Nanna Bonde Thylstrup
Datos Biográficos
| ID | 269817 |
|---|---|
| NOMBRE | Nanna Bonde Thylstrup |
| NOMBRES | Nanna Bonde |
| APELLIDO | Thylstrup |
| FIRMA | THYLSTRUP N B |
| AFILIACIONES | University of Copenhagen |
| ORCID | 0000-0001-6094-2970 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 26 |
| TOTAL DE CITAS | 60 |
| OBRAS COMO AUTOR | 25 |
| OBRAS COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 2011 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 5 |
Machine unlearning and the politics of algorithmic forgetting
Machine unlearning has emerged as a technical response to demands that AI systems remove the influence of unwanted data. Drawing on critical readings of technical literature and theories of cognitive assemblages, archives, and forgetting, in this article we examine the technical promise of machine unlearning as an ethico-political practice of epistemic reconfiguration. We identify three interwoven logics: influence mitigation through parameter re…
Towards a new paradigm of “datafied development”
Development is broadly defined as progressive change or improvement in human wellbeing through multifaceted approaches, such as infrastructure enhancement, trade and investment, access to decent work, skills development, and social inclusion. It is increasingly entangled with data-centric practices and digital infrastructures like artificial intelligence systems, platforms, the internet, computers, and mobile phones. This trend warrants attention…
The datafied web
Following the 6th RESAW conference held at the University of Siegen in June 2025, we extended the conversation through follow-up discussions with selected participants, including both keynote speakers, Nanna Bonde Thylstrup and Jonathan W. Y. Gray. This round-doc discussion brings them into dialogue with Miglė Bareikytė, Carolin Gerlitz, Sebastian Giessmann, Anne Helmond, and Ian Milligan, creating a space for interdisciplinary exchange. It re-ex…
Governing by dismantling
The ongoing consolidation of state and techno-economic power worldwide calls for the development of a new critical vocabulary. At this juncture, the concept of tech oligarchy has been proposed by s
“Argh! The World Doesn't Fit the Model!”
This article examines how data annotation in news organizations serves as a site of friction and world-making, shaping how AI systems categorize and interpret journalism. Through an ethnographic study in a Danish news organization, we identify three interrelated sites of friction: taxonomic constructions, organizational infrastructures, and aspirational realities. Rather than a neutral task, annotation is a contested process where journalistic ep…
The Algorithmic Gut Feeling – Articulating Journalistic Doxa and Emerging Epistemic Frictions in AI-Driven Data Work
This article explores the epistemic practices and doxa of data workers in a news organisation in Denmark that is currently developing and experimenting with artificial intelligence (AI)-driven recommender systems, machine learning and natural language processing solutions. Previous literature on the changing epistemologies of digital journalism has focused on the increased role of metrics and the transformed practices inside newsrooms, as well as…
Citizens’ data afterlives
Public sector adoption of AI techniques in welfare systems recasts historic national data as resource for machine learning. In this paper, we examine how the use of register data for development of predictive models produces new ‘afterlives’ for citizen data. First, we document a Danish research project’s practical efforts to develop an algorithmic decision-support model for social workers to classify children’s risk of maltreatment. Second, we o…
The political economy of platformed silos
Interoperability has become a prominent topic in contemporary discourses around digital infrastructures in fields as diverse as security, finance, health, and communication. Common to these discourses are two views: first, that interoperability encompasses desiloization, i.e. the breaking down of barriers between disjoint data silos, and second, that interoperability is de facto good for users of digital platforms. This commentary challenges the …
Desiloization and its discontents
This essay explores how desiloization strategies facilitate the emergence and increasing centralization of private platform power, rather than flattening and democratizing access to and control over data. Drawing on both an original genealogy of desiloization discourses and a case study of the World Bank’s evolving approach to desiloization, we show how the slipperiness of the notion of ‘silos’ obscures the way desiloization efforts reinforce the…
Stack bricolage and infrastructural impermanence in financial machine-learning modelling
Hoping that the promises of machine-learning can be realised in financial markets, investment management and trading firms increasingly employ machine-learning techniques to extract exploitable informational edge from large datasets. In addition to heavy investments in technology and the human resources capable of manipulating it, this development has led to increased use of open-source machine-learning and data-management resources. Drawing on 4…
Traceability
This glossary entry explores traceability which is an increasingly prominent research topic in decentralised technosocial systems in fields as diverse as health, sustainability, finance, and supply chain management and relates to the ability to trace something or someone
Crisis times
The ethics and politics of data sets in the age of machine learning
Individuals and communities increasingly depend on, and fill their lives with, machine cultures, in the form of both interfaces and infrastructures. This global push for machine cultures has given rise to an increasing demand for data and engendered a proliferation of public, private and public-private dataset repositories. While datasets form a foundational element of machine cultures, they rarely come into focus as objects of critical study. Bu…
