2025
Journal Articles
1.
Shen, Shiying; Wenhao,; Liu, Xin; Zeng, Jianwen; Li, Sixie; Zhu, Xiaohong; Dong, Chaoqun; Wang, Bin; Shi, Yankai; Yao, Jiani; Wang, Bingsheng; Jing, Louxia; Cao, Shihua; Liang, Guanmian
From virtual to reality: innovative practices of digital twins in tumor therapy Journal Article
In: Journal of Translational Medicine, vol. 23, iss. 348, 2025.
@article{Shen2025,
title = {From virtual to reality: innovative practices of digital twins in tumor therapy},
author = {Shiying Shen and Wenhao and Xin Liu and Jianwen Zeng and Sixie Li and Xiaohong Zhu and Chaoqun Dong and Bin Wang and Yankai Shi and Jiani Yao and Bingsheng Wang and Louxia Jing and Shihua Cao and Guanmian Liang},
url = {https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-025-06371-z},
doi = {/10.1186/s12967-025-06371-z},
year = {2025},
date = {2025-03-19},
urldate = {2025-03-19},
journal = {Journal of Translational Medicine},
volume = {23},
issue = {348},
abstract = {Background As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.
Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.
Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.
Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.
However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment
decision-making, prognosis prediction, and surgical planning.
Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment.
Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.
Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.
Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.
However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment
decision-making, prognosis prediction, and surgical planning.
Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.
Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions.
Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management.
Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved.
However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment
decision-making, prognosis prediction, and surgical planning.
Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.
2.
Kumari, Anshu; Tiwari, Manish; Mor, Rahul; Jagtap, Sandeep
Mapping research frontiers in gender and sustainability in agricultural development: a bibliometric review Journal Article
In: Discover Sustainability, vol. 6, iss. 174, 2025.
@article{Kumari2025,
title = {Mapping research frontiers in gender and sustainability in agricultural development: a bibliometric review},
author = {Anshu Kumari and Manish Tiwari and Rahul Mor and Sandeep Jagtap},
url = {https://link.springer.com/article/10.1007/s43621-025-00968-6},
doi = {/10.1007/s43621-025-00968-6},
year = {2025},
date = {2025-03-16},
journal = {Discover Sustainability},
volume = {6},
issue = {174},
publisher = {Springer},
abstract = {Gender and sustainability are crucial in agriculture, which remains a significant source of global employment. However, urbanization, industrialization, and technological advancements have reshaped the sector, impacting labor dynamics and gender roles. Traditional agricultural labor faces challenges due to low wages, physically demanding tasks, and unfavorable working conditions. Addressing gender disparities and promoting inclusive work environments is essential for achieving sustainability. According to the ILO (International Labour Office) decent work encompasses productivity and equal employment opportunities for both genders. This study aims to review the literature on gender, sustainability and agricultural development using a bibliometric analysis of Scopus-indexed articles. The findings identify five main research domains: gender dynamics and roles, agriculture and climate change, sustainability and development, human and labor dynamics, and environmental and technological aspects. Additionally, four key scientific communities led the research: Gender studies, agricultural economics, environmental management, and rural sociology. Emerging research trends focus on gender roles in sustainable farming, environmental innovation, and labor governance in agriculture. Spain, the United Kingdom, United States, and Canada lead in knowledge production, contributing significantly to these research domains. This review highlights the importance of interdisciplinary approaches to address the complex issues of gender and sustainability in agriculture. It also specifies a target for expectations research, highlighting that the ILO’s definition of appropriate employment can guide efforts to improve gender equity and labor conditions, ultimately supporting sustainable development in the agricultural sector.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gender and sustainability are crucial in agriculture, which remains a significant source of global employment. However, urbanization, industrialization, and technological advancements have reshaped the sector, impacting labor dynamics and gender roles. Traditional agricultural labor faces challenges due to low wages, physically demanding tasks, and unfavorable working conditions. Addressing gender disparities and promoting inclusive work environments is essential for achieving sustainability. According to the ILO (International Labour Office) decent work encompasses productivity and equal employment opportunities for both genders. This study aims to review the literature on gender, sustainability and agricultural development using a bibliometric analysis of Scopus-indexed articles. The findings identify five main research domains: gender dynamics and roles, agriculture and climate change, sustainability and development, human and labor dynamics, and environmental and technological aspects. Additionally, four key scientific communities led the research: Gender studies, agricultural economics, environmental management, and rural sociology. Emerging research trends focus on gender roles in sustainable farming, environmental innovation, and labor governance in agriculture. Spain, the United Kingdom, United States, and Canada lead in knowledge production, contributing significantly to these research domains. This review highlights the importance of interdisciplinary approaches to address the complex issues of gender and sustainability in agriculture. It also specifies a target for expectations research, highlighting that the ILO’s definition of appropriate employment can guide efforts to improve gender equity and labor conditions, ultimately supporting sustainable development in the agricultural sector.
3.
Hinkelman, Kathryn; Garcia, Juan Diego Flores; Wang, Jing; Anbarasu, Saranya; Zuo, Wangda
A Review of Multi-Energy Systems from Resiliency and Equity Perspectives Journal Article Forthcoming
In: Forthcoming.
@article{Hinkelman2025,
title = {A Review of Multi-Energy Systems from Resiliency and Equity Perspectives},
author = {Kathryn Hinkelman and Juan Diego Flores Garcia and Jing Wang and Saranya Anbarasu and Wangda Zuo},
url = {https://orcid.org/0000-0002-8297-6036
https://engrxiv.org/preprint/view/2193
https://engrxiv.org/preprint/view/2193/7631},
doi = {/10.31224/2193 },
year = {2025},
date = {2025-02-12},
urldate = {2025-02-12},
address = {Burlington, US},
school = {University of Vermont},
abstract = {Energy infrastructure systems need to maintain resilient operation in the presence of more intense and frequent disasters, which are disproportionately challenging for low-income and disadvantaged communities. Leveraging local natural resources with renewable energy sharing opportunities, multi-energy systems (MES) – or energy hubs – are technologically viable solutions to this challenge, but their wide-scale adoption for these purposes are not well understood. To this end, this paper comprehensively reviews MES literature from both resiliency and equity perspectives. The goal is to understand synergies and disparities among literature regarding these two perspectives, under a changing climate and a long-term goal of decarbonization. The results found that papers including equity are statically more likely to involve fully renewable energy systems (highly significant, p < 0.001), while middle income countries tend to adopt renewable/carbon-producing energy systems more frequently than high income countries (weakly significant, p = 0.011). Mobile storages are implemented independently of resilience and equity scopes, and it is increasingly common to integrate multiple storage types within a MES. Sector coupling with two energy types improved the resiliency index the most (73% di!erence between baseline and proposed MES), suggesting two-type systems are favorable compared to single-networks or more complex configurations.
While some preliminary studies indicate lower operational costs and higher resilience can synergistically be achieved, more MES case studies are required to understand the life cycle costs of resilient design and operating schemes.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
Energy infrastructure systems need to maintain resilient operation in the presence of more intense and frequent disasters, which are disproportionately challenging for low-income and disadvantaged communities. Leveraging local natural resources with renewable energy sharing opportunities, multi-energy systems (MES) – or energy hubs – are technologically viable solutions to this challenge, but their wide-scale adoption for these purposes are not well understood. To this end, this paper comprehensively reviews MES literature from both resiliency and equity perspectives. The goal is to understand synergies and disparities among literature regarding these two perspectives, under a changing climate and a long-term goal of decarbonization. The results found that papers including equity are statically more likely to involve fully renewable energy systems (highly significant, p < 0.001), while middle income countries tend to adopt renewable/carbon-producing energy systems more frequently than high income countries (weakly significant, p = 0.011). Mobile storages are implemented independently of resilience and equity scopes, and it is increasingly common to integrate multiple storage types within a MES. Sector coupling with two energy types improved the resiliency index the most (73% di!erence between baseline and proposed MES), suggesting two-type systems are favorable compared to single-networks or more complex configurations.
While some preliminary studies indicate lower operational costs and higher resilience can synergistically be achieved, more MES case studies are required to understand the life cycle costs of resilient design and operating schemes.
While some preliminary studies indicate lower operational costs and higher resilience can synergistically be achieved, more MES case studies are required to understand the life cycle costs of resilient design and operating schemes.
Conferences
4.
Villard, Lionel; Bahoken, Francoise; Come, Etienne; Medina, Luis Daniel; Maisonobe, Marion
Co-authors' spatial networks analysis with Cortext Manager and Arabesque Conference
Sunbelt 2025 Paris, 2025, (INSNA).
@conference{Villard2025,
title = {Co-authors' spatial networks analysis with Cortext Manager and Arabesque},
author = {Lionel Villard and Francoise Bahoken and Etienne Come and Luis Daniel Medina and Marion Maisonobe},
url = {https://sunbelt2025.org/wp-content/uploads/2025/01/Paris-Sunbelt-2025-List-of-Accepted-Workshops-03Jan2025.pdf},
year = {2025},
date = {2025-01-03},
urldate = {2025-01-03},
address = {Paris},
organization = {Sunbelt 2025},
abstract = {In the field of scientometrics, methods derived from Social Network analysis (SNA) and Natural language processing (NLP) are among common techniques used to analyze and visualize graphs. These methods focus on both the structural and morphological aspects of the social networks investigated, whether or not their actors are localized. SNA and NLP approaches are not specifically interested in the spatial component (i.e. localization, interactions, geovisualization) of social networks. Their complementarity with gravitational approaches, combining analysis of actors' positions and separations (distance, proximity, neighborhood) has nevertheless been widely used in the field of spatial analysis in geography.
This workshop aims to present a scientometric co-authorship' analysis on a preselected topic (e.g., low carbon initiatives, climate change, AI in transportation), using Cortext Manager and Arabesque: two web applications respectively mobilized to geocode authors' affiliations addresses at several geographical scales and filtering and exploration spatial networks for
thematic mapping purposes. Emphasis will be placed on examining the contributions of different countries or groups of countries to scientific advancements in the selected field and the collaboration patterns that emerge. This hands-on session will guide participants through spatial data analysis and network analysis enabling them to identify thematic and territorial patterns within scientific communities.},
note = {INSNA},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In the field of scientometrics, methods derived from Social Network analysis (SNA) and Natural language processing (NLP) are among common techniques used to analyze and visualize graphs. These methods focus on both the structural and morphological aspects of the social networks investigated, whether or not their actors are localized. SNA and NLP approaches are not specifically interested in the spatial component (i.e. localization, interactions, geovisualization) of social networks. Their complementarity with gravitational approaches, combining analysis of actors' positions and separations (distance, proximity, neighborhood) has nevertheless been widely used in the field of spatial analysis in geography.
This workshop aims to present a scientometric co-authorship' analysis on a preselected topic (e.g., low carbon initiatives, climate change, AI in transportation), using Cortext Manager and Arabesque: two web applications respectively mobilized to geocode authors' affiliations addresses at several geographical scales and filtering and exploration spatial networks for
thematic mapping purposes. Emphasis will be placed on examining the contributions of different countries or groups of countries to scientific advancements in the selected field and the collaboration patterns that emerge. This hands-on session will guide participants through spatial data analysis and network analysis enabling them to identify thematic and territorial patterns within scientific communities.
This workshop aims to present a scientometric co-authorship' analysis on a preselected topic (e.g., low carbon initiatives, climate change, AI in transportation), using Cortext Manager and Arabesque: two web applications respectively mobilized to geocode authors' affiliations addresses at several geographical scales and filtering and exploration spatial networks for
thematic mapping purposes. Emphasis will be placed on examining the contributions of different countries or groups of countries to scientific advancements in the selected field and the collaboration patterns that emerge. This hands-on session will guide participants through spatial data analysis and network analysis enabling them to identify thematic and territorial patterns within scientific communities.
2024
Journal Articles
5.
Montarry, Josselin; Biget, Marine; Chereau, Sylvain; Lebreton, Lionel; Grenier, Eric; Fournet, Sylvain
The carrot cyst nematode Heterodera carotae: a major plant-parasitic nematode requiring more investigation Journal Article
In: Nematology , vol. 26, pp. 1079-1089, 2024, ISSN: 1388-5545.
@article{Montarry2024,
title = {The carrot cyst nematode Heterodera carotae: a major plant-parasitic nematode requiring more investigation},
author = {Josselin Montarry and Marine Biget and Sylvain Chereau and Lionel Lebreton and Eric Grenier and Sylvain Fournet},
url = {https://brill.com/view/journals/nemy/26/10/article-p1079_1.xml},
doi = {http://dx.doi.org/10.1163/15685411-bja10361},
issn = {1388-5545},
year = {2024},
date = {2024-10-22},
journal = {Nematology },
volume = {26},
pages = {1079-1089},
publisher = {Brill},
abstract = {The present study reviews the knowledge to date on the carrot cyst nematode Heterodera carotae, which has become the primary threat to the carrot sector following the withdrawal of the last chemical soil fumigants in Europe. A keyword co-occurrence network was used to structure this review into five research areas: i) biology and epidemiology of H. carotae; ii) molecular identification and phylogeny; iii) population genetics and genomics; iv) control methods and strategies; and v) root exudates and hatching stimulation. Our findings indicate that H. carotae is an under-studied plant-parasitic nematode species, with several identified alternative control methods that require further investigation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The present study reviews the knowledge to date on the carrot cyst nematode Heterodera carotae, which has become the primary threat to the carrot sector following the withdrawal of the last chemical soil fumigants in Europe. A keyword co-occurrence network was used to structure this review into five research areas: i) biology and epidemiology of H. carotae; ii) molecular identification and phylogeny; iii) population genetics and genomics; iv) control methods and strategies; and v) root exudates and hatching stimulation. Our findings indicate that H. carotae is an under-studied plant-parasitic nematode species, with several identified alternative control methods that require further investigation.
6.
Toma, Pierluigi; Laurens, Patricia
Regional development and intellectual capital: Unveiling the innovation-tradition dilemma Journal Article
In: Socio-Economic Planning Sciences, vol. 96, pp. 102087, 2024, ISSN: 0038-0121.
@article{Toma2024,
title = {Regional development and intellectual capital: Unveiling the innovation-tradition dilemma},
author = {Pierluigi Toma and Patricia Laurens},
url = {https://www.sciencedirect.com/science/article/pii/S0038012124002878},
doi = {/10.1016/j.seps.2024.102087},
issn = {0038-0121},
year = {2024},
date = {2024-10-05},
journal = {Socio-Economic Planning Sciences},
volume = {96},
pages = {102087},
abstract = {In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agri-food sector, which has a strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agri-food sector, which has a strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect.
7.
Bautista-Puig, Núria; Orduña-Malea, Enrique
How do Citizens Engage with Science. Challenges and Recommendations Journal Article
In: Profesional De La información, vol. 33, iss. 6, 2024, ISSN: 1699-2407.
