2023
Proceedings Articles
1.
Berrou, Yolène; Soulier, Eddie
A Methodology to Analyze the Development of Local Energy Communities Based on Socio-Energetic Nodes and Actor-Network Theory Proceedings Article
In: pp. 439-446, Elsevier, 2023, ISSN: 1877-0509, (CENTERIS – International Conference on ENTERprise Information Systems / ProjMAN – International Conference on Project MANagement / HCist – International Conference on Health and Social Care Information Systems and Technologies 2022).
@inproceedings{Berrou2023,
title = {A Methodology to Analyze the Development of Local Energy Communities Based on Socio-Energetic Nodes and Actor-Network Theory},
author = {Yolène Berrou and Eddie Soulier},
url = {https://www.sciencedirect.com/science/article/pii/S1877050923003198},
doi = {/10.1016/j.procs.2023.01.310},
issn = {1877-0509},
year = {2023},
date = {2023-03-22},
urldate = {2023-03-22},
journal = {Procedia Computer Science},
volume = {219},
pages = {439-446},
publisher = {Elsevier},
abstract = {The shift from centralized to decentralized energy, with the development of renewable energies, is giving rise to new energy models. Some of these models aim to increase the citizens participation in the energy transition, such as the energy communities. This concept has recently emerged in Europe to encourage the development of local projects and raising citizens' awareness. Our aim is to better understand how such communities emerge to foster them, and to propose a tool for B2T (Business to Territory) Business Developers. We have developed a generic methodology to follow the formation of sociotechnical systems based on a modeling of the Actor-Network Theory. We use the concept of Socio-Energetic Node and propose a model of it to apply our generic methodology to Local Energy Communities. Preliminary results are presented at the end of this paper on a case study.},
note = {CENTERIS – International Conference on ENTERprise Information Systems / ProjMAN – International Conference on Project MANagement / HCist – International Conference on Health and Social Care Information Systems and Technologies 2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The shift from centralized to decentralized energy, with the development of renewable energies, is giving rise to new energy models. Some of these models aim to increase the citizens participation in the energy transition, such as the energy communities. This concept has recently emerged in Europe to encourage the development of local projects and raising citizens' awareness. Our aim is to better understand how such communities emerge to foster them, and to propose a tool for B2T (Business to Territory) Business Developers. We have developed a generic methodology to follow the formation of sociotechnical systems based on a modeling of the Actor-Network Theory. We use the concept of Socio-Energetic Node and propose a model of it to apply our generic methodology to Local Energy Communities. Preliminary results are presented at the end of this paper on a case study.
2022
PhD Theses
2.
Sørhaug, Jon Olav
På sporet av aktørar som skriv Ein studie av to digitale samskrivingskasus i ein ungdomsskoleklasse PhD Thesis
2022, ISSN: 1504-9272.
@phdthesis{Sørhaug2022,
title = {På sporet av aktørar som skriv Ein studie av to digitale samskrivingskasus i ein ungdomsskoleklasse},
author = {Jon Olav Sørhaug},
editor = {Universitetet i Agder},
url = {https://uia.brage.unit.no/uia-xmlui/bitstream/handle/11250/3035826/Dissertation.pdf?sequence=4},
issn = {1504-9272},
year = {2022},
date = {2022-06-05},
urldate = {2022-06-05},
abstract = {On the Trail of Actors Who Write is a study of two digital cases of collaborative writing in a Norwegian lower secondary school class. The study maps, analyzes and discusses the writing process in two collaborative writing groups, consisting of six students – in close collaboration with software, texts from the Internet and other digital actors, during three double lessons in February 2020.
The study applies socio-material theory to writing in school contexts. The conceptual framework is based on actor-network theory (ANT), theories of linguistic materiality, visual network analysis (VNA) and case study methodology. The collected material in the study consists of both quantitative and qualitative data: student texts and source texts, video and screen recordings, and also interviews with the teacher and students participating in the project.
Central to the study is the question of how human and digital actors interact while writing, and which role technology plays in this process. The study reveals that the student texts are produced through a number of negotiations and trials of strength between students, search engines, digital source texts and writing software. Search engines greatly influence the planning processes in that they select, prioritize and promote other actors' texts, and indeed specific parts of these texts. The source texts affect the composition of student texts by circulating, replicating and, in some cases, mutating the linguistic material into
their texts. Writing software affects students' spelling through writing suggestions and corrective interruptions in the digital environment. The production of the student texts can thus be seen as transformations of linguistic material originating in the digital actors that participate in the writing process, and to some extent originating in the students themselves.
