Louis Ravn
Biographic Data
| ID | 2744718 |
|---|---|
| NAME | Louis Ravn |
| GIVEN NAMES | Louis |
| FAMILY NAME | Ravn |
| SIGNATURE | RAVN L |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0009-0005-4303-6905 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
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
Digital Humanitarianism
In this interview, Fleur Johns elucidates the central themes of her recent book #Help: Digital Humanitarianism and the Remaking of International Order. Situating her research alongside well-established critical analyses of digital platforms and algorithms, Johns elaborates on the distinctive characteristics of digital humanitarianism, how these can be studied through digital interfaces, and the politics of Big Tech’s involvement in this transform…
Towards synthetic data justice for development
The rise of synthetic data has begun to inspire novel data-driven projects in highly sensitive development contexts. For example, a collaboration between the UN's International Organization for Migration and Microsoft Research has resulted in the release of four “Global Synthetic Datasets” (GSDs) on human trafficking—the 2025 iteration of which contains information on over 222,000 trafficking survivors. These datasets are expected to support the …
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 …
The fabrication of synthetic data promises
Synthetic data, denoting artificially produced data that are used for data science tasks, are increasingly held as a promising solution to digital societies' predicaments. While burgeoning research has investigated the implications of synthetic data, the fabrication of synthetic data promises remains understudied. This article draws on the sociology of expectations and the concept of boundary work to interrogate emerging arenas of expectations an…
Synthetic Training Data and the Reconfiguration of Surveillant Assemblages
Synthetic training data promise considerable performance improvements in machine learning (ML) surveillance tasks, including such applications as crowd counting, pedestrian tracking, and face recognition. In this context, synthetic training data constitute techno-fixes primarily by virtue of acting as “edge cases”—data that are hard to come by in the “real world” yet straightforward to produce synthetically—which are used to enhance ML systems’ r…
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
The fabrication of synthetic data promises
Synthetic data, denoting artificially produced data that are used for data science tasks, are increasingly held as a promising solution to digital societies' predicaments. While burgeoning research has investigated the implications of synthetic data, the fabrication of synthetic data promises remains understudied. This article draws on the sociology of expectations and the concept of boundary work to interrogate emerging arenas of expectations an…
Synthetic Training Data and the Reconfiguration of Surveillant Assemblages
Synthetic training data promise considerable performance improvements in machine learning (ML) surveillance tasks, including such applications as crowd counting, pedestrian tracking, and face recognition. In this context, synthetic training data constitute techno-fixes primarily by virtue of acting as “edge cases”—data that are hard to come by in the “real world” yet straightforward to produce synthetically—which are used to enhance ML systems’ r…
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
Synthetic Training Data and the Reconfiguration of Surveillant Assemblages
Synthetic training data promise considerable performance improvements in machine learning (ML) surveillance tasks, including such applications as crowd counting, pedestrian tracking, and face recognition. In this context, synthetic training data constitute techno-fixes primarily by virtue of acting as “edge cases”—data that are hard to come by in the “real world” yet straightforward to produce synthetically—which are used to enhance ML systems’ r…
Digital Humanitarianism
In this interview, Fleur Johns elucidates the central themes of her recent book #Help: Digital Humanitarianism and the Remaking of International Order. Situating her research alongside well-established critical analyses of digital platforms and algorithms, Johns elaborates on the distinctive characteristics of digital humanitarianism, how these can be studied through digital interfaces, and the politics of Big Tech’s involvement in this transform…
Towards synthetic data justice for development
The rise of synthetic data has begun to inspire novel data-driven projects in highly sensitive development contexts. For example, a collaboration between the UN's International Organization for Migration and Microsoft Research has resulted in the release of four “Global Synthetic Datasets” (GSDs) on human trafficking—the 2025 iteration of which contains information on over 222,000 trafficking survivors. These datasets are expected to support the …
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 …
The fabrication of synthetic data promises
Synthetic data, denoting artificially produced data that are used for data science tasks, are increasingly held as a promising solution to digital societies' predicaments. While burgeoning research has investigated the implications of synthetic data, the fabrication of synthetic data promises remains understudied. This article draws on the sociology of expectations and the concept of boundary work to interrogate emerging arenas of expectations an…
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
Computer Science (3 works) · Water Governance and Infrastructure (2 works) · Art (1 works) · Big data (1 works) · Blockchain Technology Applications and Security (1 works) · Boundary-work (1 works) · Business (1 works) · Business Process Modeling and Analysis (1 works) · Control reconfiguration (1 works) · Corporate governance (1 works)