@article{Bautista-Puig2024b,
title = {How do Citizens Engage with Science. Challenges and Recommendations},
author = {Núria Bautista-Puig and Enrique Orduña-Malea},
url = {https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87884},
doi = {/10.3145/epi.2024.0601},
issn = {1699-2407},
year = {2024},
date = {2024-09-03},
urldate = {2025-01-03},
journal = {Profesional De La información},
volume = {33},
issue = {6},
abstract = {Citizen science (CS) has become a crucial form of public participation in science, helping to address global challenges and contribute to more democratic knowledge production. Despite its increasing presence (including literature reviews), uncertainties persist regarding the quality of data collected, the level of citizen participation, and ethical concerns. This editorial explores CS participation, aiming to provide a comprehensive analysis of engagement patterns, and challenges, and offering recommendations to enhance citizen involvement in scientific initiatives. A systematic review of existing literature indexed on Web of Science is conducted, following the PRISMA framework. The review covered 1,613 selected studies examining ‘participation’ across various scientific fields, identifying the methodologies used and the factors influencing engagement, such as benefits, challenges, and ethical concerns. The results reveal a growing trend in CS, particularly in the natural sciences, with citizen involvement mostly limited to data collection rather than higher-level engagement like analysis or decision-making. The study also highlights the underrepresentation of social sciences and the need for more interdisciplinary approaches. In conclusion, the article calls for increased interdisciplinarity, greater integration of citizens in decision-making processes, diversification of participatory methods, and context-specific strategies for participation. It emphasizes the importance of fostering public trust and awareness in science and proposes that these actions will improve the inclusivity and impact of citizen science initiatives.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Citizen science (CS) has become a crucial form of public participation in science, helping to address global challenges and contribute to more democratic knowledge production. Despite its increasing presence (including literature reviews), uncertainties persist regarding the quality of data collected, the level of citizen participation, and ethical concerns. This editorial explores CS participation, aiming to provide a comprehensive analysis of engagement patterns, and challenges, and offering recommendations to enhance citizen involvement in scientific initiatives. A systematic review of existing literature indexed on Web of Science is conducted, following the PRISMA framework. The review covered 1,613 selected studies examining ‘participation’ across various scientific fields, identifying the methodologies used and the factors influencing engagement, such as benefits, challenges, and ethical concerns. The results reveal a growing trend in CS, particularly in the natural sciences, with citizen involvement mostly limited to data collection rather than higher-level engagement like analysis or decision-making. The study also highlights the underrepresentation of social sciences and the need for more interdisciplinary approaches. In conclusion, the article calls for increased interdisciplinarity, greater integration of citizens in decision-making processes, diversification of participatory methods, and context-specific strategies for participation. It emphasizes the importance of fostering public trust and awareness in science and proposes that these actions will improve the inclusivity and impact of citizen science initiatives.
8.
Truchet-Aznar, Stéphanie; Aubert, Francis; Aznar, Olivier; Davi, Béatrice
How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications Journal Article
In: Sage, 2024, ISSN: 0160-0176.
@article{Truchet-Aznar2024,
title = {How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications},
author = {Stéphanie Truchet-Aznar and Francis Aubert and Olivier Aznar and Béatrice Davi},
url = {https://journals.sagepub.com/doi/full/10.1177/01600176241267206},
doi = {/10.1177/01600176241267206},
issn = {0160-0176},
year = {2024},
date = {2024-07-23},
journal = {Sage},
publisher = {SAGE Publications},
abstract = {Using bibliometric methods, this paper is aimed at providing an overview of Regional Science publications that address environmental issues. The analysis covers a corpus of 1145 articles that refer to the environment in their title, abstract or keywords and published in 18 journals between 1999 and 2020. Although these publications account for only 6 percent of the articles published in these journals over that period, their number gradually increased. To gain a clearer picture of the environmental issues addressed, we characterise them according to whether an integrative or topical approach is adopted and by their spatial dimensions. This analytical framework is first applied by searching for specific terms in their title, keywords and abstract. The results show that both approaches are equally effective; further, these articles address intraregional or interregional environmental issues more than global environmental issues. Second, we conduct a keyword co-occurrence analysis revealing four coherent thematic article groups treating environmental issues from the perspectives of amenities and migration, governance and policy, innovation and clusters, and land use and urban sprawl. More detailed analyses of each group allowed us to refine our understanding of how environmental issues were addressed. Finally, a cross-cutting view of the four thematic groups suggests that Regional Science approaches environmental issues through spatial disparities and inequalities, spatial interactions and interdependencies, and the spatial dimension of public action. The research perspectives in each of these areas are highlighted.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Using bibliometric methods, this paper is aimed at providing an overview of Regional Science publications that address environmental issues. The analysis covers a corpus of 1145 articles that refer to the environment in their title, abstract or keywords and published in 18 journals between 1999 and 2020. Although these publications account for only 6 percent of the articles published in these journals over that period, their number gradually increased. To gain a clearer picture of the environmental issues addressed, we characterise them according to whether an integrative or topical approach is adopted and by their spatial dimensions. This analytical framework is first applied by searching for specific terms in their title, keywords and abstract. The results show that both approaches are equally effective; further, these articles address intraregional or interregional environmental issues more than global environmental issues. Second, we conduct a keyword co-occurrence analysis revealing four coherent thematic article groups treating environmental issues from the perspectives of amenities and migration, governance and policy, innovation and clusters, and land use and urban sprawl. More detailed analyses of each group allowed us to refine our understanding of how environmental issues were addressed. Finally, a cross-cutting view of the four thematic groups suggests that Regional Science approaches environmental issues through spatial disparities and inequalities, spatial interactions and interdependencies, and the spatial dimension of public action. The research perspectives in each of these areas are highlighted.
9.
Mesmoudi, Salma; Dégeilh, Fanny; Cancino, Waldo; Rodic, Mathieu; Peschanski, Denis; Eustache, Francis
Transdisciplinary method for exploration and visualization of neuroimaging papers and databases: Application to PTSD Journal Article
In: 2024, (Annales Médico-psychologiques, revue psychiatrique).
@article{Mesmoudi2024,
title = {Transdisciplinary method for exploration and visualization of neuroimaging papers and databases: Application to PTSD},
author = {Salma Mesmoudi and Fanny Dégeilh and Waldo Cancino and Mathieu Rodic and Denis Peschanski and Francis Eustache},
url = {https://www.sciencedirect.com/science/article/pii/S0003448724002142},
doi = {/10.1016/j.amp.2024.06.003},
year = {2024},
date = {2024-07-14},
urldate = {2024-07-14},
abstract = {A major improvement in MRI techniques has led to an exponential increase in data acquisition and, consequently, in the number of published articles reporting brain impairments and cognitive deficits underlying a disorder. Meta-analysis offers a means of synthesizing the available literature, testing existing models in the light of scientific advances, and revealing unexpected information. However, article selection, author specialization and top-down hypotheses can mask some results and introduce bias into interpretations. LinkRdata is a platform for automated, data-driven, meta-analytical methods suitable for processing large numbers of MRI articles, that can reduce selection and interpretation biases, thereby allowing scientists to review neurocognitive correlates of disorders in relation to their own corpus of articles. To validate our method, we applied it to fMRI studies of post-traumatic stress disorder. Results confirmed LinkRdata's power to uncover findings hidden by the top-down hypothesis approach.
Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique
Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.},
note = {Annales Médico-psychologiques, revue psychiatrique},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
A major improvement in MRI techniques has led to an exponential increase in data acquisition and, consequently, in the number of published articles reporting brain impairments and cognitive deficits underlying a disorder. Meta-analysis offers a means of synthesizing the available literature, testing existing models in the light of scientific advances, and revealing unexpected information. However, article selection, author specialization and top-down hypotheses can mask some results and introduce bias into interpretations. LinkRdata is a platform for automated, data-driven, meta-analytical methods suitable for processing large numbers of MRI articles, that can reduce selection and interpretation biases, thereby allowing scientists to review neurocognitive correlates of disorders in relation to their own corpus of articles. To validate our method, we applied it to fMRI studies of post-traumatic stress disorder. Results confirmed LinkRdata's power to uncover findings hidden by the top-down hypothesis approach.
Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique
Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.
Méthode transdisciplinaire d’exploration et de visualisation d’articles et de bases de données de neuroimagerie : application au stress post-traumatique
Une amélioration majeure des techniques d’IRM a conduit à une augmentation exponentielle de l’acquisition de données et, par conséquent, du nombre d’articles publiés rapportant des altérations cérébrales et des déficits cognitifs liés à un trouble. La méta-analyse offre un moyen de synthétiser la littérature disponible, de tester les modèles existants à la lumière des avancées scientifiques, et de révéler des informations inattendues. Cependant, la sélection des articles, la spécialisation des auteurs et les hypothèses descendantes peuvent masquer certains résultats et introduire des biais dans les interprétations. LinkRdata est une plateforme de méthodes méta-analytiques automatisées et basées sur les données, adaptée au traitement d’un grand nombre d’articles d’IRM, qui peut réduire les biais de sélection et d’interprétation, permettant ainsi aux chercheurs de passer en revue les corrélats neurocognitifs des troubles en relation avec leur propre corpus d’articles. Pour valider notre méthode, nous l’avons appliquée à des études d’IRMf sur le trouble de stress post-traumatique. Les résultats ont confirmé la capacité de LinkRdata à mettre en évidence des résultats cachés par l’approche hypothétique descendante.
10.
Li, Bo; Xu, Zeshui; Wang, Xinxin
Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion Journal Article
In: Soft Computing, vol. 28, pp. 9371–9386, 2024.
@article{Li2024,
title = {Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion},
author = {Bo Li and Zeshui Xu and Xinxin Wang},
url = {https://link.springer.com/article/10.1007/s00500-024-09789-7},
doi = {/10.1007/s00500-024-09789-7},
year = {2024},
date = {2024-07-05},
journal = {Soft Computing},
volume = {28},
pages = {9371–9386},
abstract = {Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many fields, such as neural networks, genetic algorithms, and swarm intelligence, artificial intelligence, risk management, financial monitoring, etc. With the development of CI, abundant publications have arisen related to many research directions and hotspots. Based on the technical support from bibliometrics and the corresponding approach as well as the content analysis, this study conducts a science mapping analysis and a coherent knowledge picture of the research field in CI. The research contributes to clear future development trends and provides more ideas for scholars in this field. First, this paper focuses on the fundamental characteristics of CI publications, including annual numbers, term co-occurrence, and hot research directions, as the preliminary exploration of this field. Then, according to the widely used core database, i.e., Web of Science (WoS), and the technologies of software, VOS viewer, and CiteSpace, the productive institutions, authors, and journals are explored. Next, the corresponding internal characteristics of the CI research are analyzed, including the citation features of countries/regions, institutions, journals and authors. Furthermore, to analyze the development trend of research hotspots, the keywords of all CI publications are studied: (a) classifying them into three phases in chronological order aimed; (b) implementing the burst detection algorithm to intuitively reflect the scientific research in the field of CI. Finally, this paper provides a relatively throughout perspective for the CI articles and reviews and discloses the future development trend, which will help the scholars interested in this area conduct deep research. We conclude this bibliometric overview with the limitations and recommendations for future research in the field of CI.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many fields, such as neural networks, genetic algorithms, and swarm intelligence, artificial intelligence, risk management, financial monitoring, etc. With the development of CI, abundant publications have arisen related to many research directions and hotspots. Based on the technical support from bibliometrics and the corresponding approach as well as the content analysis, this study conducts a science mapping analysis and a coherent knowledge picture of the research field in CI. The research contributes to clear future development trends and provides more ideas for scholars in this field. First, this paper focuses on the fundamental characteristics of CI publications, including annual numbers, term co-occurrence, and hot research directions, as the preliminary exploration of this field. Then, according to the widely used core database, i.e., Web of Science (WoS), and the technologies of software, VOS viewer, and CiteSpace, the productive institutions, authors, and journals are explored. Next, the corresponding internal characteristics of the CI research are analyzed, including the citation features of countries/regions, institutions, journals and authors. Furthermore, to analyze the development trend of research hotspots, the keywords of all CI publications are studied: (a) classifying them into three phases in chronological order aimed; (b) implementing the burst detection algorithm to intuitively reflect the scientific research in the field of CI. Finally, this paper provides a relatively throughout perspective for the CI articles and reviews and discloses the future development trend, which will help the scholars interested in this area conduct deep research. We conclude this bibliometric overview with the limitations and recommendations for future research in the field of CI.
11.
Rikap, Cecilia
In: Review of inteRnational Political economy, 2024.
@article{Rikap2024,
title = {Varieties of corporate innovation systems and their interplay with global and national systems: Amazon, Facebook, Google and Microsoft’s strategies to produce and appropriate artificial intelligence},
author = {Cecilia Rikap},
url = {https://www.tandfonline.com/doi/pdf/10.1080/09692290.2024.2365757},
doi = {https://doi.org/10.1016/j.seps.2024.102087},
year = {2024},
date = {2024-06-24},
urldate = {2024-06-24},
journal = {Review of inteRnational Political economy},
abstract = {The widely accepted globalization of innovation entails two interrelated undertheorized aspects: (1) the capacity of certain firms to orchestrate transnational innovation systems appropriating successful results, which some have explained with the concept of corporate innovation systems (CIS), and (2) the co-existence of such globalization with those CIS and national innovation systems. I address these matters analysing US Big Tech artificial intelligence (AI) CIS showing that they combine multiple mechanisms to co-produce and appropriate AI. I propose ‘frenemy’ to describe Microsoft’s strategy because many Chinese organizations and even direct competitors integrate its CIS. ‘University’ symbolises Google’s strategy, given its focus on fundamental AI, its central place in the AI research field and appropriation mechanisms that are not translating into clear business advantages. ‘Secrecy’ defines Amazon’s strategy, maximizing knowledge inflows while minimizing outflows. Facebook, with the narrowest AI CIS, exhibits an ‘application-centred’ strategy. Ultimately, this paper contributes to understanding the multiple mechanisms used by leading corporations for controlling and shaping frontier transnational knowledge production and appropriation. By doing so, it advances our knowledge of the interplay between different innovation spheres (national, global and corporate) and highlights the dangers of CIS’s encroachment of national and global systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The widely accepted globalization of innovation entails two interrelated undertheorized aspects: (1) the capacity of certain firms to orchestrate transnational innovation systems appropriating successful results, which some have explained with the concept of corporate innovation systems (CIS), and (2) the co-existence of such globalization with those CIS and national innovation systems. I address these matters analysing US Big Tech artificial intelligence (AI) CIS showing that they combine multiple mechanisms to co-produce and appropriate AI. I propose ‘frenemy’ to describe Microsoft’s strategy because many Chinese organizations and even direct competitors integrate its CIS. ‘University’ symbolises Google’s strategy, given its focus on fundamental AI, its central place in the AI research field and appropriation mechanisms that are not translating into clear business advantages. ‘Secrecy’ defines Amazon’s strategy, maximizing knowledge inflows while minimizing outflows. Facebook, with the narrowest AI CIS, exhibits an ‘application-centred’ strategy. Ultimately, this paper contributes to understanding the multiple mechanisms used by leading corporations for controlling and shaping frontier transnational knowledge production and appropriation. By doing so, it advances our knowledge of the interplay between different innovation spheres (national, global and corporate) and highlights the dangers of CIS’s encroachment of national and global systems.
12.
Gourlet, Pauline; Ricci, Donato; Crépel, Maxime
Reclaiming artificial intelligence accounts: A plea for a participatory turn in artificial intelligence inquiries Journal Article
In: Big Data & Society, 2024.
