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Alessandro
Acquisti |
Bio and CV |
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Alessandro
Acquisti is an Associate Professor of Information Systems and Public Policy
at the Heinz College, Carnegie Mellon University (CMU), and a member of
Carnegie Mellon CyLab. He is the co-director of CMU
Center for Behavioral Decision Research (CBDR), and a member of the National
Academies' Committee on public response to alerts and warnings using social
media and associated privacy considerations. He has held visiting positions
at the Universities of Rome, Paris, and Freiburg (visiting professor);
Harvard University (visiting scholar); and Microsoft Research (visiting
researcher). Alessandro's
research investigates the economics of privacy. His studies have spearheaded
the application of behavioral economics to the analysis of privacy and
information security decision making, and the analysis of privacy risks and
disclosure behavior in online social networks. His manuscripts have been
published in journals across several disciplines (including the Proceedings
of the National Academy of Science, the Journal of Consumer Research, the
Journal of Marketing Research, Marketing Science, Information Systems
Research, the Journal of Comparative Economics, and ACM Transactions), as
well as edited books, conference proceedings, and numerous international
keynotes. Alessandro has been the recipient of the PET Award for Outstanding
Research in Privacy Enhancing Technologies, the IBM Best Academic Privacy
Faculty Award, multiple Best Paper awards, and the Heinz College School of
Information's Teaching Excellence Award. His research has been supported by
awards and grants from the National Science Foundation, the Transcoop Foundation, Microsoft, and Google. Alessandro
has testified in Congress on issues related to privacy policy and consumer
behavior, and participated in policy-finding activities of the Federal Trade
Commission, DARPA, the European Network and Information Security Agency, and
various national privacy commissioner authorities. In 2009, he was the
invited co-chair of the cyber-economics track at the National Cyber Leap Year
Summit, as part of the NITRD Program, under guidance from the White House's
Office of Science and Technology Policy. Alessandro's
findings have been featured in national and international media outlets,
including the Economist, the New York Times, the Wall Street Journal, the
Washington Post, the Financial Times, Wired.com, NPR, and CNN. His 2009 study
on the predictability of Social Security numbers (SSNs) was featured in the
“Year in Ideas” issue of the NYT Magazine (the SSNs assignment scheme was
later changed by the US Social Security Administration in 2011). Following
his study on face recognition and online social networks, in December 2011
Alessandro was invited to participate in an ad hoc Federal Trade Commission’s
Forum on Facial Recognition Technology. Alessandro
holds a PhD from UC Berkeley, and Master degrees from UC Berkeley, the London
School of Economics, and Trinity College Dublin. While at Berkeley, he
interned a Xerox PARC and Riacs, NASA Ames. In a previous life, Alessandro worked as classical music producer and label manager (PPMusic.com) and as freelance arranger, lyrics writer, and soundtrack composer for theatre, television, and independent cinema productions (including works for BMG Ariola/Universal and Italy’s RAI 3 national television). He has raced a Yamaha TZ 125 motorcycle in the USGPRU national championship.
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