Centre for Digital Humanities

Data School

New name for Utrecht Data School: Data School

From 1 May 2023 onwards, the Utrecht Data School will have a new name and logo. Utrecht Data School will continue under the name Data School and the logo will be adapted to Utrecht University’s latest style guidelines. Why ‘Data School’? Utrecht University’s brand policy stipulates that names of organisational units may no longer contain the…

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TikTok’s recommendation algorithm is harmful to people prone to eating disorders – Research by Data School

Together with news magazine De Groene Amsterdammer and television news service RTL Nieuws, Data School conducted research into TikTok’s recommendation algorithm. The researchers created 12 automated accounts that started with an initial interest in dieting, fitness, or slim women; within half an hour they spiraled into a constant stream of videos relating to eating disorders. “The happiest place on earth”,…

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Data School at #PrivacyCamp23

On January 25, Data School attended a panel in the 11th edition of Privacy Camp in Brussels. Privacy Camp is an annual conference that brings together digital rights advocates, activists, academics and policy-makers from all around Europe and beyond to discuss the most pressing issues facing human rights online. The panel to which the Data…

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CDH Workshop: Getting started with network visualization – introductory Gephi course for humanities staff

21 March 2023 @ 13:00 – 17:00 – In this workshop, Jeroen Bakker, junior researcher at Utrecht Data School, and Sander Prins, teaching and research assistant, will introduce you to network analysis and visualization using Gephi. After this hands-on session, …

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Vacature onderzoeksassistent ‘Journalistiek & Democratie: Coronaberichtgeving’

Voor een interdisciplinair onderzoeksproject binnen de context van de AI Labs Digital Humanities zoekt de Utrecht Data School (UDS) een onderzoeksassistent voor 0,25 fte vanaf 1 december 2022, voor 10 maanden. Het salaris is in lijn met dat van een student-assistent. De UDS zoekt iemand met datavaardigheden die kan helpen bij het analyseren van coronaberichtgeving…

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BOLD Profiler – an application to track bias in linked open data

With a grant from the SIDN Fund, the Utrecht Data School built the BOLD Profiler. This application detects bias in commonly used knowledge bases such as Wikidata. Disinformation is not always spread with a deliberate plan, but can also (unintentionally) originate from incorrect information, missing data or misrepresentation. For example, Wikidata is considered very reliable,…

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Mirko Schäfer appointed Visiting Professor to University of Helsinki

For the coming three years, CDH programme team member Mirko Schäfer has been appointed Visiting Professor at the Helsinki Institute of Social Sciences and Humanities (HSSH). Developing the Utrecht Data School at Utrecht University, Mirko Schäfer has built a track-record of societally engaged research for inquiring datafication and algorithmization at government organisation in the Netherlands….

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Utrecht Data School and De Groene Amsterdammer win ‘Tegel’ award

The article ‘Misogynie als politiek wapen’, a collaboration between Joris Veerbeek and Sahra Mohamed (Utrecht Data School) and Coen van de Ven and Karlijn Saris (De Groene Amsterdammer), has won a ‘Tegel’ in the category ‘CBS Data’. The Tegel is the most important Dutch award for journalism. The Utrecht Data School (UDS) regularly collaborates with…

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Utrecht Data School joins CDH

Starting March 1st, 2022, Utrecht Data School (UDS) will become part of the Centre for Digital Humanities (CDH) at Utrecht University under the joint deanship of the Faculty of Science and the Faculty of Humanities.  Investigating the implications of AI and datafication for our digital society requires concerted interdisciplinary and transdisciplinary efforts. Over the past years, UDS developed collaborative projects with societal…

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Vacancy: knowledge and data engineer

The Utrecht Data School and the department of Computer Science at Utrecht University are looking for a ‘knowledge and data engineer’ for a project on Bias in Open Knowledge Graphs. Deadline to respond is February 25, 2022. Job description The candidate will develop an application to automatically detect the different kinds of bias in Linked…

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