@article{Gourlet2024,
title = {Reclaiming artificial intelligence accounts: A plea for a participatory turn in artificial intelligence inquiries},
author = {Pauline Gourlet and Donato Ricci and Maxime Crépel},
url = {https://journals.sagepub.com/doi/pdf/10.1177/20539517241248093},
doi = {0.1177/20539517241248093},
year = {2024},
date = {2024-05-01},
urldate = {2024-05-01},
journal = {Big Data & Society},
abstract = {How to participate in artificial intelligence otherwise? Put simply, when it comes to technological developments, participation is either understood as public debates with non-expert voices to anticipate risks and potential harms, or as a way to better design technical systems by involving diverse stakeholders in the design process. We advocate for a third path that considers participation as crucial to problematise what is at stake and to get a grip on the situated developments of artificial intelligence technologies.
This study addresses how the production of accounts shape problems that arise with artificial intelligence technologies.
Taking France as a field of study, we first inspected how media narratives account for the entities and issues of artificial intelligence, as reported by the national press over the last decade. From this inspection, we identified four genres and described their performative effects. We then conducted a participatory inquiry with 25 French artificial intelligence practitioners’ to ground artificial intelligence in situated experiences and trajectories. These experiential accounts enabled a plural problematisation of artificial intelligence, playing with the geometries of artificial intelligence and its constituencies, while diversifying and thickening its problems.
To conclude, we discuss how participatory inquiries, through experiential and plural accounts offer a refreshing weaving of artificial intelligence problems into the fabric of its deployments. Our participatory approach seeks to re-politicise artificial intelligence from practitioners’ situated experiences, by making the ongoing relationships between past trajectories, current frictions and future developments tangible and contestable, opening avenues to contribute otherwise.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
How to participate in artificial intelligence otherwise? Put simply, when it comes to technological developments, participation is either understood as public debates with non-expert voices to anticipate risks and potential harms, or as a way to better design technical systems by involving diverse stakeholders in the design process. We advocate for a third path that considers participation as crucial to problematise what is at stake and to get a grip on the situated developments of artificial intelligence technologies.
This study addresses how the production of accounts shape problems that arise with artificial intelligence technologies.
Taking France as a field of study, we first inspected how media narratives account for the entities and issues of artificial intelligence, as reported by the national press over the last decade. From this inspection, we identified four genres and described their performative effects. We then conducted a participatory inquiry with 25 French artificial intelligence practitioners’ to ground artificial intelligence in situated experiences and trajectories. These experiential accounts enabled a plural problematisation of artificial intelligence, playing with the geometries of artificial intelligence and its constituencies, while diversifying and thickening its problems.
To conclude, we discuss how participatory inquiries, through experiential and plural accounts offer a refreshing weaving of artificial intelligence problems into the fabric of its deployments. Our participatory approach seeks to re-politicise artificial intelligence from practitioners’ situated experiences, by making the ongoing relationships between past trajectories, current frictions and future developments tangible and contestable, opening avenues to contribute otherwise.
This study addresses how the production of accounts shape problems that arise with artificial intelligence technologies.
Taking France as a field of study, we first inspected how media narratives account for the entities and issues of artificial intelligence, as reported by the national press over the last decade. From this inspection, we identified four genres and described their performative effects. We then conducted a participatory inquiry with 25 French artificial intelligence practitioners’ to ground artificial intelligence in situated experiences and trajectories. These experiential accounts enabled a plural problematisation of artificial intelligence, playing with the geometries of artificial intelligence and its constituencies, while diversifying and thickening its problems.
To conclude, we discuss how participatory inquiries, through experiential and plural accounts offer a refreshing weaving of artificial intelligence problems into the fabric of its deployments. Our participatory approach seeks to re-politicise artificial intelligence from practitioners’ situated experiences, by making the ongoing relationships between past trajectories, current frictions and future developments tangible and contestable, opening avenues to contribute otherwise.
13.
Blackwell, Benjamin; Yaneva, Albena
School buildings as performative machines: the new architectural devices of control Journal Article
In: Social & Cultural Geography, 2024.
@article{Blackwell2024,
title = {School buildings as performative machines: the new architectural devices of control},
author = {Benjamin Blackwell and Albena Yaneva},
url = {https://www.tandfonline.com/doi/pdf/10.1080/14649365.2024.2334947},
doi = {10.1080/14649365.2024.2334947},
year = {2024},
date = {2024-04-12},
journal = {Social & Cultural Geography},
abstract = {The past two decades saw a growing attention to the role of design for the geography of education and simultaneously shifted architectural attention towards the understanding of different forms of pedagogy. Yet, careful empirical engagements with the material architecture of contemporary school buildings and the experiences they mediate are still scarce or missing. Focussing on how mechanisms of control are imagined and practiced in the design and use of school buildings, this article fleshes out a picture of the performative spatial machinery of schools. It will do so drawing on designers’ accounts, plans and visions for a Building Schools for the Future (BSF) building in Liverpool, UK and on accounts of the experiences of different school dwellers. Overcoming the dualist understanding of education as an activity that happens in objective frames of learning (the static architecture of the schools) or the subjective interpretations of users (the perception of teachers and students), we trace specific practices of ‘dwelling’ in the school building and identify architectural and designerly techniques for modulating control. Instead of dissipating or reducing control, or merely reproducing the classic forms of power, this versatile and porous type of architecture, we argue, multiplies and diversifies the forms of ‘polycentric’ control exercised through various intersecting lines of
sight and sound.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The past two decades saw a growing attention to the role of design for the geography of education and simultaneously shifted architectural attention towards the understanding of different forms of pedagogy. Yet, careful empirical engagements with the material architecture of contemporary school buildings and the experiences they mediate are still scarce or missing. Focussing on how mechanisms of control are imagined and practiced in the design and use of school buildings, this article fleshes out a picture of the performative spatial machinery of schools. It will do so drawing on designers’ accounts, plans and visions for a Building Schools for the Future (BSF) building in Liverpool, UK and on accounts of the experiences of different school dwellers. Overcoming the dualist understanding of education as an activity that happens in objective frames of learning (the static architecture of the schools) or the subjective interpretations of users (the perception of teachers and students), we trace specific practices of ‘dwelling’ in the school building and identify architectural and designerly techniques for modulating control. Instead of dissipating or reducing control, or merely reproducing the classic forms of power, this versatile and porous type of architecture, we argue, multiplies and diversifies the forms of ‘polycentric’ control exercised through various intersecting lines of
sight and sound.
sight and sound.
14.
van der Pol, Johannes
The impact of funding on the 5G innovation ecosystem Journal Article
In: Scientometrics, 2024.
@article{vanderPol2024,
title = {The impact of funding on the 5G innovation ecosystem},
author = {Johannes van der Pol},
url = {https://link.springer.com/article/10.1007/s11192-024-04954-z
https://link.springer.com/content/pdf/10.1007/s11192-024-04954-z.pdf},
doi = {/10.1007/s11192-024-04954-z},
year = {2024},
date = {2024-03-01},
urldate = {2024-03-01},
journal = {Scientometrics},
abstract = {This paper aims to extend the literature on the impact of research funding. Using 5G as a case study, this paper analyses how funding impacts the 5G innovation ecosystem. Using the functions of innovation systems as a framework, we analyse how several of these func- tions are influenced by research funding. The results a portion of the ecosystem only par- ticipates with funding. In addition the structure of the ecosystem is significantly altered. Research topics are also influenced by funding: some being mostly treated through fund- ing. Funding has little to no impact on the publications that lead to patents.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper aims to extend the literature on the impact of research funding. Using 5G as a case study, this paper analyses how funding impacts the 5G innovation ecosystem. Using the functions of innovation systems as a framework, we analyse how several of these func- tions are influenced by research funding. The results a portion of the ecosystem only par- ticipates with funding. In addition the structure of the ecosystem is significantly altered. Research topics are also influenced by funding: some being mostly treated through fund- ing. Funding has little to no impact on the publications that lead to patents.
15.
Colombo, Massimo G.; Montanaro, Benedetta; Shafi, Kourosh
Dancing with Strangers? Initial Trust and the Formation of Initial Ties Between New Ventures and Corporate Venture Capitalists Journal Article
In: Entrepreneurship Theory and Practice, pp. 1-43, 2024.
@article{Colombo2024,
title = {Dancing with Strangers? Initial Trust and the Formation of Initial Ties Between New Ventures and Corporate Venture Capitalists},
author = {Massimo G. Colombo and Benedetta Montanaro and Kourosh Shafi},
url = {https://www.researchgate.net/publication/378226801_Dancing_with_Strangers_Initial_Trust_and_the_Formation_of_Initial_Ties_Between_New_Ventures_and_Corporate_Venture_Capitalists
},
doi = {10.1177/10422587241227635},
year = {2024},
date = {2024-02-29},
journal = {Entrepreneurship Theory and Practice},
pages = {1-43},
abstract = {This study proposes a hybrid model of initial trust formation that highlights the role of social categorization and its interplay with both institutional trust and the individuating information about the party. Using data on 1,474 corporate venture capital (CVC) investments in European ventures and a case-control research design, we find that ventures more likely form initial CVC ties with investors whose parent companies are located in countries considered more trust- worthy. This effect is weaker but does not disappear when social defenses safeguard ventures from misplacing trust and when there are social ties between CVC investors and ventures’ inde- pendent VC investors.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This study proposes a hybrid model of initial trust formation that highlights the role of social categorization and its interplay with both institutional trust and the individuating information about the party. Using data on 1,474 corporate venture capital (CVC) investments in European ventures and a case-control research design, we find that ventures more likely form initial CVC ties with investors whose parent companies are located in countries considered more trust- worthy. This effect is weaker but does not disappear when social defenses safeguard ventures from misplacing trust and when there are social ties between CVC investors and ventures’ inde- pendent VC investors.
16.
Qin, Yong; Xu, Zeshui; Wang, Xinxin; Skare, Marinko
Fuzzy decision-making in tourism and hospitality: A bibliometric review Journal Article
In: Journal of Intelligent & Fuzzy Systems, vol. 46, iss. 2, pp. 4955-4980, 2024.
@article{Qin2024,
title = {Fuzzy decision-making in tourism and hospitality: A bibliometric review},
author = {Yong Qin and Zeshui Xu and Xinxin Wang and Marinko Skare},
doi = {/10.3233/JIFS-236618},
year = {2024},
date = {2024-02-29},
journal = {Journal of Intelligent & Fuzzy Systems},
volume = {46},
issue = {2},
pages = {4955-4980},
abstract = {Fuzzy decision-making is increasingly becoming a pivotal approach to solving complex and intricate issues in tourism and hospitality management. The primary objective of this study is to unveil the developmental status, key themes and research trends within fuzzy decision-making in tourism and hospitality management (FDMTH) using Bibliometrix, CorText Manager and VOSviewer tools. As such, we conduct a comprehensive bibliometric and content-wise analysis of selected 341 publications concerning FDMTH. For one thing, we use valuable bibliometric indicators to conduct a general feature peek and performance analysis of the audited corpus. The research findings reveal a sustained scholarly interest in FDMTH. As a critical player, Pappas, Nikolaos leads the volume of publications. The Journal of Intelligent & Fuzzy Systems stands out as the preferred outlet for FDMTH research. For another, the contingency matrix and bump graph modules are employed to detect the knowledge flow and intellectual connections in FDMTH. The results of network mapping tentatively identify geographic and thematic biases in FDMTH. More importantly, bibliographic coupling analysis reveals four specific themes, namely multi-criteria decision-making and evaluation, factors identification, fuzzy programming and forecasting, and fuzzy intelligence. Our pioneer work will contribute to the present understanding of the complexity and interdisciplinarity of FDMTH.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fuzzy decision-making is increasingly becoming a pivotal approach to solving complex and intricate issues in tourism and hospitality management. The primary objective of this study is to unveil the developmental status, key themes and research trends within fuzzy decision-making in tourism and hospitality management (FDMTH) using Bibliometrix, CorText Manager and VOSviewer tools. As such, we conduct a comprehensive bibliometric and content-wise analysis of selected 341 publications concerning FDMTH. For one thing, we use valuable bibliometric indicators to conduct a general feature peek and performance analysis of the audited corpus. The research findings reveal a sustained scholarly interest in FDMTH. As a critical player, Pappas, Nikolaos leads the volume of publications. The Journal of Intelligent & Fuzzy Systems stands out as the preferred outlet for FDMTH research. For another, the contingency matrix and bump graph modules are employed to detect the knowledge flow and intellectual connections in FDMTH. The results of network mapping tentatively identify geographic and thematic biases in FDMTH. More importantly, bibliographic coupling analysis reveals four specific themes, namely multi-criteria decision-making and evaluation, factors identification, fuzzy programming and forecasting, and fuzzy intelligence. Our pioneer work will contribute to the present understanding of the complexity and interdisciplinarity of FDMTH.
17.
Chiffoleau, Yuna; Dourian, Tara; Enderli, Géraldine; Mattioni, Dalia; Akermann, Grégori; Loconto, Allison; Galli, Francesca; Emese, Gulyás; Perényi, Zsófia; Colombo, Luca; Massari, Sonia; Desclaux, Dominique
Reversing the trend of agrobiodiversity decline by co-developing food chains with consumers: A European survey for change Journal Article
In: 2024.
@article{Chiffoleau2024,
title = {Reversing the trend of agrobiodiversity decline by co-developing food chains with consumers: A European survey for change},
author = {Yuna Chiffoleau and Tara Dourian and Géraldine Enderli and Dalia Mattioni and Grégori Akermann and Allison Loconto and Francesca Galli and Gulyás Emese and Zsófia Perényi and Luca Colombo and Sonia Massari and Dominique Desclaux},
url = {https://www.sciencedirect.com/science/article/pii/S2352550924000575},
doi = {/10.1016/j.spc.2024.02.032},
year = {2024},
date = {2024-02-22},
abstract = {Agrobiodiversity is in rapid decline, due to the intensification of agriculture and the development of food value chains based on industrial processing techniques. However, consumers are not generally involved in developing solutions to reverse this trend and their relation to agrobiodiversity remains largely unknown. As part of a European project, and with the aim of involving consumers in guiding research, innovation and policies, a large online survey (n=2,397) and focus groups (n= 82) were carried out in seven countries to gather consumers’ preferences and aversions regarding the use of agrobiodiversity in food chains in relation to their environmental concerns, food consumption practices and knowledge. Using the majority judgment approach typically used to improve political votes, different options for using of agrobiodiversity in food chains were proposed to citizen-consumers. Results first showed that the decline of agrobiodiversity is a concern for consumers, but does not guide food choices. Then, the alternative options for using agrobiodiversity in food chains, previously documented as favourable to its conservation and development, received positive votes from a large majority of respondents, regardless of their socio-economic category. However, the research showed that respondents seem to have limited knowledge on the subject. This study calls for more research and policies to support alternative options for using agrobiodiversity in food chains. It also encourages the co-development of agrobiodiversity-based markets with citizen-consumers as well as the creation of food environments conducive to learning on agrobiodiversity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Agrobiodiversity is in rapid decline, due to the intensification of agriculture and the development of food value chains based on industrial processing techniques. However, consumers are not generally involved in developing solutions to reverse this trend and their relation to agrobiodiversity remains largely unknown. As part of a European project, and with the aim of involving consumers in guiding research, innovation and policies, a large online survey (n=2,397) and focus groups (n= 82) were carried out in seven countries to gather consumers’ preferences and aversions regarding the use of agrobiodiversity in food chains in relation to their environmental concerns, food consumption practices and knowledge. Using the majority judgment approach typically used to improve political votes, different options for using of agrobiodiversity in food chains were proposed to citizen-consumers. Results first showed that the decline of agrobiodiversity is a concern for consumers, but does not guide food choices. Then, the alternative options for using agrobiodiversity in food chains, previously documented as favourable to its conservation and development, received positive votes from a large majority of respondents, regardless of their socio-economic category. However, the research showed that respondents seem to have limited knowledge on the subject. This study calls for more research and policies to support alternative options for using agrobiodiversity in food chains. It also encourages the co-development of agrobiodiversity-based markets with citizen-consumers as well as the creation of food environments conducive to learning on agrobiodiversity.
