The conference explores political epistemologies of big data. Political epistemologies are practices by which societies construct politically relevant knowledge and the criteria by which they evaluate it. Big data is the practice of deriving socially relevant knowledge from massive and diverse digital trace data. Practices such as “big data analysis”, “web scraping”, “opinion mining”, “sentiment analysis”, “predictive analytics”, and “nowcasting” seem to be common currency in the public and academic debate about the present and future of evidence-based policy making and representative democracy.
Political elites see digital technologies as sources of new and better tools for learning about the citizenry, for increasing political responsiveness and for improving the effectiveness of policies. Political parties and advocacy groups use digital data to address citizens and muster support in a targeted manner; public authorities try to tailor public policy to public sentiment measured-online, forecast and prevent events (as in predictive policing, preemptive security and predictive healthcare), and continuously adapt policies based on real-time monitoring. An entire industry of policy consultants and technology companies thrives on the promise related to the political power of digital data and analytics. And finally, academic research engages in digitally enhanced computational social sciences, digital methods and social physics on the basis of digital trace data, machine learning and computer simulations.
Scholars from various disciplines will carve out the political epistemologies and practices underlying the use of big data and related phenomena such as algorithms, machine learning and artificial intelligence in political contexts. They will point out interpretive conflicts with regard to the knowledge produced and legitimized by digital technologies and provide reflections from historical perspective. Finally, the democratic implications of digitally mediated political epistemologies and regulatory approaches will be discussed.
The keynote will be held by professor Daniel Kreiss, the author of a seminal book about the use of data-related practices in political campaigning (“Prototype Politics” 2016). The conference will also include artistic interventions and a lab and will be video-recorded. The organizers will offer childcare upon request, please send a message to demosscraping-weizenbaum[at]wzb.eu
Organizers: Research Group Quantification and Social Regulation (Weizenbaum Institute for the Networked Society), DVPW Working Group “Digitalization and Politics” and WZB Berlin Social Science Center.
Responsible: Dr. Lena Ulbricht demosscraping-weizenbaum[at]wzb.eu
Monday, 8 July 2019
1.00 p. m. Registration and lunch
2.00 p. m. Welcome address by Dr. Lena Ulbricht (Video)
2.15 p. m. Keynote by Prof. Dr. Daniel Kreiss and discussion (Video)
3.30 p. m. Coffee
4.00 p. m. Paper presentations I
5.30 p. m. Lab and art exhibition (will be open throughout the conference). Art project and presentation “Smile to Vote – biometric profiling of political orientation” by Alexander Peterhaensel
6.30 p. m. Reception
Tuesday, 9 July 2019
9.00 a. m. Paper presentations II
10.30 a. m. Coffee
11.00 a. m. Paper presentations III
12.30 p. m. Roundtable with practitioners: Pencho Kuzev, Konrad Adenauer Foundation; Nils Leopold, Green Party; Bernd Schlömer, Free Democrats Berlin; Marc Schütz, Polit-X; Moderator: Lena Ulbricht, Weizenbaum Institute
2.00 p. m. End [brownbag lunches provided]
WZB Berlin Social Science Center, Reichpietschufer 50, 10785 Berlin
14:00 - 14:00 Uhr
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