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DTSTAMP:20260622T090440Z
SUMMARY:„Scraping the Demos“: Political Epistemologies of Big Data
DESCRIPTION:The conference explores political epistemologies of big data. P
 olitical epistemologies are practices by which societies construct politic
 ally relevant knowledge and the criteria by which they evaluate it. Big da
 ta is the practice of deriving socially relevant knowledge from massive an
 d 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 di
 gital technologies as sources of new and better tools for learning about t
 he citizenry\, for increasing political responsiveness and for improving t
 he effectiveness of policies. Political parties and advocacy groups use di
 gital data to address citizens and muster support in a targeted manner\; p
 ublic authorities try to tailor public policy to public sentiment measured
 -online\, forecast and prevent events (as in predictive policing\, preempt
 ive security and predictive healthcare)\, and continuously adapt policies 
 based on real-time monitoring. An entire industry of policy consultants an
 d technology companies thrives on the promise related to the political pow
 er 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 c
 omputer simulations.
DTSTART;TZID=Europe/Berlin:20190708T130000
DTEND;TZID=Europe/Berlin:20190709T140000
LOCATION:Reichpietschufer 50 \, Berlin (Germany) 
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DESCRIPTION:„Scraping the Demos“: Political Epistemologies of Big Data
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