18.
Bautista-Puig, Núria; Barreiro-Gen, María; Statulevičiūtė, Gustė; Stančiauskas, Vilius; Dikmener, Gokhan; Akylbekova, Dina; Lozano, Rodrigo
Unraveling public perceptions of the Sustainable Development Goals for better policy implementation Journal Article
In: Science of The Total Environment, vol. 912, pp. 169114, 2024, ISSN: 0048-9697.
@article{Bautista-Puig2024,
title = {Unraveling public perceptions of the Sustainable Development Goals for better policy implementation},
author = {Núria Bautista-Puig and María Barreiro-Gen and Gustė Statulevičiūtė and Vilius Stančiauskas and Gokhan Dikmener and Dina Akylbekova and Rodrigo Lozano},
url = {https://www.sciencedirect.com/science/article/pii/S0048969723077446},
doi = {/10.1016/j.scitotenv.2023.169114},
issn = {0048-9697},
year = {2024},
date = {2024-02-20},
journal = {Science of The Total Environment},
volume = {912},
pages = {169114},
abstract = {Public participation is crucial for policy-making and can contribute to strengthening democracies and decision-making. Public participation can help to address sustainability challenges and plays a key role in attaining the Sustainable Development Goals (SDGs). While the SDGs are policy concepts, there has been limited research conducted on how the public perceives the SDGs. Public participation in scientific research has been carried out through citizen science (CS). This paper analyzes the public's perception of the SDGs through CS and how the public can participate in their implementation. The paper uses the OSDG community platform, a citizen science platform with >2000 participants, to analyze public perception of the SDGs. A set of 40,062 excerpts of text (v2023-01-01), a topic modeling and agreement scores by using CorTexT Manager software, was analyzed. The results show that some SDGs, e.g. health (SDG3) or life below water (SDG14), have higher levels of agreement from the public, whilst for other SDGs the public disagree on their perception, (e.g. zero hunger). The paper shows that issues affecting citizens' daily lives (e.g. in People related goals) tend to have a higher level of agreement among volunteers, while economic issues and directives have greater discrepancies. The results provide an overview of the differences in public perception on the SDGs and their implementation. The misperceptions regarding the SDGs should be reduced to achieve a better implementation, improve public participation, and help policy-making processes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Public participation is crucial for policy-making and can contribute to strengthening democracies and decision-making. Public participation can help to address sustainability challenges and plays a key role in attaining the Sustainable Development Goals (SDGs). While the SDGs are policy concepts, there has been limited research conducted on how the public perceives the SDGs. Public participation in scientific research has been carried out through citizen science (CS). This paper analyzes the public's perception of the SDGs through CS and how the public can participate in their implementation. The paper uses the OSDG community platform, a citizen science platform with >2000 participants, to analyze public perception of the SDGs. A set of 40,062 excerpts of text (v2023-01-01), a topic modeling and agreement scores by using CorTexT Manager software, was analyzed. The results show that some SDGs, e.g. health (SDG3) or life below water (SDG14), have higher levels of agreement from the public, whilst for other SDGs the public disagree on their perception, (e.g. zero hunger). The paper shows that issues affecting citizens' daily lives (e.g. in People related goals) tend to have a higher level of agreement among volunteers, while economic issues and directives have greater discrepancies. The results provide an overview of the differences in public perception on the SDGs and their implementation. The misperceptions regarding the SDGs should be reduced to achieve a better implementation, improve public participation, and help policy-making processes.
19.
Persico, Simone
In: Humanities and Social Sciences Communications, vol. 11, 2024.
@article{Persico2024,
title = {Affective, defective, and infective narratives on social media about nuclear energy and atomic conflict during the 2022 Italian electoral campaign},
author = {Simone Persico},
url = {https://www.nature.com/articles/s41599-024-02676-4},
doi = {/10.1057/s41599-024-02676-4},
year = {2024},
date = {2024-02-09},
urldate = {2024-02-09},
journal = {Humanities and Social Sciences Communications},
volume = {11},
abstract = {In the digital age, poor public communication catalyzes the spread of disinformation within public opinion. Anyone can produce political content that can reach a global audience, and social media has become a vital tool for political leaders to convey messages to the electorate. The 2022 Italian election campaign has seen the term “nuclear” debated with two different declinations: on the one hand, regarding nuclear energy for civilian use, and on the other hand, regarding the fear of an escalation of the conflict in Ukraine and the use of atomic weapons. This research aims to analyze the social media debate by exploring multiplatform dynamics to qualitatively identify and analyze the connections between social media platforms that we have termed Bridges, a concept drawn from Transmedia Theory to describe the narrative relationship between platforms. The methodological approach will follow an explanatory sequential design that will rely on digital methods to identify connections between platforms (bridges) and then apply an exploratory qualitative approach to enrich the data and capture the nuances of the debate. As expected, we found polarized positions and fragmentation on both issues of civilian nuclear energy and the atomic conflict narrative. Primary evidence shows bridges spreading affective, defective, and infective content across platforms in a multifaceted social media ecosystem. Affective refers to rhetoric that appeals to people’s feelings. Defective means the discussion that brings attention to hyper-partisan news channels, fake news, and misinformation. Infective means bridges with below-the-radar platforms, niche channels, or pseudo-information channels. They use bridges with mainstream platforms to gain the potential to go viral. The paper highlights the importance of cross-platform and interdisciplinary approaches to addressing disinformation in a media ecosystem where social media plays an increasing role in a country’s democratic dynamics.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the digital age, poor public communication catalyzes the spread of disinformation within public opinion. Anyone can produce political content that can reach a global audience, and social media has become a vital tool for political leaders to convey messages to the electorate. The 2022 Italian election campaign has seen the term “nuclear” debated with two different declinations: on the one hand, regarding nuclear energy for civilian use, and on the other hand, regarding the fear of an escalation of the conflict in Ukraine and the use of atomic weapons. This research aims to analyze the social media debate by exploring multiplatform dynamics to qualitatively identify and analyze the connections between social media platforms that we have termed Bridges, a concept drawn from Transmedia Theory to describe the narrative relationship between platforms. The methodological approach will follow an explanatory sequential design that will rely on digital methods to identify connections between platforms (bridges) and then apply an exploratory qualitative approach to enrich the data and capture the nuances of the debate. As expected, we found polarized positions and fragmentation on both issues of civilian nuclear energy and the atomic conflict narrative. Primary evidence shows bridges spreading affective, defective, and infective content across platforms in a multifaceted social media ecosystem. Affective refers to rhetoric that appeals to people’s feelings. Defective means the discussion that brings attention to hyper-partisan news channels, fake news, and misinformation. Infective means bridges with below-the-radar platforms, niche channels, or pseudo-information channels. They use bridges with mainstream platforms to gain the potential to go viral. The paper highlights the importance of cross-platform and interdisciplinary approaches to addressing disinformation in a media ecosystem where social media plays an increasing role in a country’s democratic dynamics.
20.
Nyoni, Rejoice S.; Bruelle, Guillaume; Chikowo, Regis; Andrieu, Nadine
Targeting smallholder farmers for climate information services adoption in Africa: A systematic literature review Journal Article
In: Climate Services, 2024.
@article{Nyoni2024,
title = {Targeting smallholder farmers for climate information services adoption in Africa: A systematic literature review},
author = {Rejoice S. Nyoni and Guillaume Bruelle and Regis Chikowo and Nadine Andrieu},
url = {https://www.researchgate.net/profile/Rejoice-Nyoni/publication/378042161_Targeting_smallholder_farmers_for_climate_information_services_adoption_in_Africa_A_systematic_literature_review/links/65c4aad71e1ec12eff7bfac7/Targeting-smallholder-farmers-for-climate-information-services-adoption-in-Africa-A-systematic-literature-review.pdf},
doi = {/10.1016/j.cliser.2024.100450},
year = {2024},
date = {2024-02-07},
journal = {Climate Services},
abstract = {Seventy percent of smallholder farmers in Africa depend on rainfed farming systems, making them vulnerable to climate variability and extremes. Climate information services (CIS) adoption by smallholder farmers in Africa presents a promising solution for adaptation to climate variability. This paper unravels the complexities around climate services for smallholder farmers and explores opportunities to tailor CIS for the resources of smallholder farmers. We use a systematic literature review approach to assess how the human, social, physical/technical, natural and financial capitals may affect awareness, access and use of CIS by smallholder farmers. The study is based on 33 papers from Africa. Majority of the studies gave emphasis on education, information communication and technology literacy levels and advisory services as influencing CIS access, use and uptake. The results highlight that better resourced smallholder farmers have higher access and are more likely to adopt CIS. The human capital emerged as an important component of CIS adoption as it directly determines how the farmer makes decisions on the farm. The natural capital determines the specific preference for CIS when the financial and economic capitals enable farmers acting according to the information received. The social capital provides a basis for farmers to benefit from compounded resources. Thus, the livelihood resource capitals of the target farmers must be considered in CIS information production and dissemination to improve the chances of CIS adoption by vulnerable groups that is illiterate, women, elderly, farmers in agroecological zones prone to climate extremes and poorly resourced farmers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Seventy percent of smallholder farmers in Africa depend on rainfed farming systems, making them vulnerable to climate variability and extremes. Climate information services (CIS) adoption by smallholder farmers in Africa presents a promising solution for adaptation to climate variability. This paper unravels the complexities around climate services for smallholder farmers and explores opportunities to tailor CIS for the resources of smallholder farmers. We use a systematic literature review approach to assess how the human, social, physical/technical, natural and financial capitals may affect awareness, access and use of CIS by smallholder farmers. The study is based on 33 papers from Africa. Majority of the studies gave emphasis on education, information communication and technology literacy levels and advisory services as influencing CIS access, use and uptake. The results highlight that better resourced smallholder farmers have higher access and are more likely to adopt CIS. The human capital emerged as an important component of CIS adoption as it directly determines how the farmer makes decisions on the farm. The natural capital determines the specific preference for CIS when the financial and economic capitals enable farmers acting according to the information received. The social capital provides a basis for farmers to benefit from compounded resources. Thus, the livelihood resource capitals of the target farmers must be considered in CIS information production and dissemination to improve the chances of CIS adoption by vulnerable groups that is illiterate, women, elderly, farmers in agroecological zones prone to climate extremes and poorly resourced farmers.
21.
Ollivier, Guillaume; Gasselin, Pierre; Batifol, Véronique
The framings of the coexistence of agrifood models: a computational analysis of French media Journal Article
In: Agriculture and Human Values, 2024.
@article{Ollivier2024,
title = {The framings of the coexistence of agrifood models: a computational analysis of French media},
author = {Guillaume Ollivier and Pierre Gasselin and Véronique Batifol},
url = {https://link.springer.com/article/10.1007/s10460-023-10531-6
https://rdcu.be/dAuZ4
},
doi = {10.1007/s10460-023-10531-6},
year = {2024},
date = {2024-02-07},
urldate = {2024-02-07},
journal = {Agriculture and Human Values},
abstract = {The confrontations of stakeholder visions about agriculture and food production has become a focal point in the public sphere, coinciding with a diversification of agrifood models. This study analyzes the debates stemming from the coexistence of these models, particularly during the initial term of neoliberal-centrist Emmanuel Macron’s presidency in France.
Employing collective monitoring from 2017 to 2021, a corpus of 958 online news and blog articles was compiled. Using a computational analysis, we reveal the framings and controversies emerging from this media discourse. The macro-structuring of discourse on model coexistence revolves around scientific, economic and political framings. Coexistence is a complex of debates based on specific frames associated with specific arenas and actor configurations: growth of organic agriculture, transformations of agrifood systems, sciences of production and impacts, livestock and meat diet controversies, agroecological innovations, CAP reform criticism, discourse of peasant agriculture and State-Profession co-gestion. Employing global sentiment analysis and focusing on salient controversies, namely EGAlim law, pesticide regulations, and agribashing, we show the shift from conciliation to a hardening of debates. Finally, we discuss the causes and consequences of this trend. The political will to support the transition of agriculture remains influenced by the co-gestion system, an inherited configuration of decision-makers instrumental in the agricultural modernization. As a consequence, significant agricultural challenges, particularly highlighted in the scientific macro-frame, persist unresolved. This lock-in of the agrifood system is based on defensive strategies that challenge the democratic debate about food and agricultural practices.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The confrontations of stakeholder visions about agriculture and food production has become a focal point in the public sphere, coinciding with a diversification of agrifood models. This study analyzes the debates stemming from the coexistence of these models, particularly during the initial term of neoliberal-centrist Emmanuel Macron’s presidency in France.
Employing collective monitoring from 2017 to 2021, a corpus of 958 online news and blog articles was compiled. Using a computational analysis, we reveal the framings and controversies emerging from this media discourse. The macro-structuring of discourse on model coexistence revolves around scientific, economic and political framings. Coexistence is a complex of debates based on specific frames associated with specific arenas and actor configurations: growth of organic agriculture, transformations of agrifood systems, sciences of production and impacts, livestock and meat diet controversies, agroecological innovations, CAP reform criticism, discourse of peasant agriculture and State-Profession co-gestion. Employing global sentiment analysis and focusing on salient controversies, namely EGAlim law, pesticide regulations, and agribashing, we show the shift from conciliation to a hardening of debates. Finally, we discuss the causes and consequences of this trend. The political will to support the transition of agriculture remains influenced by the co-gestion system, an inherited configuration of decision-makers instrumental in the agricultural modernization. As a consequence, significant agricultural challenges, particularly highlighted in the scientific macro-frame, persist unresolved. This lock-in of the agrifood system is based on defensive strategies that challenge the democratic debate about food and agricultural practices.
Employing collective monitoring from 2017 to 2021, a corpus of 958 online news and blog articles was compiled. Using a computational analysis, we reveal the framings and controversies emerging from this media discourse. The macro-structuring of discourse on model coexistence revolves around scientific, economic and political framings. Coexistence is a complex of debates based on specific frames associated with specific arenas and actor configurations: growth of organic agriculture, transformations of agrifood systems, sciences of production and impacts, livestock and meat diet controversies, agroecological innovations, CAP reform criticism, discourse of peasant agriculture and State-Profession co-gestion. Employing global sentiment analysis and focusing on salient controversies, namely EGAlim law, pesticide regulations, and agribashing, we show the shift from conciliation to a hardening of debates. Finally, we discuss the causes and consequences of this trend. The political will to support the transition of agriculture remains influenced by the co-gestion system, an inherited configuration of decision-makers instrumental in the agricultural modernization. As a consequence, significant agricultural challenges, particularly highlighted in the scientific macro-frame, persist unresolved. This lock-in of the agrifood system is based on defensive strategies that challenge the democratic debate about food and agricultural practices.