Politics of data reuse in machine learning systems
Policy discussions and corporate strategies on machine learning are increasingly championing data reuse as a key element in digital transformations. These aspirations are often coupled with a focus on responsibility, ethics and transparency, as well as emergent forms of regulation that seek to set demands for corporate conduct and the protection of civic rights. And the Protective measures include methods of traceability and assessments of 'good'…
Uncertain Archives
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This groundbreaking work offers an interdisciplinary perspective on big data and the archives they accrue, interrogating key terms. Scholars from a range of disciplines analyze concepts relevant to critical studies of big data, arranged glossary style—from abuse and aggregate to visualizatio…
Beyond cyberutopia and digital disenchantment
In this introduction, we describe how this special issue looks at contemporary digital political practices. It highlights the pragmatic engagements employed by political movements and subjects as they negotiate infrastructural entanglements with visions of resistance, subversion, and survival. The contributions to the special issue are characteristic of such engagements that operate beyond the spectacles of cyberutopia and digital disenchantment.…
Uncertain Archives
From global search engines to local smart cities, from public health monitoring to personal self-tracking technologies, digital technologies continuously capture, process, and archive social, material, and affective information in the form of big data. Although the use of big data emerged from the human desire to acquire more knowledge and master more information and to eliminate human error in large-scale information management, it has become cl…
Datafied knowledge production
Framing datafication as new form of knowledge production has become a trope in both academic and commercial contexts. This special theme examines and ultimately rejects the familiar grand claims of datafication, to instead pay attention to emergent conversations that seek to take a more nuanced stock of the status and nature of datafied knowledge production. The articles in this special theme thus engage with datafied knowledge production through…
Data out of place
It has become increasingly common to talk about "digital traces". The idea that we leak, drop and leave traces wherever we go has given rise to a culture of traceability, and this culture of traceability, I argue, is intimately entangled with a socio-economics of data disposability and recycling. While the culture of traceability has often been theorised in terms of, and in relation to, privacy, I offer another approach, framing digital traces in…
Geolocating the stranger
Geolocation as an increasingly common technique in dating apps is often portrayed as a way of configuring uncertainty that facilitates playful interaction with unknown strangers while avoiding subjecting the user to unwanted risks. Geolocation features are used in these apps on the one hand as matching techniques that created links between the user and potential partners through geographical location, and on the other as warranting techniques tha…
The techniques and aesthetics of love in the age of big data
The nexus between love and digitization has become a significant matter of concern in contemporary society. On the one hand, the romantic subject has never had more help at hand to seek out love through apps and platforms. On the other, hand, these very same aids are claimed to signal the end of romantic love. While there is much debate on whether or not digitization and love are incompatible systems, and much time has been devoted to exploring t…
The temporal flows of self-tracking
This article conceptualizes the experience of self-tracking as flow, a central technique, utilized by digital media companies to hook their users. We argue the notion of flow is valuable for understanding both the temporal lock-ins of self-tracking practices in sequences and repetition, and the way self-tracking technologies thrive on data sequences for retaining users and creating viable businesses. To substantiate this, we present a qualitative…
Images and uncertain worlds
Preview this article: Images and uncertain worlds, Page 1 of 1 /docserver/preview/fulltext/pop/9/2/pop.9.2.99_2-1.gif
The transformative power of the thumbnail image
Thumbnail images are discreet, yet central navigational tools in increasingly complex visual information environments. Indeed, without thumbnail images there would be no image search: they are an inherent part of the information architecture of most digital information platforms. Yet, how might we understand the role of the thumbnail as an attention technology in the digital economy? And what kind of aesthetic does it produce? This paper examines…
Data visualization from a feminist perspective - Interview with Catherine D ́Ignazio
Catherine D’Ignazio is a scholar, artist/designer and software developer who focuses on data literacy, feminist technology and civic art. She has run breastpump hackathons, created award-winning water quality sculptures that talk and tweet, and led walking data visualizations to envision the future of sea level rise. Her research at the intersection of gender, technology and the humanities has been published in the Journal of Peer Production, the…
The ethics and politics of data sets in the age of machine learning
Individuals and communities increasingly depend on, and fill their lives with, machine cultures, in the form of both interfaces and infrastructures. This global push for machine cultures has given rise to an increasing demand for data and engendered a proliferation of public, private and public-private dataset repositories. While datasets form a foundational element of machine cultures, they rarely come into focus as objects of critical study. Bu…
