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 April 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 …

03 May 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 …

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

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.

The ‘Sharing data together’ checklist offers guidance to organisations wishing to share data responsibly.

Helps organisations give meaning to dashboards by facilitating a discussion based on given propositions.

Survey to measure moral sensitivity to data practices within an organisation.

This module explores what role bots can have as infrastructural stress relievers, by actively engaging with the norms and values inscribed into computational tools and infrastructures.

This tool helps teams to shape their digital cooperation in a meaningful way during and after the COVID-19 pandemic.

Tool to help people’s representatives within a municipality to make a value judgement on a data-related proposal and to learn to ask critical questions about such proposals.