22.
Xing, Yunfei; Zhang, Justin Zuopeng; Storey, Veda C.; Koohang, Alex
Diving into the divide: a systematic review of cognitive bias-based polarization on social media Journal Article
In: Journal of Enterprise Information Management, 2024, ISSN: 1741-0398.
@article{Xing2024,
title = {Diving into the divide: a systematic review of cognitive bias-based polarization on social media},
author = {Yunfei Xing and Justin Zuopeng Zhang and Veda C. Storey and Alex Koohang},
url = {https://www.emerald.com/insight/content/doi/10.1108/JEIM-09-2023-0459/full/html},
doi = {/10.1108/JEIM-09-2023-0459},
issn = {1741-0398},
year = {2024},
date = {2024-01-24},
journal = {Journal of Enterprise Information Management},
abstract = {Purpose
The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.
Design/methodology/approach
To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.
Findings
The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.
Originality/value
Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose
The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.
Design/methodology/approach
To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.
Findings
The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.
Originality/value
Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.
The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.
Design/methodology/approach
To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.
Findings
The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.
Originality/value
Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.
Bachelor Theses
23.
dela Isla Aduna, Dayne Andrei; Cabero, Paulina Mikaela Valderama; Cristobal, Earl Dominic Palad; Go, Riley Jerard Dy; Luakian, Francine Clarisse C.
A bibliometric review on plant allantoin and nitrogen metabolism Bachelor Thesis
De La Salle University, College of Science, Manila, 2024.
@bachelorthesis{delaAduna2024,
title = {A bibliometric review on plant allantoin and nitrogen metabolism},
author = {Dayne Andrei dela Isla Aduna and Paulina Mikaela Valderama Cabero and Earl Dominic Palad Cristobal and Riley Jerard Dy Go and Francine Clarisse C. Luakian},
url = {https://animorepository.dlsu.edu.ph/etdb_bio/76/},
year = {2024},
date = {2024-08-31},
address = {Manila},
school = {De La Salle University, College of Science},
abstract = {This bibliometric review thoroughly examines studies conducted on allantoin in plants, with a primary focus on its influence on nitrogen metabolism. An in-depth comprehension of the role of allantoin in nitrogen metabolism in plants can offer clear insights into the existing knowledge within the scientific community regarding this topic. The bibliographic data from Scopus was analyzed and formatted by CorText Manager, which facilitated the identification of gaps and limitations within the existing scope of the field. In addition, the researchers systematically arranged and depicted patterns and connections, thereby obtaining more distinct perspectives on various subjects and relationships. The study of allantoin and nitrogen metabolism in plants is a comprehensive topic that involves the interconnection of various ideas and niches. This analysis enables researchers globally to navigate a path toward groundbreaking findings by enhancing the current body of literature and emphasizing significant gaps in knowledge.},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
This bibliometric review thoroughly examines studies conducted on allantoin in plants, with a primary focus on its influence on nitrogen metabolism. An in-depth comprehension of the role of allantoin in nitrogen metabolism in plants can offer clear insights into the existing knowledge within the scientific community regarding this topic. The bibliographic data from Scopus was analyzed and formatted by CorText Manager, which facilitated the identification of gaps and limitations within the existing scope of the field. In addition, the researchers systematically arranged and depicted patterns and connections, thereby obtaining more distinct perspectives on various subjects and relationships. The study of allantoin and nitrogen metabolism in plants is a comprehensive topic that involves the interconnection of various ideas and niches. This analysis enables researchers globally to navigate a path toward groundbreaking findings by enhancing the current body of literature and emphasizing significant gaps in knowledge.
24.
Alimad, Julienne E.; Lacsamana, Rochelle Anne A.; Hachaso, Elijah Gniya P.; Moldes, Louise Tara Danielle H.; Montecillo, Julianne Marie L.
The roles of allantoin in the stress responses of animals: A bibliometric review Bachelor Thesis
De La Salle University, Manila, 2024, (Bachelor of Science in Biology major in Medical Biology).
@bachelorthesis{Alimad2024,
title = {The roles of allantoin in the stress responses of animals: A bibliometric review},
author = {Julienne E. Alimad and Rochelle Anne A. Lacsamana and Elijah Gniya P. Hachaso and Louise Tara Danielle H. Moldes and Julianne Marie L. Montecillo},
url = {https://animorepository.dlsu.edu.ph/etdb_bio/83},
year = {2024},
date = {2024-07-08},
address = {Manila},
school = {De La Salle University},
abstract = {Animals play a crucial role in maintaining biodiversity and ecosystem balance but face various stresses that require complex adaptations for survival. One adaptation involves the release of allantoin, a product of purine catabolism, which plays a significant role in mitigating stress. Despite the growing body of research on allantoin and its roles in animals under stress conditions, its biochemical properties remain relatively unexplored. With this, this paper aims to bridge existing gaps in knowledge in this field of research, assess research trends, and further investigate the role of allantoin in animals under stress conditions. This was done through a bibliometric analysis of relevant literature from 2013 to 2023 that were sourced from the Scopus database and analyzed using the CorText Manager. Several other tools were used in analyzing the relevant literature including term extraction, term-based and country-based network mapping, contingency matrix analysis, Sankey diagram visualization, and epic epoch analysis within the CorText Manager. It was found that the commonly used animal models in allantoin studies include Sprague Dawley and Wistar rats, with amino acids and enzymes playing crucial roles in the metabolic pathways leading to allantoin production. When it comes to identifying metabolites, on the other hand, techniques such as liquid chromatography and mass spectrometry are frequently employed. Notably, the analysis of terminology trends revealed the consistent use of terms like oxidative stress and uric acid in relevant literature. Ultimately, the relationships between commonly used terms in research have revealed consistent trends over time, offering valuable insights for future studies.},
note = {Bachelor of Science in Biology major in Medical Biology},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Animals play a crucial role in maintaining biodiversity and ecosystem balance but face various stresses that require complex adaptations for survival. One adaptation involves the release of allantoin, a product of purine catabolism, which plays a significant role in mitigating stress. Despite the growing body of research on allantoin and its roles in animals under stress conditions, its biochemical properties remain relatively unexplored. With this, this paper aims to bridge existing gaps in knowledge in this field of research, assess research trends, and further investigate the role of allantoin in animals under stress conditions. This was done through a bibliometric analysis of relevant literature from 2013 to 2023 that were sourced from the Scopus database and analyzed using the CorText Manager. Several other tools were used in analyzing the relevant literature including term extraction, term-based and country-based network mapping, contingency matrix analysis, Sankey diagram visualization, and epic epoch analysis within the CorText Manager. It was found that the commonly used animal models in allantoin studies include Sprague Dawley and Wistar rats, with amino acids and enzymes playing crucial roles in the metabolic pathways leading to allantoin production. When it comes to identifying metabolites, on the other hand, techniques such as liquid chromatography and mass spectrometry are frequently employed. Notably, the analysis of terminology trends revealed the consistent use of terms like oxidative stress and uric acid in relevant literature. Ultimately, the relationships between commonly used terms in research have revealed consistent trends over time, offering valuable insights for future studies.
Conferences
25.
Bottero, Marta; Dell’Anna, Federico; Monaci, Sara; Persico, Simone
Geo-NLP Insights: Unveiling Residential Real Estate Trends Through Textual Analysis Conference
International Conference on Computational Science and Its Applications, ICCSA 2024 2024.
@conference{Bottero2024,
title = {Geo-NLP Insights: Unveiling Residential Real Estate Trends Through Textual Analysis},
author = {Marta Bottero and Federico Dell’Anna and Sara Monaci and Simone Persico},
url = {https://link.springer.com/chapter/10.1007/978-3-031-65308-7_12},
year = {2024},
date = {2024-08-22},
booktitle = {International Conference on Computational Science and Its Applications},
pages = {163-175},
organization = {ICCSA 2024},
abstract = {The physical and design aspects of buildings, the availability of urban infrastructures and services, and the presence of landscape amenities significantly influence consumer preferences for residential living spaces. Capturing these preferences can provide insights on spatial changes in consumer behavior. To address this challenge, this paper introduces a novel methodological framework that combines Natural Language Processing (NLP) with geospatial data analysis, focusing particularly on insights derived from real estate listings. This innovative approach enables an in-depth examination of urban market dynamics by allowing for a comprehensive analysis that includes temporal shifts and spatial differences. By employing advanced analytical techniques, such as lexical analysis of listings and geospatial exploration, the framework is designed to decode complex market narratives and uncover detailed consumer preferences.
The methodological framework of this paper aims to construct a comprehensive model by integrating textual, spatial, and temporal data from listings, thereby offering a complete perspective of the urban real estate market. The integration of these diverse data sources from real estate listings provides critical insights into consumer preferences and market trends, equipping stakeholders with essential information to make informed decisions. Ultimately, this approach not only broadens the understanding of the real estate market but also aids stakeholders in crafting strategic initiatives that align with the sector’s evolving demands. This method facilitates informed decision-making and strategic planning in the real estate domain by leveraging the rich data found in property listings.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The physical and design aspects of buildings, the availability of urban infrastructures and services, and the presence of landscape amenities significantly influence consumer preferences for residential living spaces. Capturing these preferences can provide insights on spatial changes in consumer behavior. To address this challenge, this paper introduces a novel methodological framework that combines Natural Language Processing (NLP) with geospatial data analysis, focusing particularly on insights derived from real estate listings. This innovative approach enables an in-depth examination of urban market dynamics by allowing for a comprehensive analysis that includes temporal shifts and spatial differences. By employing advanced analytical techniques, such as lexical analysis of listings and geospatial exploration, the framework is designed to decode complex market narratives and uncover detailed consumer preferences.
The methodological framework of this paper aims to construct a comprehensive model by integrating textual, spatial, and temporal data from listings, thereby offering a complete perspective of the urban real estate market. The integration of these diverse data sources from real estate listings provides critical insights into consumer preferences and market trends, equipping stakeholders with essential information to make informed decisions. Ultimately, this approach not only broadens the understanding of the real estate market but also aids stakeholders in crafting strategic initiatives that align with the sector’s evolving demands. This method facilitates informed decision-making and strategic planning in the real estate domain by leveraging the rich data found in property listings.
The methodological framework of this paper aims to construct a comprehensive model by integrating textual, spatial, and temporal data from listings, thereby offering a complete perspective of the urban real estate market. The integration of these diverse data sources from real estate listings provides critical insights into consumer preferences and market trends, equipping stakeholders with essential information to make informed decisions. Ultimately, this approach not only broadens the understanding of the real estate market but also aids stakeholders in crafting strategic initiatives that align with the sector’s evolving demands. This method facilitates informed decision-making and strategic planning in the real estate domain by leveraging the rich data found in property listings.
26.
Viademonte, Emiliano Ariel Martínez; Carrillo, Mercedes García; Blaustein, Matías
Argentina: un meta-análisis de la agenda de investigaciones en cáncer y salud socioambiental Conference
Congreso de la Fundación Salud, Ciencia y Tecnología 2024 2024.
@conference{Viademonte2024,
title = {Argentina: un meta-análisis de la agenda de investigaciones en cáncer y salud socioambiental},
author = {Emiliano Ariel Martínez Viademonte and Mercedes García Carrillo and Matías Blaustein},
url = {https://proceedings.saludcyt.ar/index.php/piii/article/view/296
https://proceedings.saludcyt.ar/index.php/piii/article/view/296/233},
doi = {/10.56294/piii202390},
year = {2024},
date = {2024-05-08},
urldate = {2024-05-08},
organization = {Congreso de la Fundación Salud, Ciencia y Tecnología 2024},
abstract = {Introduction:
The economic agenda and corporate interests can influence and/or drive the public biomedical research agenda, establishing priorities in the study topics. In this work, we analyzed the contents of the cancer research agenda in Argentina, including a comprehensive analysis of the different epistemological dimensions associated with the study of this set of pathologies.
Methods:
A bibliometric analysis was conducted based on 7319 scientific articles published between 1980 and 2023, divided into two periods (1980-2000 and 2001-2023), containing one or more authors with Argentina as their affiliation country. The PubMed database and the CorText platform were used to work with the database and to extract the most frequent multi-terms. Through this extraction, the main categories linked to cancer research, their preponderance in the local research agenda, and the place occupied by approaches linked to the molecular, social, and environmental determinants of cancer could be visualized. The content of this cancer research agenda was represented through co-occurrence networks of the predominant multi-terms found in the articles' titles, keywords, and abstracts.
Results:
The results reflected a strong predominance of methodological approaches associated with molecular and cellular biology. In addition, terms associated with breast cancer had a strong predominance in recent years. The analysis also revealed that the study of socio-environmental factors influencing the development and progression of diseases such as occupational, environmental, and exposure to xenobiotics remained marginal in the cancer research agenda of Argentina during the last four decades.
Conclusions:
It is concluded that the orientation of the Argentine cancer research agenda excludes, with few exceptions, the prevention and study of socio-environmental factors associated with the development and progression of cancer, favoring a reductionist methodological approach anchored in Molecular and Cellular Biology and linked to the development of therapeutic and pharmacological interventions},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Introduction:
The economic agenda and corporate interests can influence and/or drive the public biomedical research agenda, establishing priorities in the study topics. In this work, we analyzed the contents of the cancer research agenda in Argentina, including a comprehensive analysis of the different epistemological dimensions associated with the study of this set of pathologies.
Methods:
A bibliometric analysis was conducted based on 7319 scientific articles published between 1980 and 2023, divided into two periods (1980-2000 and 2001-2023), containing one or more authors with Argentina as their affiliation country. The PubMed database and the CorText platform were used to work with the database and to extract the most frequent multi-terms. Through this extraction, the main categories linked to cancer research, their preponderance in the local research agenda, and the place occupied by approaches linked to the molecular, social, and environmental determinants of cancer could be visualized. The content of this cancer research agenda was represented through co-occurrence networks of the predominant multi-terms found in the articles' titles, keywords, and abstracts.
Results:
The results reflected a strong predominance of methodological approaches associated with molecular and cellular biology. In addition, terms associated with breast cancer had a strong predominance in recent years. The analysis also revealed that the study of socio-environmental factors influencing the development and progression of diseases such as occupational, environmental, and exposure to xenobiotics remained marginal in the cancer research agenda of Argentina during the last four decades.
Conclusions:
It is concluded that the orientation of the Argentine cancer research agenda excludes, with few exceptions, the prevention and study of socio-environmental factors associated with the development and progression of cancer, favoring a reductionist methodological approach anchored in Molecular and Cellular Biology and linked to the development of therapeutic and pharmacological interventions
The economic agenda and corporate interests can influence and/or drive the public biomedical research agenda, establishing priorities in the study topics. In this work, we analyzed the contents of the cancer research agenda in Argentina, including a comprehensive analysis of the different epistemological dimensions associated with the study of this set of pathologies.
