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….

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…

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…

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…

12-04-2022 @ 13:00 – 17:00 – *** Due to circumstances this workshop has been cancelled on April 12, the replacement workshop will be given on May 24. *** In this workshop, Jeroen Bakker, junior researcher at Utrecht Data School, will introduce you to network analysis and visualization using Gephi. After this hands-on session, you will be able to conduct a network […]

03-05-2021 @ 15:30 – 17:30 – As part of the Digital Methods reading group we welcome Sal Hagen and Emillie de Keulenaar of Open Intelligence Lab (“data is the new oil making sense of new political currents in the digital sphere.”) to discuss their work. As always we will focus on the contributions and epistemological consequences of data science and computational […]

DEDA helps data analysts, project managers and policy makers to recognize ethical issues in data projects, data management and data policies.

This toolkit helps to streamline and formalize the ethical considerations and accountability process around algorithms. BIAS is being developed in collaboration with several municipalities.

In a time of Covid-19 we had to develop alternative ways to facilitate data walks so we developed the Data Scan @ Home. This interactive PDF facilitates observation and reflection on data, encourages relating personal experiences to public debate and operates as a starting point for discussion with others. Download Data Scan @ Home

A tool that (novice) data project teams can use to conduct an inspection to obtain an accurate survey of their collaboration.