Data out of place
It has become increasingly common to talk about "digital traces". The idea that we leak, drop and leave traces wherever we go has given rise to a culture of traceability, and this culture of traceability, I argue, is intimately entangled with a socio-economics of data disposability and recycling. While the culture of traceability has often been theorised in terms of, and in relation to, privacy, I offer another approach, framing digital traces in…
The temporal flows of self-tracking
This article conceptualizes the experience of self-tracking as flow, a central technique, utilized by digital media companies to hook their users. We argue the notion of flow is valuable for understanding both the temporal lock-ins of self-tracking practices in sequences and repetition, and the way self-tracking technologies thrive on data sequences for retaining users and creating viable businesses. To substantiate this, we present a qualitative…
Uncertain Archives
From global search engines to local smart cities, from public health monitoring to personal self-tracking technologies, digital technologies continuously capture, process, and archive social, material, and affective information in the form of big data. Although the use of big data emerged from the human desire to acquire more knowledge and master more information and to eliminate human error in large-scale information management, it has become cl…
Politics of data reuse in machine learning systems
Policy discussions and corporate strategies on machine learning are increasingly championing data reuse as a key element in digital transformations. These aspirations are often coupled with a focus on responsibility, ethics and transparency, as well as emergent forms of regulation that seek to set demands for corporate conduct and the protection of civic rights. And the Protective measures include methods of traceability and assessments of 'good'…
Datafied knowledge production
Framing datafication as new form of knowledge production has become a trope in both academic and commercial contexts. This special theme examines and ultimately rejects the familiar grand claims of datafication, to instead pay attention to emergent conversations that seek to take a more nuanced stock of the status and nature of datafied knowledge production. The articles in this special theme thus engage with datafied knowledge production through…
Stack bricolage and infrastructural impermanence in financial machine-learning modelling
Hoping that the promises of machine-learning can be realised in financial markets, investment management and trading firms increasingly employ machine-learning techniques to extract exploitable informational edge from large datasets. In addition to heavy investments in technology and the human resources capable of manipulating it, this development has led to increased use of open-source machine-learning and data-management resources. Drawing on 4…
Geolocating the stranger
Geolocation as an increasingly common technique in dating apps is often portrayed as a way of configuring uncertainty that facilitates playful interaction with unknown strangers while avoiding subjecting the user to unwanted risks. Geolocation features are used in these apps on the one hand as matching techniques that created links between the user and potential partners through geographical location, and on the other as warranting techniques tha…
Data visualization from a feminist perspective - Interview with Catherine D ́Ignazio
Catherine D’Ignazio is a scholar, artist/designer and software developer who focuses on data literacy, feminist technology and civic art. She has run breastpump hackathons, created award-winning water quality sculptures that talk and tweet, and led walking data visualizations to envision the future of sea level rise. Her research at the intersection of gender, technology and the humanities has been published in the Journal of Peer Production, the…
The Digital Dimension of European Cultural Politics
The Internet and the World Wide Web (WWW) have become dominant fields for European Union (EU) politics. What used to be at the outer fringes of the EU policies has now taken centre stage. The transnational and dialogical structure of the Internet has hardwired it for international cultural politics, yet the very same structure also works to erode the very territorial foundation of traditional cultural politics. Given the delicate and complex terr…
The transformative power of the thumbnail image
Thumbnail images are discreet, yet central navigational tools in increasingly complex visual information environments. Indeed, without thumbnail images there would be no image search: they are an inherent part of the information architecture of most digital information platforms. Yet, how might we understand the role of the thumbnail as an attention technology in the digital economy? And what kind of aesthetic does it produce? This paper examines…
Data visualization from a feminist perspective - Interview with Catherine D ́Ignazio
Catherine D’Ignazio is a scholar, artist/designer and software developer who focuses on data literacy, feminist technology and civic art. She has run breastpump hackathons, created award-winning water quality sculptures that talk and tweet, and led walking data visualizations to envision the future of sea level rise. Her research at the intersection of gender, technology and the humanities has been published in the Journal of Peer Production, the…
Geolocating the stranger
Geolocation as an increasingly common technique in dating apps is often portrayed as a way of configuring uncertainty that facilitates playful interaction with unknown strangers while avoiding subjecting the user to unwanted risks. Geolocation features are used in these apps on the one hand as matching techniques that created links between the user and potential partners through geographical location, and on the other as warranting techniques tha…