Methods:
A bibliometric analysis was conducted based on 7319 scientific articles published between 1980 and 2023, divided into two periods (1980-2000 and 2001-2023), containing one or more authors with Argentina as their affiliation country. The PubMed database and the CorText platform were used to work with the database and to extract the most frequent multi-terms. Through this extraction, the main categories linked to cancer research, their preponderance in the local research agenda, and the place occupied by approaches linked to the molecular, social, and environmental determinants of cancer could be visualized. The content of this cancer research agenda was represented through co-occurrence networks of the predominant multi-terms found in the articles' titles, keywords, and abstracts.
Results:
The results reflected a strong predominance of methodological approaches associated with molecular and cellular biology. In addition, terms associated with breast cancer had a strong predominance in recent years. The analysis also revealed that the study of socio-environmental factors influencing the development and progression of diseases such as occupational, environmental, and exposure to xenobiotics remained marginal in the cancer research agenda of Argentina during the last four decades.
Conclusions:
It is concluded that the orientation of the Argentine cancer research agenda excludes, with few exceptions, the prevention and study of socio-environmental factors associated with the development and progression of cancer, favoring a reductionist methodological approach anchored in Molecular and Cellular Biology and linked to the development of therapeutic and pharmacological interventions
Book Chapters
27.
D, Martina Zuñiga; Aranda, Francisca L.; Hernandez-Tenorio, Fabian; Garrido, Karla A.; Meléndrez, Manuel F.; Combatt, Enrique M.; Palencia, Manuel; Palacio, Daniel A.
Advances and Applications of Polyelectrolytes Book Chapter
In: Chile, 2024.
@inbook{D2024,
title = {Advances and Applications of Polyelectrolytes},
author = {Martina Zuñiga D and Francisca L. Aranda and Fabian Hernandez-Tenorio and Karla A. Garrido and Manuel F. Meléndrez and Enrique M. Combatt and Manuel Palencia and Daniel A. Palacio},
url = {https://videleaf.com/wp-content/uploads/2024/08/Advances-and-Applications-of-Polyelectrolytes.pdf},
doi = {/10.3390/polym16101434},
year = {2024},
date = {2024-08-20},
address = {Chile},
school = {Facultad de Ciencias Químicas, Universidad de Concepción},
abstract = {In recent decades, polyelectrolytes (PELs) have attracted significant interest owing to a surge in research dedicated to the development of new technologies and applications at the biological level. Polyelectrolytes are macromolecules of which a substantial portion of the constituent units contains ionizable or ionic groups. These macromolecules demonstrate varied behaviors across different pH ranges, ionic strengths, and concentrations, making them fascinating subjects within the scientific community. The aim of this review is to present a comprehensive survey of the progress in the application studies of polyelectrolytes and their derivatives in various fields that are vital for the advancement, conservation, and technological progress of the planet, including agriculture, environmental science, and medicine. Through this bibliographic review, we seek to highlight the significance of these materials and their extensive range of applications in modern times.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
In recent decades, polyelectrolytes (PELs) have attracted significant interest owing to a surge in research dedicated to the development of new technologies and applications at the biological level. Polyelectrolytes are macromolecules of which a substantial portion of the constituent units contains ionizable or ionic groups. These macromolecules demonstrate varied behaviors across different pH ranges, ionic strengths, and concentrations, making them fascinating subjects within the scientific community. The aim of this review is to present a comprehensive survey of the progress in the application studies of polyelectrolytes and their derivatives in various fields that are vital for the advancement, conservation, and technological progress of the planet, including agriculture, environmental science, and medicine. Through this bibliographic review, we seek to highlight the significance of these materials and their extensive range of applications in modern times.
28.
Khan, Muhammad Asif; Farid, Humaira; Ali, Imtiaz
Bibliometric Analysis of Dubious Research Book Chapter
In: Bibliometrics - An Essential Methodological Tool for Research Projects [Working Title], 2024.
@inbook{Khan2024,
title = {Bibliometric Analysis of Dubious Research},
author = {Muhammad Asif Khan and Humaira Farid and Imtiaz Ali},
url = {https://www.intechopen.com/online-first/1180524},
doi = {/10.5772/intechopen.1005274},
year = {2024},
date = {2024-06-12},
booktitle = {Bibliometrics - An Essential Methodological Tool for Research Projects [Working Title]},
abstract = {Retracted papers are scientific or scholarly works officially withdrawn by the publisher or journal after their initial publication. The primary goal of retractions is to rectify the literature and alert readers about articles containing substantially flawed or erroneous content or data, or due to ethical concerns, rendering reported findings and conclusions unreliable. Retraction notices are typically issued for various reasons, including scientific misconduct, genuine mistakes, or problems with peer review. This chapter provides a systematic analysis of the dubious research identified in the Web of Science Core Collection. Bibliometric analysis was conducted on dubious research to assess the magnitude and influence of the questionable work on the pool of knowledge. The contingency matrix between countries and Web of Science categories of retracted papers reveals correlations between certain domains and the countries. To counter this growing tendency, a multi-pronged approach is essential. Robust policies, vigilant watchdogs, and targeted interventions by institutions are necessary to uphold the integrity of scholarly literature. Academia cannot afford to remain silent in the face of this threat to its credibility.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Retracted papers are scientific or scholarly works officially withdrawn by the publisher or journal after their initial publication. The primary goal of retractions is to rectify the literature and alert readers about articles containing substantially flawed or erroneous content or data, or due to ethical concerns, rendering reported findings and conclusions unreliable. Retraction notices are typically issued for various reasons, including scientific misconduct, genuine mistakes, or problems with peer review. This chapter provides a systematic analysis of the dubious research identified in the Web of Science Core Collection. Bibliometric analysis was conducted on dubious research to assess the magnitude and influence of the questionable work on the pool of knowledge. The contingency matrix between countries and Web of Science categories of retracted papers reveals correlations between certain domains and the countries. To counter this growing tendency, a multi-pronged approach is essential. Robust policies, vigilant watchdogs, and targeted interventions by institutions are necessary to uphold the integrity of scholarly literature. Academia cannot afford to remain silent in the face of this threat to its credibility.
29.
TRISTAN, LIM MING SOON; Swapna, GOTTIPATI; CHEONG, Michelle L. F.
Educational technologies and assessment practices: Evolution and emerging research gaps Book Chapter
In: Reshaping learning with next generation educational technologies, pp. 136-172, 2024.
@inbook{TRISTAN2024,
title = { Educational technologies and assessment practices: Evolution and emerging research gaps},
author = {LIM MING SOON TRISTAN and GOTTIPATI Swapna and Michelle L. F. CHEONG},
url = {https://ink.library.smu.edu.sg/sis_research/9241
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=10241&context=sis_research},
doi = {/10.4018/979-8-3693-1310-7},
year = {2024},
date = {2024-01-01},
booktitle = {Reshaping learning with next generation educational technologies},
pages = {136-172},
abstract = {This chapter examines the integration and trajectory of ubiquitous, adaptive, and immersive technologies in educational assessments, based upon qualitative predictions from Horizon Report and quantitative bibliometric analysis. Through network analysis, the authors identified key educational technological trends and their interconnectedness within the academic domain. These findings underscored the ascendance of adaptive assessments for personalized real-time feedback, the role of virtual immersive assessments adding layers of complexity, variability, and adaptability that a physical environment might not offer, and the pervasive reach of ubiquitous assessments in crafting contextually anchored evaluations. Grounded in pedagogical underpinnings, the chapter presents pressing research gaps, theoretical and practical insights, positioning itself as a useful reference for researchers and practitioners in enhancing educational technology-infused assessment strategies.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
This chapter examines the integration and trajectory of ubiquitous, adaptive, and immersive technologies in educational assessments, based upon qualitative predictions from Horizon Report and quantitative bibliometric analysis. Through network analysis, the authors identified key educational technological trends and their interconnectedness within the academic domain. These findings underscored the ascendance of adaptive assessments for personalized real-time feedback, the role of virtual immersive assessments adding layers of complexity, variability, and adaptability that a physical environment might not offer, and the pervasive reach of ubiquitous assessments in crafting contextually anchored evaluations. Grounded in pedagogical underpinnings, the chapter presents pressing research gaps, theoretical and practical insights, positioning itself as a useful reference for researchers and practitioners in enhancing educational technology-infused assessment strategies.
Miscellaneous
30.
Rizzo, Davide; Bailly, Jean-Stéphane; Vinatier, Fabrice
2024, (Conference poster, hal-04834593).
@misc{Rizzo2024,
title = {Rainwater harvesting techniques deciphered: unravelling the current use and limitations of the ditches term with a textual analysis of scientific literature},
author = {Davide Rizzo and Jean-Stéphane Bailly and Fabrice Vinatier},
url = {https://zenodo.org/records/14510113
https://hal.inrae.fr/hal-04834593
https://agris.fao.org/search/en/providers/122439/records/6798d8c1d6a63682f0459530},
doi = {/10.5281/zenodo.14510113},
year = {2024},
date = {2024-12-13},
abstract = {The sustainable management of linear NBS for face aridity in agroecosystems, including ditches, trenches, channels, and waterways, requires a clear understanding of their specific functions and services. Among the different terms, "ditches" provide a straightforward description of human-made elongated ground depressions used for reducing soil erosion or for water re-infiltration, drainage, or irrigation. However, this term's specificity might fail to convey the historical significance of the related structures, their management diversity, or environmental impacts. For this reason, researchers use different terms, together with ditches or even as synonyms, generating confusion. How to decipher the multiple uses of this term? The increasing availability of curated databases of scientific literature and the advances in information science now offer opportunities to handle the growing body of academic output and the inconsistencies in vocabulary. In particular, textual analysis through data mining approaches can help explore the use of terms and their interrelationships within the scientific community without predefined notions. This study aims to provide an overview of the topics associated with "ditch," trace its evolving usage over recent decades, and identify potential gaps and synonyms. To this end, we performed a textual analysis of literature from the Web of Science database from 1955 to July 2023, including all documents mentioning "ditch*" in titles, abstracts, and author keywords. Data were processed using the CorTexT Manager open platform, employing natural language processing scripts. Findings reveal that drainage ditches were referenced more than irrigation ditches, with a recent spike in studies linking ditches to paddy fields. In the last decade, research interest has been highest in China, steady but lower in Europe, and consistently low in the US. While interest in land use related to ditches has declined, the focus on ecosystem services and climate change, particularly greenhouse gas emissions from ditches, has increased. In conclusion, the use of the term ditch evolved from technical applications to studying related services yet separately examining different agricultural landscapes. A system approach to ditches would help encompass their different functions and services.},
note = {Conference poster, hal-04834593},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
The sustainable management of linear NBS for face aridity in agroecosystems, including ditches, trenches, channels, and waterways, requires a clear understanding of their specific functions and services. Among the different terms, "ditches" provide a straightforward description of human-made elongated ground depressions used for reducing soil erosion or for water re-infiltration, drainage, or irrigation. However, this term's specificity might fail to convey the historical significance of the related structures, their management diversity, or environmental impacts. For this reason, researchers use different terms, together with ditches or even as synonyms, generating confusion. How to decipher the multiple uses of this term? The increasing availability of curated databases of scientific literature and the advances in information science now offer opportunities to handle the growing body of academic output and the inconsistencies in vocabulary. In particular, textual analysis through data mining approaches can help explore the use of terms and their interrelationships within the scientific community without predefined notions. This study aims to provide an overview of the topics associated with "ditch," trace its evolving usage over recent decades, and identify potential gaps and synonyms. To this end, we performed a textual analysis of literature from the Web of Science database from 1955 to July 2023, including all documents mentioning "ditch*" in titles, abstracts, and author keywords. Data were processed using the CorTexT Manager open platform, employing natural language processing scripts. Findings reveal that drainage ditches were referenced more than irrigation ditches, with a recent spike in studies linking ditches to paddy fields. In the last decade, research interest has been highest in China, steady but lower in Europe, and consistently low in the US. While interest in land use related to ditches has declined, the focus on ecosystem services and climate change, particularly greenhouse gas emissions from ditches, has increased. In conclusion, the use of the term ditch evolved from technical applications to studying related services yet separately examining different agricultural landscapes. A system approach to ditches would help encompass their different functions and services.
PhD Theses
31.
LIM, Ming Soon Tristan
Ethical imperatives in AI-driven educational assessment: Framework and implications PhD Thesis
Singapore Management University, 2024.
@phdthesis{LIM2024,
title = {Ethical imperatives in AI-driven educational assessment: Framework and implications},
author = {Ming Soon Tristan LIM},
url = {https://ink.library.smu.edu.sg/etd_coll/556
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1554&context=etd_coll},
year = {2024},
date = {2024-05-04},
school = {Singapore Management University},
abstract = {This dissertation embarks on an extensive exploration of the ethical challenges emerging from the integration of AI in educational assessments. It uncovers the complex interplay between AI and the ethical imperatives these technologies pose within educational assessments.
Amidst the rapid development of AI-enabled educational technologies, such as Ubiquitous, Adaptive, and Immersive technologies, this research identifies a notable gap in literature specifically concerning the ethical imperatives and implications of AI in educational assessments. Addressing this gap, the dissertation has three primary objectives: to comprehend and analyze the underpinning educational technologies driving assessments, to elucidate the intricate relationship between AI, ethics, and educational assessments, and to develop a comprehensive theoretical framework addressing the ethical challenges inherent in AI implementations in assessments.
The dissertation contributes to the research field by offering a nuanced examination of AI’s role in educational assessments and its ethical ramifications. It introduces a robust framework to guide educators, policymakers, and researchers through the ethical complexities of AI implementation. This study not only bridges the literature gap but also provides actionable insights for the practical application of AI in educational settings, emphasizing the need for ethical consideration at every stage of the assessment pipeline.
The dissertation highlights the dynamic trajectories of educational technologies, stressing the rising importance of adaptive technologies and the transformative role of immersive and ubiquitous technologies in assessments. It underscores the necessity of ethical vigilance in AI applications and validates a generalizable framework for ethically grounded AI-enabled assessments.
The dissertation opens pathways for future exploration, suggesting the need for interdisciplinary methodologies, longitudinal studies, deeper analysis of learners' AI understanding, and practical applications of the study’s insights. It calls for a collaborative, informed approach among various stakeholders in education to responsibly harness AI's potential, ensuring its integration not only advances educational practices but does so with ethical integrity and pedagogical effectiveness.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
This dissertation embarks on an extensive exploration of the ethical challenges emerging from the integration of AI in educational assessments. It uncovers the complex interplay between AI and the ethical imperatives these technologies pose within educational assessments.
Amidst the rapid development of AI-enabled educational technologies, such as Ubiquitous, Adaptive, and Immersive technologies, this research identifies a notable gap in literature specifically concerning the ethical imperatives and implications of AI in educational assessments. Addressing this gap, the dissertation has three primary objectives: to comprehend and analyze the underpinning educational technologies driving assessments, to elucidate the intricate relationship between AI, ethics, and educational assessments, and to develop a comprehensive theoretical framework addressing the ethical challenges inherent in AI implementations in assessments.
