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SUMMARY:Privacy Trading in the Apps and IoT Age: Markets and Computation -
  Ranjan Pal (USC)
DTSTART:20181025T140000Z
DTEND:20181025T150000Z
UID:TALK111583@talks.cam.ac.uk
CONTACT:Marco Caballero
DESCRIPTION:Abstract: In the era of the mobile apps and IoT\, huge quantit
 ies of data about individuals and their activities offer a wave of opportu
 nities for economic and societal value creation. However\, the current per
 sonal data ecosystem is fragmented and inefficient. On one hand\, end-user
 s are not able to control access (either technologically\, by policy\, or 
 psychologically) to their personal data (currently only possible for GDPR 
 regulated countries) which results in issues related to privacy\, personal
  data ownership\, transparency\, and value distribution. On the other hand
 \, this puts the burden of managing and protecting user data on apps and a
 d-driven entities (e.g.\, an ad-network) at a cost of trust and regulatory
  accountability. In such a context\, data holders (e.g.\, apps) may take a
 dvantage of the individuals’ inability to fully comprehend and anticipat
 e the potential uses of their private information with detrimental effects
  for aggregate social welfare (e.g.\, Facebook-Cambridge Analytica\, and G
 mail case studies). In this talk\, we investigate the problem of the exist
 ence and computationally efficient engineering design of efficient market 
 ecosystems (and their subsequent implications to law and policy) that aim 
 to achieve a maximum social welfare state among competing data holders by 
 preserving the heterogeneous privacy preservation constraints up to certai
 n compromise levels\, induced by their clients\, and at the same time sati
 sfying requirements of agencies (e.g.\, advertising organizations) that co
 llect and trade client data for the purpose of targeted advertising\, assu
 ming the potential practical inevitability of some amount inappropriate da
 ta leakage on behalf of the data holders.\n\nBio: Ranjan Pal is a visiting
  researcher in the department of Computer Science and Technology at the Un
 iversity of Cambridge\, hosted by Prof. Jon Crowcroft. Prior to this\, he 
 was a Research Scientist at the University of Southern California (USC)\, 
 where he was affiliated with both the Electrical Engineering and Computer 
 Science departments. Ranjan has also been on the visiting faculty at the I
 ndian Institute of Technology Delhi (EE/CS)\, Indian Institute of Manageme
 nt Ahmedabad\, and Indian Institute of Management Calcutta. His primary re
 search interests lie in the applications of applied mathematics tools from
  data science\, economics\, game theory\, and decision science to problems
  in cyber-security\, privacy\, and blockchain-driven resource management i
 n distributed systems. Ranjan received his PhD in Computer Science  from U
 SC in 2014\, and was the recipient of the Provost Fellowship throughout hi
 s PhD studies. During his graduate studies\, Ranjan held research scholar 
 positions at Princeton University\, Deutsch Telekom Research Laboratories 
 (T-Labs) Berlin\, Massachusetts Institute of Technology\, National Univers
 ity of Singapore\, University of California\, and Aalborg University. His 
 research on cyber-insurance (the first ever Ph.D on cyber-insurance for in
 ter-networked systems) to improve cyber-security has appeared in the USC N
 ews. Ranjan has also consulted for various companies on cyber-insurance\, 
 and is currently a technical advisor to QxBranch  He is a member of the IE
 EE\, ACM\, American Mathematical Society (AMS)\, and the Game Theory Socie
 ty.
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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