In several of the situations observed in these two collaborative writing cases, it is the digital actors that seem to have the greatest power of negotiation and impact. A practical implication for writing education can therefore be to strengthen lower secondary school students' critical approach and ability to negotiate with digital actors, so that students can make more independent choices while writing, also when collaboratively writing with each other and through digital technology.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
On the Trail of Actors Who Write is a study of two digital cases of collaborative writing in a Norwegian lower secondary school class. The study maps, analyzes and discusses the writing process in two collaborative writing groups, consisting of six students – in close collaboration with software, texts from the Internet and other digital actors, during three double lessons in February 2020.
The study applies socio-material theory to writing in school contexts. The conceptual framework is based on actor-network theory (ANT), theories of linguistic materiality, visual network analysis (VNA) and case study methodology. The collected material in the study consists of both quantitative and qualitative data: student texts and source texts, video and screen recordings, and also interviews with the teacher and students participating in the project.
Central to the study is the question of how human and digital actors interact while writing, and which role technology plays in this process. The study reveals that the student texts are produced through a number of negotiations and trials of strength between students, search engines, digital source texts and writing software. Search engines greatly influence the planning processes in that they select, prioritize and promote other actors' texts, and indeed specific parts of these texts. The source texts affect the composition of student texts by circulating, replicating and, in some cases, mutating the linguistic material into
their texts. Writing software affects students' spelling through writing suggestions and corrective interruptions in the digital environment. The production of the student texts can thus be seen as transformations of linguistic material originating in the digital actors that participate in the writing process, and to some extent originating in the students themselves.
In several of the situations observed in these two collaborative writing cases, it is the digital actors that seem to have the greatest power of negotiation and impact. A practical implication for writing education can therefore be to strengthen lower secondary school students' critical approach and ability to negotiate with digital actors, so that students can make more independent choices while writing, also when collaboratively writing with each other and through digital technology.
The study applies socio-material theory to writing in school contexts. The conceptual framework is based on actor-network theory (ANT), theories of linguistic materiality, visual network analysis (VNA) and case study methodology. The collected material in the study consists of both quantitative and qualitative data: student texts and source texts, video and screen recordings, and also interviews with the teacher and students participating in the project.
Central to the study is the question of how human and digital actors interact while writing, and which role technology plays in this process. The study reveals that the student texts are produced through a number of negotiations and trials of strength between students, search engines, digital source texts and writing software. Search engines greatly influence the planning processes in that they select, prioritize and promote other actors' texts, and indeed specific parts of these texts. The source texts affect the composition of student texts by circulating, replicating and, in some cases, mutating the linguistic material into
their texts. Writing software affects students' spelling through writing suggestions and corrective interruptions in the digital environment. The production of the student texts can thus be seen as transformations of linguistic material originating in the digital actors that participate in the writing process, and to some extent originating in the students themselves.
In several of the situations observed in these two collaborative writing cases, it is the digital actors that seem to have the greatest power of negotiation and impact. A practical implication for writing education can therefore be to strengthen lower secondary school students' critical approach and ability to negotiate with digital actors, so that students can make more independent choices while writing, also when collaboratively writing with each other and through digital technology.
2021
PhD Theses
3.
Poletti, Chiara
Global freedoms and viral harms: The controversy around governance of speech and social media. PhD Thesis
Cardiff University, 2021.
@phdthesis{Poletti2021,
title = {Global freedoms and viral harms: The controversy around governance of speech and social media.},
author = {Chiara Poletti},
url = {https://orca.cardiff.ac.uk/id/eprint/145885},
year = {2021},
date = {2021-12-03},
school = {Cardiff University},
abstract = {In the study I address the controversy surrounding the governance of speech and social media communications. In less than 15 years, the regulation of content on social media platforms has increasingly taken over public discussions all over the globe. Social media’s charming narrative of ‘liberation technology’ and space of free speech, has progressively switched into the frightening character of ‘threat to democracy’ and space of hate speech and fake information. Whichever idea one might be leaning on, the diffusion and entanglement of social media platforms with every aspect of our society has made content regulation on social media a global public issue.