The dissertation contributes to the research field by offering a nuanced examination of AI’s role in educational assessments and its ethical ramifications. It introduces a robust framework to guide educators, policymakers, and researchers through the ethical complexities of AI implementation. This study not only bridges the literature gap but also provides actionable insights for the practical application of AI in educational settings, emphasizing the need for ethical consideration at every stage of the assessment pipeline.
The dissertation highlights the dynamic trajectories of educational technologies, stressing the rising importance of adaptive technologies and the transformative role of immersive and ubiquitous technologies in assessments. It underscores the necessity of ethical vigilance in AI applications and validates a generalizable framework for ethically grounded AI-enabled assessments.
The dissertation opens pathways for future exploration, suggesting the need for interdisciplinary methodologies, longitudinal studies, deeper analysis of learners' AI understanding, and practical applications of the study’s insights. It calls for a collaborative, informed approach among various stakeholders in education to responsibly harness AI's potential, ensuring its integration not only advances educational practices but does so with ethical integrity and pedagogical effectiveness.
Amidst the rapid development of AI-enabled educational technologies, such as Ubiquitous, Adaptive, and Immersive technologies, this research identifies a notable gap in literature specifically concerning the ethical imperatives and implications of AI in educational assessments. Addressing this gap, the dissertation has three primary objectives: to comprehend and analyze the underpinning educational technologies driving assessments, to elucidate the intricate relationship between AI, ethics, and educational assessments, and to develop a comprehensive theoretical framework addressing the ethical challenges inherent in AI implementations in assessments.
The dissertation contributes to the research field by offering a nuanced examination of AI’s role in educational assessments and its ethical ramifications. It introduces a robust framework to guide educators, policymakers, and researchers through the ethical complexities of AI implementation. This study not only bridges the literature gap but also provides actionable insights for the practical application of AI in educational settings, emphasizing the need for ethical consideration at every stage of the assessment pipeline.
The dissertation highlights the dynamic trajectories of educational technologies, stressing the rising importance of adaptive technologies and the transformative role of immersive and ubiquitous technologies in assessments. It underscores the necessity of ethical vigilance in AI applications and validates a generalizable framework for ethically grounded AI-enabled assessments.
The dissertation opens pathways for future exploration, suggesting the need for interdisciplinary methodologies, longitudinal studies, deeper analysis of learners' AI understanding, and practical applications of the study’s insights. It calls for a collaborative, informed approach among various stakeholders in education to responsibly harness AI's potential, ensuring its integration not only advances educational practices but does so with ethical integrity and pedagogical effectiveness.
Proceedings
32.
Gornet, Mélanie; Delarue, Simon; Boritchev, Maria; Viard, Tiphaine
Mapping AI ethics: a meso-scale analysis of its charters and manifestos Proceedings
2024 ACM Conference on Fairness, Accountability, and Transparency 2024, (FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency).
@proceedings{Gornet2024,
title = {Mapping AI ethics: a meso-scale analysis of its charters and manifestos},
author = {Mélanie Gornet and Simon Delarue and Maria Boritchev and Tiphaine Viard},
url = {https://dl.acm.org/doi/10.1145/3630106.3658545
https://dl.acm.org/doi/pdf/10.1145/3630106.3658545},
doi = {/10.1145/3630106.3658545},
year = {2024},
date = {2024-06-05},
pages = {127-140},
organization = {2024 ACM Conference on Fairness, Accountability, and Transparency},
abstract = {The recent years have seen a surge of initiatives with the goal of defining what “ethical” artificial intelligence would or should entail, resulting in the publication of various charters and manifestos discussing AI ethics; these documents originate from academia, AI industry companies, non-profits, regulatory institutions, and the civil society. The contents of such documents vary wildly, from short, vague position statements to verbatims of democratic debates or impact assessment studies. As such, they are a marker of the social world of artificial intelligence, outlining the tenets of different actors, the consensus and dissensus on important goals, and so on.
Multiple meta-analyses have focused on qualitatively identifying recurring themes in these documents, highlighting the high polysemy of themes such as transparency or trust, among others. The broad term of “AI ethics” and its guiding principles hide multiple disparities, shaped by our collective imaginations, economic and regulatory incentives, and the pre-existing social and structural power asymmetries; through quantitative analyses, we validate and infirm previous qualitative results.
In this paper, we create and present a corpus of charters and manifestos discussing AI ethics through the process of collection and its quantitative analysis using text analysis to shed light on common and distinct vocabularies. Through frequency analysis, hierarchical topic clustering and semantic graph modelling, we show that the charters and manifestos discuss AI ethics along three broad axes: technical documents, regulatory ones, and innovation and business ones. We use our quantitative analysis to back up and nuance previous qualitative results, showing how some themes remain specific while others have fully permeated the space of AI ethics. We document and release our corpus, comprising of 436 documents, charters and manifestos discussing AI ethics. We release the corpus, its datasheet and our analysis, to open the way to further studies and discussions around vocabulary, principles and their evolution, as well as interactions among actors of AI ethics, in order to foster further studies on the topic.},
note = {FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
The recent years have seen a surge of initiatives with the goal of defining what “ethical” artificial intelligence would or should entail, resulting in the publication of various charters and manifestos discussing AI ethics; these documents originate from academia, AI industry companies, non-profits, regulatory institutions, and the civil society. The contents of such documents vary wildly, from short, vague position statements to verbatims of democratic debates or impact assessment studies. As such, they are a marker of the social world of artificial intelligence, outlining the tenets of different actors, the consensus and dissensus on important goals, and so on.
Multiple meta-analyses have focused on qualitatively identifying recurring themes in these documents, highlighting the high polysemy of themes such as transparency or trust, among others. The broad term of “AI ethics” and its guiding principles hide multiple disparities, shaped by our collective imaginations, economic and regulatory incentives, and the pre-existing social and structural power asymmetries; through quantitative analyses, we validate and infirm previous qualitative results.
In this paper, we create and present a corpus of charters and manifestos discussing AI ethics through the process of collection and its quantitative analysis using text analysis to shed light on common and distinct vocabularies. Through frequency analysis, hierarchical topic clustering and semantic graph modelling, we show that the charters and manifestos discuss AI ethics along three broad axes: technical documents, regulatory ones, and innovation and business ones. We use our quantitative analysis to back up and nuance previous qualitative results, showing how some themes remain specific while others have fully permeated the space of AI ethics. We document and release our corpus, comprising of 436 documents, charters and manifestos discussing AI ethics. We release the corpus, its datasheet and our analysis, to open the way to further studies and discussions around vocabulary, principles and their evolution, as well as interactions among actors of AI ethics, in order to foster further studies on the topic.
Multiple meta-analyses have focused on qualitatively identifying recurring themes in these documents, highlighting the high polysemy of themes such as transparency or trust, among others. The broad term of “AI ethics” and its guiding principles hide multiple disparities, shaped by our collective imaginations, economic and regulatory incentives, and the pre-existing social and structural power asymmetries; through quantitative analyses, we validate and infirm previous qualitative results.
In this paper, we create and present a corpus of charters and manifestos discussing AI ethics through the process of collection and its quantitative analysis using text analysis to shed light on common and distinct vocabularies. Through frequency analysis, hierarchical topic clustering and semantic graph modelling, we show that the charters and manifestos discuss AI ethics along three broad axes: technical documents, regulatory ones, and innovation and business ones. We use our quantitative analysis to back up and nuance previous qualitative results, showing how some themes remain specific while others have fully permeated the space of AI ethics. We document and release our corpus, comprising of 436 documents, charters and manifestos discussing AI ethics. We release the corpus, its datasheet and our analysis, to open the way to further studies and discussions around vocabulary, principles and their evolution, as well as interactions among actors of AI ethics, in order to foster further studies on the topic.
Workshops
33.
Buccio, Emanuele Di; Neresini, Federico
Research and Teaching Public Communication of Science and Technology on Digital Data Workshop
2024: 20th conference on Information and Research science Connecting to Digital and Library science 2024, ISSN: 1613-0073.
@workshop{nokey,
title = {Research and Teaching Public Communication of Science and Technology on Digital Data},
author = {Emanuele Di Buccio and Federico Neresini},
url = {https://ceur-ws.org/Vol-3643/paper14.pdf},
issn = {1613-0073},
year = {2024},
date = {2024-02-22},
organization = {2024: 20th conference on Information and Research science Connecting to Digital and Library science},
abstract = {In recent decades, there has been a growing interest among Social Science researchers in computational approaches; Computational Social Science and Digital Sociology are examples of these research directions. An interdisciplinary research field that can be framed within Social Science is Public Communication of Science and Technology (PCST), which examines how science and technology can affect contemporary society and how society can affect science and technology. The digitization of traditional media and the proliferation of other information channels, such as Social Media, provide new opportunities for PCST.
This paper discusses the issues that need to be addressed to support PCST scholars, possible solutions to address them, and the integration of these solutions into a single platform that is being used to support research and teaching. Concerning teaching, the paper presents an example of how the platform can be used in the context of a university course.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
In recent decades, there has been a growing interest among Social Science researchers in computational approaches; Computational Social Science and Digital Sociology are examples of these research directions. An interdisciplinary research field that can be framed within Social Science is Public Communication of Science and Technology (PCST), which examines how science and technology can affect contemporary society and how society can affect science and technology. The digitization of traditional media and the proliferation of other information channels, such as Social Media, provide new opportunities for PCST.
This paper discusses the issues that need to be addressed to support PCST scholars, possible solutions to address them, and the integration of these solutions into a single platform that is being used to support research and teaching. Concerning teaching, the paper presents an example of how the platform can be used in the context of a university course.
This paper discusses the issues that need to be addressed to support PCST scholars, possible solutions to address them, and the integration of these solutions into a single platform that is being used to support research and teaching. Concerning teaching, the paper presents an example of how the platform can be used in the context of a university course.
2023
Journal Articles
34.
Mason, Eloïse; Bispo, Antonio; Matt, Mireille; Helming, Katharina; Rodriguez, Elena; Lansac, Rocio; Carrasco, Violeta; Hashar, Mohammad Rafiul; Verdonk, Loes; Prokop, Gundula; Wall, David; Francis, Nancy; Laszlo, Peter; Löbmann, Michael T.
Sustainable soil and land management: a systems-oriented overview of scientific literature Journal Article
In: Frontiers in Soil Science, 2023.
@article{Mason2023d,
title = {Sustainable soil and land management: a systems-oriented overview of scientific literature},
author = {Eloïse Mason and Antonio Bispo and Mireille Matt and Katharina Helming and Elena Rodriguez and Rocio Lansac and Violeta Carrasco and Mohammad Rafiul Hashar and Loes Verdonk and Gundula Prokop and David Wall and Nancy Francis and Peter Laszlo and Michael T. Löbmann},
url = {https://www.frontiersin.org/articles/10.3389/fsoil.2023.1268037/full
},
doi = {10.3389/fsoil.2023.1268037},
year = {2023},
date = {2023-12-18},
journal = {Frontiers in Soil Science},
abstract = {Healthy soil is vital for our wellbeing and wealth. However, increasing demand for food and biomass may lead to unsustainable soil and land management practices that threaten soils. Other degradation processes such as soil sealing also endanger soil resources. Identifying and accessing the best available knowledge is crucial to address related sustainability issues and promote the needed transition towards sustainable soil and land management practices. Such knowledge has to cover all knowledge domains, system knowledge, target knowledge, and transformation knowledge. However, a comprehensive overview of existing research addressing societal needs related to soil is still missing, which hinders the identification of knowledge gaps. This study provides a detailed analysis of scientific literature to identify ongoing research activities and trends. A quantitative and qualitative analysis of scientific literature related to sustainable soil and land management was conducted. A systems-oriented analytical framework was used that combines soil and land related societal challenges with related knowledge domains. Our analysis revealed a significant increase in scientific publications and related interest in soil and land use-related research, above the average increase of publications within all scientific fields. Different forms of reduction and remediation of soil degradation processes (e.g. erosion, contamination) have been studied most extensively. Other topic areas like land take mitigation, soil biodiversity increase, increase of ecosystem services provision and climate change mitigation and adaption seem to be rather recent concerns, less investigated. We could highlight the importance of context-specific research, as different regions require different practices. For instance, boreal, tropical, karst and peatland regions were less studied. Furthermore, we found that diversifying soil management practices such as agroforestry or including livestock into arable systems are valuable options for increasing biomass, mitigating/adapting to climate change, and improving soil related ecosystem services. A recent trend towards the latter research topic indicates the transition from a soil conservation-oriented perspective to a soil service-oriented perspective, which may be better suited to integrate the social and economic dimensions of soil health improvement alongside the ecological dimension.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Healthy soil is vital for our wellbeing and wealth. However, increasing demand for food and biomass may lead to unsustainable soil and land management practices that threaten soils. Other degradation processes such as soil sealing also endanger soil resources. Identifying and accessing the best available knowledge is crucial to address related sustainability issues and promote the needed transition towards sustainable soil and land management practices. Such knowledge has to cover all knowledge domains, system knowledge, target knowledge, and transformation knowledge. However, a comprehensive overview of existing research addressing societal needs related to soil is still missing, which hinders the identification of knowledge gaps. This study provides a detailed analysis of scientific literature to identify ongoing research activities and trends. A quantitative and qualitative analysis of scientific literature related to sustainable soil and land management was conducted. A systems-oriented analytical framework was used that combines soil and land related societal challenges with related knowledge domains. Our analysis revealed a significant increase in scientific publications and related interest in soil and land use-related research, above the average increase of publications within all scientific fields. Different forms of reduction and remediation of soil degradation processes (e.g. erosion, contamination) have been studied most extensively. Other topic areas like land take mitigation, soil biodiversity increase, increase of ecosystem services provision and climate change mitigation and adaption seem to be rather recent concerns, less investigated. We could highlight the importance of context-specific research, as different regions require different practices. For instance, boreal, tropical, karst and peatland regions were less studied. Furthermore, we found that diversifying soil management practices such as agroforestry or including livestock into arable systems are valuable options for increasing biomass, mitigating/adapting to climate change, and improving soil related ecosystem services. A recent trend towards the latter research topic indicates the transition from a soil conservation-oriented perspective to a soil service-oriented perspective, which may be better suited to integrate the social and economic dimensions of soil health improvement alongside the ecological dimension.
35.
Dauphiné-Morer, Anne-Lise; Zenasni, Franck; Boissy, Alain; Mambrini-Doudet, Muriel
Investigating intention in non-human animals. Part I. States of art and non-art Journal Article
In: 2023, (Research Square - preprint platform).