The techniques and aesthetics of love in the age of big data
The nexus between love and digitization has become a significant matter of concern in contemporary society. On the one hand, the romantic subject has never had more help at hand to seek out love through apps and platforms. On the other, hand, these very same aids are claimed to signal the end of romantic love. While there is much debate on whether or not digitization and love are incompatible systems, and much time has been devoted to exploring t…
The temporal flows of self-tracking
This article conceptualizes the experience of self-tracking as flow, a central technique, utilized by digital media companies to hook their users. We argue the notion of flow is valuable for understanding both the temporal lock-ins of self-tracking practices in sequences and repetition, and the way self-tracking technologies thrive on data sequences for retaining users and creating viable businesses. To substantiate this, we present a qualitative…
Images and uncertain worlds
Preview this article: Images and uncertain worlds, Page 1 of 1 /docserver/preview/fulltext/pop/9/2/pop.9.2.99_2-1.gif
Uncertain Archives
From global search engines to local smart cities, from public health monitoring to personal self-tracking technologies, digital technologies continuously capture, process, and archive social, material, and affective information in the form of big data. Although the use of big data emerged from the human desire to acquire more knowledge and master more information and to eliminate human error in large-scale information management, it has become cl…
Datafied knowledge production
Framing datafication as new form of knowledge production has become a trope in both academic and commercial contexts. This special theme examines and ultimately rejects the familiar grand claims of datafication, to instead pay attention to emergent conversations that seek to take a more nuanced stock of the status and nature of datafied knowledge production. The articles in this special theme thus engage with datafied knowledge production through…
Data out of place
It has become increasingly common to talk about "digital traces". The idea that we leak, drop and leave traces wherever we go has given rise to a culture of traceability, and this culture of traceability, I argue, is intimately entangled with a socio-economics of data disposability and recycling. While the culture of traceability has often been theorised in terms of, and in relation to, privacy, I offer another approach, framing digital traces in…
Beyond cyberutopia and digital disenchantment
In this introduction, we describe how this special issue looks at contemporary digital political practices. It highlights the pragmatic engagements employed by political movements and subjects as they negotiate infrastructural entanglements with visions of resistance, subversion, and survival. The contributions to the special issue are characteristic of such engagements that operate beyond the spectacles of cyberutopia and digital disenchantment.…
Uncertain Archives
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This groundbreaking work offers an interdisciplinary perspective on big data and the archives they accrue, interrogating key terms. Scholars from a range of disciplines analyze concepts relevant to critical studies of big data, arranged glossary style—from abuse and aggregate to visualizatio…
Traceability
This glossary entry explores traceability which is an increasingly prominent research topic in decentralised technosocial systems in fields as diverse as health, sustainability, finance, and supply chain management and relates to the ability to trace something or someone
Crisis times
The ethics and politics of data sets in the age of machine learning
Individuals and communities increasingly depend on, and fill their lives with, machine cultures, in the form of both interfaces and infrastructures. This global push for machine cultures has given rise to an increasing demand for data and engendered a proliferation of public, private and public-private dataset repositories. While datasets form a foundational element of machine cultures, they rarely come into focus as objects of critical study. Bu…
Politics of data reuse in machine learning systems
Policy discussions and corporate strategies on machine learning are increasingly championing data reuse as a key element in digital transformations. These aspirations are often coupled with a focus on responsibility, ethics and transparency, as well as emergent forms of regulation that seek to set demands for corporate conduct and the protection of civic rights. And the Protective measures include methods of traceability and assessments of 'good'…
Desiloization and its discontents
This essay explores how desiloization strategies facilitate the emergence and increasing centralization of private platform power, rather than flattening and democratizing access to and control over data. Drawing on both an original genealogy of desiloization discourses and a case study of the World Bank’s evolving approach to desiloization, we show how the slipperiness of the notion of ‘silos’ obscures the way desiloization efforts reinforce the…
Stack bricolage and infrastructural impermanence in financial machine-learning modelling
Hoping that the promises of machine-learning can be realised in financial markets, investment management and trading firms increasingly employ machine-learning techniques to extract exploitable informational edge from large datasets. In addition to heavy investments in technology and the human resources capable of manipulating it, this development has led to increased use of open-source machine-learning and data-management resources. Drawing on 4…
“Argh! The World Doesn't Fit the Model!”