Scholars have stressed how governance of speech has been in the hand of a plurality of actors, in a plurality of settings. In the lack of a single decision-making process, governance initiatives emerge as a reaction to public shocks. In this study, I investigate how public shocks have contributed to regulation initiatives. Using theoretical concepts from Actor-Network Theory (ANT) and critical data studies and the methodological tools from controversy mapping, I have analysed narratives about free speech, technology and governance models on websites and in the UK press from 2015 until 2018. The analysis reveals public bodies have increasingly assigned public policy responsibilities to social media and their technology (algorithms and A.I.). However, they miss considerations about the social implication of this type of governance of speech, which reinforces the structure of organisation of platform economy and algorithmic management of social life. With this study, I hope to contribute to the empirical study of governance of speech as well as presenting a normative reflection on the type of governance. I also include a meta-reflection on the role of researchers, and in particular on how this methodology and theory can expose the
paradoxes hidden in the black boxes of technology.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
In the study I address the controversy surrounding the governance of speech and social media communications. In less than 15 years, the regulation of content on social media platforms has increasingly taken over public discussions all over the globe. Social media’s charming narrative of ‘liberation technology’ and space of free speech, has progressively switched into the frightening character of ‘threat to democracy’ and space of hate speech and fake information. Whichever idea one might be leaning on, the diffusion and entanglement of social media platforms with every aspect of our society has made content regulation on social media a global public issue.
Scholars have stressed how governance of speech has been in the hand of a plurality of actors, in a plurality of settings. In the lack of a single decision-making process, governance initiatives emerge as a reaction to public shocks. In this study, I investigate how public shocks have contributed to regulation initiatives. Using theoretical concepts from Actor-Network Theory (ANT) and critical data studies and the methodological tools from controversy mapping, I have analysed narratives about free speech, technology and governance models on websites and in the UK press from 2015 until 2018. The analysis reveals public bodies have increasingly assigned public policy responsibilities to social media and their technology (algorithms and A.I.). However, they miss considerations about the social implication of this type of governance of speech, which reinforces the structure of organisation of platform economy and algorithmic management of social life. With this study, I hope to contribute to the empirical study of governance of speech as well as presenting a normative reflection on the type of governance. I also include a meta-reflection on the role of researchers, and in particular on how this methodology and theory can expose the
paradoxes hidden in the black boxes of technology.
Scholars have stressed how governance of speech has been in the hand of a plurality of actors, in a plurality of settings. In the lack of a single decision-making process, governance initiatives emerge as a reaction to public shocks. In this study, I investigate how public shocks have contributed to regulation initiatives. Using theoretical concepts from Actor-Network Theory (ANT) and critical data studies and the methodological tools from controversy mapping, I have analysed narratives about free speech, technology and governance models on websites and in the UK press from 2015 until 2018. The analysis reveals public bodies have increasingly assigned public policy responsibilities to social media and their technology (algorithms and A.I.). However, they miss considerations about the social implication of this type of governance of speech, which reinforces the structure of organisation of platform economy and algorithmic management of social life. With this study, I hope to contribute to the empirical study of governance of speech as well as presenting a normative reflection on the type of governance. I also include a meta-reflection on the role of researchers, and in particular on how this methodology and theory can expose the
paradoxes hidden in the black boxes of technology.
4.
Blank-Gomel, Rony
Traffic accidents and the risks of cycling: A sociological perspective PhD Thesis
McGill University, 2021.
@phdthesis{Blank-Gomel2021,
title = {Traffic accidents and the risks of cycling: A sociological perspective},
author = { Rony Blank-Gomel},
url = {https://escholarship.mcgill.ca/concern/theses/vt150p658},
year = {2021},
date = {2021-04-19},
address = {Montréal},
school = {McGill University},
abstract = {Traffic accidents generate a heavy burden in deaths, bodily harm and monetary costs, and there are growing concerns regarding the unintended consequences of traffic safety policies. Yet, they are marginal in the sociological literature. Drawing on the sociology of knowledge, I explore the construction and spread of truth claims regarding traffic accidents and traffic safety, focusing on accounts of the risks of cycling and specifically the role of bicycle helmets. I use this case to contribute to several sociological debates.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Traffic accidents generate a heavy burden in deaths, bodily harm and monetary costs, and there are growing concerns regarding the unintended consequences of traffic safety policies. Yet, they are marginal in the sociological literature. Drawing on the sociology of knowledge, I explore the construction and spread of truth claims regarding traffic accidents and traffic safety, focusing on accounts of the risks of cycling and specifically the role of bicycle helmets. I use this case to contribute to several sociological debates.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.