@article{Dauphiné-Morer2023b,
title = {Investigating intention in non-human animals. Part I. States of art and non-art},
author = {Anne-Lise Dauphiné-Morer and Franck Zenasni and Alain Boissy and Muriel Mambrini-Doudet},
url = {https://www.researchgate.net/publication/376430400_Investigating_intention_in_non-human_animals_Part_I_States_of_art_and_non-art
},
doi = {10.21203/rs.3.rs-2941491/v2},
year = {2023},
date = {2023-12-11},
abstract = {Is the analytical framework used by ethologists sufficient to study the mental states of non-human animals (NHAs) at the appropriate level of complexity? To address this question our strategy was to i) reveal the experimental and analytic habits of scientists of different disciplines in the literature, and ii) use "intention" as a vector in an interdisciplinary prospect of the study of NHAs mental states. Our own intention was to outline the specific orientations and possible impasses of the ethological analytical framework which limits the consideration of NHAs intentions. We conducted a bibliometric analysis of the scientific literature published between 2016 and 2020 in two steps: 1. through a first corpus, we identified the terms used in studies of NHAs intentions and 2. on this basis, 111 articles related to intentions in NHAs were selected. By analysing them using a co-occurrences network of the authors’ keywords, ten scientific approaches to intention in NHAs were identified. Our main findings are that i) the term « intention » is very seldom used in studies of NHAs; ii) approaches developed in humans are rarely transposed in these studies; and iii) in such few studies, it is not the NHAs intentions which are under question, but the link between NHAs and human intentions. This study highlights the limitations of the current theoretical framework used to study non-human animals’ cognition, which does not allow for the full spectrum of non-human cognitive specificities.},
note = {Research Square - preprint platform},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Is the analytical framework used by ethologists sufficient to study the mental states of non-human animals (NHAs) at the appropriate level of complexity? To address this question our strategy was to i) reveal the experimental and analytic habits of scientists of different disciplines in the literature, and ii) use "intention" as a vector in an interdisciplinary prospect of the study of NHAs mental states. Our own intention was to outline the specific orientations and possible impasses of the ethological analytical framework which limits the consideration of NHAs intentions. We conducted a bibliometric analysis of the scientific literature published between 2016 and 2020 in two steps: 1. through a first corpus, we identified the terms used in studies of NHAs intentions and 2. on this basis, 111 articles related to intentions in NHAs were selected. By analysing them using a co-occurrences network of the authors’ keywords, ten scientific approaches to intention in NHAs were identified. Our main findings are that i) the term « intention » is very seldom used in studies of NHAs; ii) approaches developed in humans are rarely transposed in these studies; and iii) in such few studies, it is not the NHAs intentions which are under question, but the link between NHAs and human intentions. This study highlights the limitations of the current theoretical framework used to study non-human animals’ cognition, which does not allow for the full spectrum of non-human cognitive specificities.
36.
Rikap, Cecilia
Intellectual monopolies as a new pattern of innovation and technological regime Journal Article
In: Industrial and Corporate Change, 2023.
@article{Rikap2023b,
title = {Intellectual monopolies as a new pattern of innovation and technological regime},
author = {Cecilia Rikap},
url = {https://academic.oup.com/icc/advance-article/doi/10.1093/icc/dtad077/7462137},
doi = {/10.1093/icc/dtad077},
year = {2023},
date = {2023-12-07},
journal = {Industrial and Corporate Change},
abstract = {Building on Schumpeter Mark I and Mark II, I propose an additional pattern of innovation and technological regime called the intellectual monopoly (IM) to explain the co-habitation of large incumbent firms with high entry and exit rates and provide evidence for pharmaceuticals and information technologies. I associate the IM pattern and technological regime with corporate innovation systems and illustrate that patterns not only evolve after changes in technological regimes but also due to economic, political, and institutional transformations.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Building on Schumpeter Mark I and Mark II, I propose an additional pattern of innovation and technological regime called the intellectual monopoly (IM) to explain the co-habitation of large incumbent firms with high entry and exit rates and provide evidence for pharmaceuticals and information technologies. I associate the IM pattern and technological regime with corporate innovation systems and illustrate that patterns not only evolve after changes in technological regimes but also due to economic, political, and institutional transformations.
37.
Demortain, David
Mistrust of the black box: the public auditing of private models in the chemicals regulatory space Journal Article
In: Science as Culture, 2023.
@article{Demortain2023,
title = {Mistrust of the black box: the public auditing of private models in the chemicals regulatory space},
author = {David Demortain},
url = {https://doi.org/10.1080/09505431.2023.2286278},
doi = {10.1080/09505431.2023.2286278},
year = {2023},
date = {2023-12-06},
journal = {Science as Culture},
abstract = {Metrics foster trust in governing bodies, but their uncertainty can elicit an opposite sentiment of mistrust. In chemicals governance, most of the conversations concerning computational models revolve around their uncertainty, and the extent to which simulations of safe doses can be transposed in regulatory decisions. To understand the source of this mistrust in models, research in science and technology studies on policy modeling, particularly research that looks at models as an interface between science and policy, must be extended to consider the private production of predictions. Looking at the full set of actors involved in predictive regulatory knowledge – companies, regulatory agencies, modelers working with one or the other – and their concurrent articulations of uncertainty, it appears that regulators audit physiologically based pharmacokinetic models (PBPK, a key class of models used to compute safe chemical doses), because the chemical industry initially introduced them to challenge its methods of risk assessment. Regulators and their modelers established model auditing, to be able to negotiate the predictive claims of companies and their consultants. At the end of the day, neither companies nor regulators appear to dominate the production of predictive knowledge. It is the product of the shifting distribution of expertise in the regulatory space, and of the outcomes of the recurrent trials of credibility that this distribution enables.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Metrics foster trust in governing bodies, but their uncertainty can elicit an opposite sentiment of mistrust. In chemicals governance, most of the conversations concerning computational models revolve around their uncertainty, and the extent to which simulations of safe doses can be transposed in regulatory decisions. To understand the source of this mistrust in models, research in science and technology studies on policy modeling, particularly research that looks at models as an interface between science and policy, must be extended to consider the private production of predictions. Looking at the full set of actors involved in predictive regulatory knowledge – companies, regulatory agencies, modelers working with one or the other – and their concurrent articulations of uncertainty, it appears that regulators audit physiologically based pharmacokinetic models (PBPK, a key class of models used to compute safe chemical doses), because the chemical industry initially introduced them to challenge its methods of risk assessment. Regulators and their modelers established model auditing, to be able to negotiate the predictive claims of companies and their consultants. At the end of the day, neither companies nor regulators appear to dominate the production of predictive knowledge. It is the product of the shifting distribution of expertise in the regulatory space, and of the outcomes of the recurrent trials of credibility that this distribution enables.
38.
Orduña-Malea, Enrique; Bautista-Puig, Núria
Research assessment under debate: disentangling the interest around the DORA declaration on Twitter Journal Article
In: Scientometrics, 2023.
@article{Orduña-Malea2023,
title = {Research assessment under debate: disentangling the interest around the DORA declaration on Twitter},
author = {Enrique Orduña-Malea and Núria Bautista-Puig},
url = {https://link.springer.com/article/10.1007/s11192-023-04872-6#article-info
},
doi = {https://doi.org/10.1007/s11192-023-04872-6},
year = {2023},
date = {2023-11-17},
journal = {Scientometrics},
abstract = {Much debate has been around the misapplication of metrics in research assessment. As a result of this concern, the Declaration on Research Assessment (DORA) was launched, an initiative that caused opposing viewpoints. However, the discussion topics about DORA have not been formally identified, especially in participatory environments outside the scholarly communication process, such as social networks. This paper contributes to that end by analyzing 20,717 DORA-related tweets published from 2015 to 2022. The results show an increasing volume of tweets, mainly promotional and informative, but with limited participation of users, either commenting or engaging with the tweets, generating a scarcely polarized conversation driven primarily by a few DORA promoters. While a varied list of discussion topics is found (especially "Open science and research assessment," "Academics career assessment & innovation," and "Journal Impact Factor"), the DORA debate appears as part of broader conversations (research evaluation, open science). Further studies are needed to check whether these results are restricted to Twitter or reveal more general patterns. The findings might interest the different evaluators and evaluated agents regarding their interests and concerns around the reforms in the research evaluation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Much debate has been around the misapplication of metrics in research assessment. As a result of this concern, the Declaration on Research Assessment (DORA) was launched, an initiative that caused opposing viewpoints. However, the discussion topics about DORA have not been formally identified, especially in participatory environments outside the scholarly communication process, such as social networks. This paper contributes to that end by analyzing 20,717 DORA-related tweets published from 2015 to 2022. The results show an increasing volume of tweets, mainly promotional and informative, but with limited participation of users, either commenting or engaging with the tweets, generating a scarcely polarized conversation driven primarily by a few DORA promoters. While a varied list of discussion topics is found (especially "Open science and research assessment," "Academics career assessment & innovation," and "Journal Impact Factor"), the DORA debate appears as part of broader conversations (research evaluation, open science). Further studies are needed to check whether these results are restricted to Twitter or reveal more general patterns. The findings might interest the different evaluators and evaluated agents regarding their interests and concerns around the reforms in the research evaluation.
39.
Rizvi, Mohammed
Investigating Al-Powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments Journal Article
In: The Eurasia Proceedings of Educational and Social Sciences, vol. 31, pp. 67-73, 2023.
@article{Rizvi2023,
title = {Investigating Al-Powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments},
author = {Mohammed Rizvi},
url = {https://www.researchgate.net/profile/Suraj-Patel-48/publication/385701461_Investigating_AI-Powered_Tutoring_Systems/links/6731874f77b63d1220e9bde7/Investigating-AI-Powered-Tutoring-Systems.pdf},
doi = {/10.55549/epess.1381518},
year = {2023},
date = {2023-10-31},
journal = {The Eurasia Proceedings of Educational and Social Sciences},
volume = {31},
pages = {67-73},
abstract = {This comprehensive literature review seeks to assess the potential of Al-powered tutoring systems that are able to adapt and provide personalized guidance tailored to individual student needs. As Artificial Intelligence (AI) technologies continue to progress at a rapid rate, there is ever increasing interest in leveraging these capabilities for educational purposes. By offering customized instruction based on each student's strengths, weaknesses, and learning style preferences, Al-powered tutoring systems may revolutionize how students learn.
The review will examine various studies and research papers exploring the design, implementation techniques as well as effectiveness of such innovative solutions. This includes delving into algorithms like machine learning, natural language processing or data mining which enable these systems to adjust their interactions according to students' requirements. Moreover, it will investigate any positive impacts such personalized teaching has had on academic performance levels in addition to engagement motivation amongst learners. Additionally, this study shall look into existing challenges faced when using Al-powered tutoring systems; from ethical concerns about privacy issues thought too effective teacher -student communication. After taking all findings from available literature into account we can then identify areas where more work is needed, offer suggestions for future improvements or studies within this field. In conclusion, with our synthesis of insights gathered during our investigation we hope improve awareness & understandings around utilizing Al technology for educational purposes so that teachers & students alike can benefit from personalized adaptive educations experiences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This comprehensive literature review seeks to assess the potential of Al-powered tutoring systems that are able to adapt and provide personalized guidance tailored to individual student needs. As Artificial Intelligence (AI) technologies continue to progress at a rapid rate, there is ever increasing interest in leveraging these capabilities for educational purposes. By offering customized instruction based on each student's strengths, weaknesses, and learning style preferences, Al-powered tutoring systems may revolutionize how students learn.
The review will examine various studies and research papers exploring the design, implementation techniques as well as effectiveness of such innovative solutions. This includes delving into algorithms like machine learning, natural language processing or data mining which enable these systems to adjust their interactions according to students' requirements. Moreover, it will investigate any positive impacts such personalized teaching has had on academic performance levels in addition to engagement motivation amongst learners. Additionally, this study shall look into existing challenges faced when using Al-powered tutoring systems; from ethical concerns about privacy issues thought too effective teacher -student communication. After taking all findings from available literature into account we can then identify areas where more work is needed, offer suggestions for future improvements or studies within this field. In conclusion, with our synthesis of insights gathered during our investigation we hope improve awareness & understandings around utilizing Al technology for educational purposes so that teachers & students alike can benefit from personalized adaptive educations experiences.
The review will examine various studies and research papers exploring the design, implementation techniques as well as effectiveness of such innovative solutions. This includes delving into algorithms like machine learning, natural language processing or data mining which enable these systems to adjust their interactions according to students' requirements. Moreover, it will investigate any positive impacts such personalized teaching has had on academic performance levels in addition to engagement motivation amongst learners. Additionally, this study shall look into existing challenges faced when using Al-powered tutoring systems; from ethical concerns about privacy issues thought too effective teacher -student communication. After taking all findings from available literature into account we can then identify areas where more work is needed, offer suggestions for future improvements or studies within this field. In conclusion, with our synthesis of insights gathered during our investigation we hope improve awareness & understandings around utilizing Al technology for educational purposes so that teachers & students alike can benefit from personalized adaptive educations experiences.
40.
Miara, M.; Boudes, P.; Rabier, T.; Gafsi, M.
Animal traction in developed countries: The reappropriation of a past practice through agroecological transition Journal Article
In: Journal of Rural Studies, vol. 103, pp. 103124, 2023, ISSN: 0743-0167.
@article{Miara2023,
title = {Animal traction in developed countries: The reappropriation of a past practice through agroecological transition},
author = {M. Miara and P. Boudes and T. Rabier and M. Gafsi},
url = {https://www.sciencedirect.com/science/article/pii/S0743016723001900},
doi = {/10.1016/j.jrurstud.2023.103124},
issn = {0743-0167},
year = {2023},
date = {2023-09-15},
urldate = {2023-09-15},
journal = {Journal of Rural Studies},
volume = {103},
pages = {103124},
abstract = {As part of the current agroecological transition, animal traction in agriculture is benefiting from an increased focus in developed countries. However, the practice is struggling to gain recognition from research, institutions and the agricultural profession. This article aims to analyze how animal traction is treated in developed countries, and to assess the extent to which it could be considered an agroecological practice. We analyze animal traction as a scientific object and a socio-professional movement. Our methodology is based on a review of scientific literature and an analysis of the French general press. The various studies show that animal traction has advantages in terms of energy, economics and agronomy. It tends to be developed by alternative movements and farmers motivated by a desire to redesign our food systems. Both scientific and press reviews show a renewed positive interest in animal traction. Although these reviews highlight its agroecological potential, the practice is facing difficulties in gaining recognition. The findings of this article are of obvious interest to rural development researchers and policy makers. They help the former to explore new issues in the return of animal traction, and the latter to better understand the development factors of this practice.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
As part of the current agroecological transition, animal traction in agriculture is benefiting from an increased focus in developed countries. However, the practice is struggling to gain recognition from research, institutions and the agricultural profession. This article aims to analyze how animal traction is treated in developed countries, and to assess the extent to which it could be considered an agroecological practice. We analyze animal traction as a scientific object and a socio-professional movement. Our methodology is based on a review of scientific literature and an analysis of the French general press. The various studies show that animal traction has advantages in terms of energy, economics and agronomy. It tends to be developed by alternative movements and farmers motivated by a desire to redesign our food systems. Both scientific and press reviews show a renewed positive interest in animal traction. Although these reviews highlight its agroecological potential, the practice is facing difficulties in gaining recognition. The findings of this article are of obvious interest to rural development researchers and policy makers. They help the former to explore new issues in the return of animal traction, and the latter to better understand the development factors of this practice.
LIST OF SCIENTIFIC WORKS THAT HAVE USED CORTEXT MANAGER
(Sources: Google Scholar, HAL, Scopus, WOS and search engines)
We are grateful that you have found CorTexT Manager useful. Over the years, you have been more than 1050 authors to trust CorTexT for your publicly accessible analyzes. This represents a little less than 10% of CorTexT Manager user’s community. So, thank you!
We seek to understand how the scientific production that used CorText Manager has evolved and to characterise it. You will find here our analysis of this scientific production.
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