This article examines how data annotation in news organizations serves as a site of friction and world-making, shaping how AI systems categorize and interpret journalism. Through an ethnographic study in a Danish news organization, we identify three interrelated sites of friction: taxonomic constructions, organizational infrastructures, and aspirational realities. Rather than a neutral task, annotation is a contested process where journalistic ep…
The Algorithmic Gut Feeling – Articulating Journalistic Doxa and Emerging Epistemic Frictions in AI-Driven Data Work
This article explores the epistemic practices and doxa of data workers in a news organisation in Denmark that is currently developing and experimenting with artificial intelligence (AI)-driven recommender systems, machine learning and natural language processing solutions. Previous literature on the changing epistemologies of digital journalism has focused on the increased role of metrics and the transformed practices inside newsrooms, as well as…
Citizens’ data afterlives
Public sector adoption of AI techniques in welfare systems recasts historic national data as resource for machine learning. In this paper, we examine how the use of register data for development of predictive models produces new ‘afterlives’ for citizen data. First, we document a Danish research project’s practical efforts to develop an algorithmic decision-support model for social workers to classify children’s risk of maltreatment. Second, we o…
The political economy of platformed silos
Interoperability has become a prominent topic in contemporary discourses around digital infrastructures in fields as diverse as security, finance, health, and communication. Common to these discourses are two views: first, that interoperability encompasses desiloization, i.e. the breaking down of barriers between disjoint data silos, and second, that interoperability is de facto good for users of digital platforms. This commentary challenges the …
Machine unlearning and the politics of algorithmic forgetting
Machine unlearning has emerged as a technical response to demands that AI systems remove the influence of unwanted data. Drawing on critical readings of technical literature and theories of cognitive assemblages, archives, and forgetting, in this article we examine the technical promise of machine unlearning as an ethico-political practice of epistemic reconfiguration. We identify three interwoven logics: influence mitigation through parameter re…
Towards a new paradigm of “datafied development”
Development is broadly defined as progressive change or improvement in human wellbeing through multifaceted approaches, such as infrastructure enhancement, trade and investment, access to decent work, skills development, and social inclusion. It is increasingly entangled with data-centric practices and digital infrastructures like artificial intelligence systems, platforms, the internet, computers, and mobile phones. This trend warrants attention…
The datafied web
Following the 6th RESAW conference held at the University of Siegen in June 2025, we extended the conversation through follow-up discussions with selected participants, including both keynote speakers, Nanna Bonde Thylstrup and Jonathan W. Y. Gray. This round-doc discussion brings them into dialogue with Miglė Bareikytė, Carolin Gerlitz, Sebastian Giessmann, Anne Helmond, and Ian Milligan, creating a space for interdisciplinary exchange. It re-ex…
Computer Science (17 obras) · Sociology (14 obras) · Political science (10 obras) · Ethics and Social Impacts of AI (9 obras) · Law (8 obras) · Politics (8 obras) · Art (6 obras) · Data science (6 obras) · Epistemology (6 obras) · Digital Media and Philosophy (5 obras)