2019
Online
5.
Hasselbalch, Marie; Mayntzhusen, Trine Christensen
Mapping Controversy: vaccine controversies Online
2019, visited: 05.03.2019.
@online{Hasselbalch2019,
title = {Mapping Controversy: vaccine controversies},
author = {Marie Hasselbalch and Trine Christensen Mayntzhusen},
url = {https://medium.com/mapping-controversy-vaccine-controversies/mapping-controversy-vaccine-controversies-vaccine-hesitancy-1-hand-in-39c761aefa80},
year = {2019},
date = {2019-02-15},
urldate = {2019-03-05},
journal = {Medium},
abstract = {The controversy on vaccines is a controversy because of its embedded value based, ethical and cultural arguments (Law, J. & Singleton, V., 2014). The key issues include both scientific discussions on whether or not scientific results are valid, more specifically an example of the controversy of the Mumps, Measles and Rubella vaccine (MMR) and its relation to cause autism in children. As well as dissemination of specific arguments for or against vaccines from a broad perspective. The nuances of vaccine controversies are not only revolving around the bilateral relation of pro- and anti-vaccination, because the controversy exists of many sub-controversies and subdiscussions. This shows a controversy of high complexity and being reduction-resistant (Venturini, T., 2010a).
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
The controversy on vaccines is a controversy because of its embedded value based, ethical and cultural arguments (Law, J. & Singleton, V., 2014). The key issues include both scientific discussions on whether or not scientific results are valid, more specifically an example of the controversy of the Mumps, Measles and Rubella vaccine (MMR) and its relation to cause autism in children. As well as dissemination of specific arguments for or against vaccines from a broad perspective. The nuances of vaccine controversies are not only revolving around the bilateral relation of pro- and anti-vaccination, because the controversy exists of many sub-controversies and subdiscussions. This shows a controversy of high complexity and being reduction-resistant (Venturini, T., 2010a).
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.
2018
Journal Articles
6.
Poletti, Chiara; Michieli, Marco
Smart cities, social media platforms and security: online content regulation as a site of controversy and conflict Journal Article
In: City, Territory and Architecture, vol. 5, no. 20, 2018.
@article{Poletti2018,
title = {Smart cities, social media platforms and security: online content regulation as a site of controversy and conflict},
author = {Chiara Poletti and Marco Michieli},
url = {https://doi.org/10.1186/s40410-018-0096-2},
doi = {10.1186/s40410-018-0096-2},
year = {2018},
date = {2018-11-13},
urldate = {2018-11-13},
journal = {City, Territory and Architecture},
volume = {5},
number = {20},
abstract = {Smart, technologically managed city-regions are one of the main characteristics of the contemporary world. Since the attack to the Charlie Hebdo offices, city-regions and social media digital technologies have increasingly been changing the definition of ‘territory of security’ and ‘security governance’. What are the characteristics of the security architecture created by the interaction of smart city-regions and digital technologies? Drawing from Actor-Network theory and Science and Technology Studies, we provide an empirical account of the shape of this new territory, by presenting a study of the controversy concerning security and social media in UK, the role of cities in this changed security space, and how social sciences can help better understand and respond to the opportunities and threats of smart cities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Smart, technologically managed city-regions are one of the main characteristics of the contemporary world. Since the attack to the Charlie Hebdo offices, city-regions and social media digital technologies have increasingly been changing the definition of ‘territory of security’ and ‘security governance’. What are the characteristics of the security architecture created by the interaction of smart city-regions and digital technologies? Drawing from Actor-Network theory and Science and Technology Studies, we provide an empirical account of the shape of this new territory, by presenting a study of the controversy concerning security and social media in UK, the role of cities in this changed security space, and how social sciences can help better understand and respond to the opportunities and threats of smart cities.
2016
Journal Articles
7.
Leblond, Nelly; Trottier, Julie
Performing an Invisibility Spell: Global Models, Food Regimes and Smallholders Journal Article
In: International Journal of Sociology of Agriculture & Food, vol. 23, no. 1, pp. 21-40, 2016.
