UPDATE: Final schedule posted! Download at

Date: June 11, 2019

Time: 14:00 - 18:00 (2pm - 6pm)


Bavarian School of Public Policy @ Technical University of Munich
Richard-Wagner-Straße 1
80333 Munich
Tel.: +49 89 907 793 0

Note 1: in German, “ß” = “ss”, so “straße” = “strasse” (street). It will also work to search for “Richard-Wagner-Strasse 1, Munich”. 

Note 2: the German name is “Hochschule für Politik München”, which would be translated as ”Munich College of Political Science” (and which is what appears on Google maps), but the official English name is instead the “Bavarian School of Public Policy”. If in doubt, search for Richard-Wagner-Strasse 1, Munich. 


Final Schedule (PDF version at

Programme Time Description
Introduction 14.00 – 14.15

Framing, objectives, and format

Participant introductions 14.15 – 14.30 One-sentence intro from participants about what brings them here
Politics 14.30 – 14.40 Reimaging Data Science as a Political Space
Philippe Saner (Department of Sociology, University of Lucerne, Switzerland)
14.40 – 14.50 AI for Not Bad
Jared Moore (Wadhwani Institute for Artificial Intelligence, India)
14.50 – 15.00 Researching Chavismo in a Convoluted Venezuela
Parvati Subbiah (University of Chicago, US)
Discussion 15:00 – 15:15  
Practice 15.15 – 15.25

Towards a More Holistic Data Practice
Jaclyn Sawyer (Breaking Ground, New York City and Columbia University, US)

15.25 – 15.35 Visual Anonymity and Data Privacy
Tea Brašanac (Ektimo, Slovenia)
Discussion 15.35 – 15.45

How do we forge cross-sector communities and support one another?

Break 15.45 – 16.15  
Action 16.15 – 16.25

Data for Diversity-Aware and Non-Discriminatory Technology: Ethical Questions from the Project WeNet – the Internet of Us
Laura Schelenz (International Center for Ethics in the Sciences and Humanitites, University of Tübingen, Germany)

16.25 – 16.35 Reflections on Gender Analyses of Bibliographic Corpora
Helena Mihaljević (University of Applied Sciences, Germany), Marco Tullney (German National Library of Science and Technology), Lucía Santamaría (Amazon Development Center, Germany), Christian Steinfeldt (University of Applied Sciences, Germany)
16.35 – 16.50 Experimenting with Algorithmic Memory-Making: Lived Experience and Future-Oriented Ethics in Critical Data Science
Annette Markham and Gabriel Pereira (Arhaus University, Denmark)
Discussion 16.50 – 17.10 Where do we take action, and what action should we take?
Mini-break 17:10 – 17:15  
Conclusion 17.15 – 17.45 Incentives, structures, and organizing
Wrap-up 17.45 – 18.00 Summary and future directions

Attendees (Preliminary)

Pablo Aragón (Universitat Pompeu Fabra)
Jack LaViolette
Wulf Loh (PostDoc Researcher, IZEW University of Tübingen)
Prof. Dr. Ricardo Rohm (Federal University of Rio de Janeiro)
Michael Miller Yoder (Carnegie Mellon University)
Pablo Velasco (University of Aarhus)
Cristian Consonni (University of Trento)
Andrew Mauboussin (Twitter)
Verena van Zyl-Bulitta (IASS Potsdam, Univ. Leipzig)



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