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UID:494-199@badw.de.devweb.mwn.de
CLASS: PUBLIC
SUMMARY:Privacy in the Digital Age: Who Benefits from the Data Economy?
DESCRIPTION:Alessandro Acquisti is a Professor of Information Technology an
 d Public Policy at the Heinz College, Carnegie Mellon University (CMU) and 
 an Andrew Carnegie Fellow (inaugural class). He is the director of the Peex
  (Privacy Economics Experiments) lab at CMU and the co-director of CMU CBDR
  (Center for Behavioral and Decision Research). His research interests lie 
 at the overlap of information technology, society, and economics. They incl
 ude, primarily, the economics and behavioral economics of privacy and infor
 mation security, and privacy in online social networks. Prof. Acquisti inte
 rested in the economic impact of privacy protection and privacy intrusions,
  the relations between privacy and economic rationality, and the dichotomy 
 between expressed privacy attitudes and actual revealed behavior. Abstract 
 of Professor Acquisti’s keynote speech: In the recent policy debate over pr
 ivacy, the protection of personal information is often set against the bene
 fits society is expected to gain from large scale analytics applied to indi
 viduals‘ data. An implicit assumption appears to underlay such a dichotomy 
 between privacy and ‚big data‘: economic research is assumed to predict tha
 t the increasing collection and analysis of personal data will be welfare-i
 ncreasing for data holders and data subjects alike. I will work from within
  traditional economic frameworks to scrutinize this notion. In so doing, I 
 will highlight how results from economic research on data sharing and data 
 protection paint a much more nuanced picture, and how both traditional econ
 omic models and behavioral economic research do not necessarily predict tha
 t more data sharing, and less privacy protection, univocally lead to increa
 ses in individual or aggregate welfare. Dieser Vortrag wird in Englisch sta
 ttfinden. Wir bitten um Anmeldung über per eMail (events@mcir.digital). Thi
 s event will be held in Englich.
LOCATION:Bayerische Akademie der Wissenschaften
DTSTAMP:20251111T140042Z
DTSTART:20160616T160000Z
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