@article{leblond2016performing,
title = {Performing an Invisibility Spell: Global Models, Food Regimes and Smallholders},
author = {Nelly Leblond and Julie Trottier},
url = {http://www.redgtd.org/CENTRODOC/BD_ARCHIVOS/02_Leblond&Trottier_Global_Models_Food_Regimes&Smallholders_2016.pdf},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
journal = {International Journal of Sociology of Agriculture & Food},
volume = {23},
number = {1},
pages = {21-40},
abstract = {The present construction of global representations of food and farming is problematic. For example, how can we 'know' the world needs to double food production even though we cannot foresee a food crisis? How can we estimate investment opportunities while failing to quantify their impacts on smallholders? Global models constrain the manner in which we perceive the food regime while producing such representations. We need to identify the causal relations embedded inside models' equations and why they are arrayed in this fashion. This article combines actor-network theory and structuration theory to analyse a sample of 70 global models. It locates the modules and equations of these black boxes in the sociotechnical and political context of their production. Finally, a bibliometric analysis sketches the overall epistemic community that drove models into success or extinction. Dominant global models recycle equations, modules and databases to effectuate narrow worlds. They make smallholder farming invisible in spite of its prevalence around the world. They do not address food needs and construct pixellated representations of underutilized land. They systematically favour large-scale agricultural trade and investments in production and productivity. This reflects the structure of signification modellers adhere to as well as the structure of domination they are embedded in. Securing clients ensures the success of global models independently from their validation. The article demonstrates the manner in which modelling is a social practice embedded in power relations. Considering simultaneously the structure of domination formalized inside models and surrounding modelling is crucial. Future research should investigate how various actors resort to global models to champion their goals. It should question the policy recommendations drawn from such models and their relevance as decision support tools.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The present construction of global representations of food and farming is problematic. For example, how can we 'know' the world needs to double food production even though we cannot foresee a food crisis? How can we estimate investment opportunities while failing to quantify their impacts on smallholders? Global models constrain the manner in which we perceive the food regime while producing such representations. We need to identify the causal relations embedded inside models' equations and why they are arrayed in this fashion. This article combines actor-network theory and structuration theory to analyse a sample of 70 global models. It locates the modules and equations of these black boxes in the sociotechnical and political context of their production. Finally, a bibliometric analysis sketches the overall epistemic community that drove models into success or extinction. Dominant global models recycle equations, modules and databases to effectuate narrow worlds. They make smallholder farming invisible in spite of its prevalence around the world. They do not address food needs and construct pixellated representations of underutilized land. They systematically favour large-scale agricultural trade and investments in production and productivity. This reflects the structure of signification modellers adhere to as well as the structure of domination they are embedded in. Securing clients ensures the success of global models independently from their validation. The article demonstrates the manner in which modelling is a social practice embedded in power relations. Considering simultaneously the structure of domination formalized inside models and surrounding modelling is crucial. Future research should investigate how various actors resort to global models to champion their goals. It should question the policy recommendations drawn from such models and their relevance as decision support tools.
2012
Online
8.
Mogoutov, Andrei; Cointet, Jean-Philippe; Borra, Erik; Stevenson, Michael; Helmond, Anne; Gerlitz, Carolin; Rogers, Richard; Sanchez, Natalia; Venturini, Tommaso; Severo, Marta; Rieder, Bernhard
The Digital Methods Initiative Summerschool 2012 Online
(DMI), The Digital Methods Initiative (Ed.): 2012, visited: 02.07.2012.
@online{Mogoutov2012,
title = {The Digital Methods Initiative Summerschool 2012},
author = {Andrei Mogoutov and Jean-Philippe Cointet and Erik Borra and Michael Stevenson and Anne Helmond and Carolin Gerlitz and Richard Rogers and Natalia Sanchez and Tommaso Venturini and Marta Severo and Bernhard Rieder},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/Summerschool2012Presentations
https://digitalmethods.net/Dmi/Summerschool2012Schedule
https://digitalmethods.net/Dmi/Summerschool2012Workshops},
year = {2012},
date = {2012-07-02},
urldate = {2012-07-02},
abstract = {The Digital Methods Initiative Summerschool 2012 workshops
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
The Digital Methods Initiative Summerschool 2012 workshops
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.
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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