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UID:www.tcs.tifr.res.in/event/714
DTSTAMP:20230914T125935Z
SUMMARY:Economics and Computation
DESCRIPTION:Speaker: Swaprava Nath (Carnegie Mellon University\nDepartment 
 of Computer Science\n5000 Forbes Avenue\nPittsburgh PA 15213\nUnited State
 s of America)\n\nAbstract: \nHow should a group of friends decide which mo
 vie to watch together or which restaurant to go for dinner? How should a m
 unicipal corporation decide which set of public projects to undertake? How
  can a organizational committee allocate its funds for a set of projects t
 hat yields the maximum social welfare? Can we provide a performance guaran
 tee for these decisions? The research in the intersection of economics and
  computation has interesting solutions for them.\n\nArtificial intelligenc
 e (AI) deals with building systems or machines that take efficient decisio
 ns like the humans. In a setting where multiple such decision making human
 /automated agents interact\, we need to design both a robust system that p
 rovides certain performance guarantees as well as help the agents to take 
 efficient collective decisions. My research considers the multi-agent syst
 ems from two complementary viewpoints: (1) design protocols that are robus
 t against any strategic manipulations\, and (2) use AI to assist the human
  agents make provably efficient collective decisions. In both these settin
 gs\, individual agents have some private information which needs to be rev
 ealed in order to take an efficient decision. My research in the first the
 me considers how we can design mechanisms that motivates individuals to re
 veal their private information truthfully and provide the limits of achiev
 ability of certain desirable properties. In the second theme\, even if the
  individuals had the best intention of taking the efficient collective dec
 ision\, their limitations of information revelation restricts the efficien
 cy. My research in this theme provides recommendation of the format of inf
 ormation extraction and gives provable guarantees to efficient decision ma
 king. In this talk\, I am going to provide examples and present my recent 
 results in each of these two themes.\n\nBio: Swaprava is a post-doctoral f
 ellow at the Computer Science Department\, Carnegie Mellon University. Ear
 lier\, he was a Lecturer and Post-doctoral Fellow at the Economics and Pla
 nning Unit\, Indian Statistical Institute\, New Delhi. He completed his Ph
 D from the Dept. of Computer Science and Automation\, Indian Institute of 
 Science\, Bangalore. His research interest lies in the intersection of eco
 nomics and computation\, applications of which are prevalent in Internet e
 conomics\, multi-agent systems\, crowdsourcing\, resource allocation\, com
 putational voting\, information networks. He has been recipients of Fulbri
 ght-Nehru Post-doctoral Fellowship\, Tata Consultancy Services PhD Fellows
 hip\, and Honorable Mention Award of Yahoo! Key Scientific Challenges Prog
 ram.\n \n
URL:https://www.tcs.tifr.res.in/web/events/714
DTSTART;TZID=Asia/Kolkata:20160923T160000
DTEND;TZID=Asia/Kolkata:20160923T170000
LOCATION:A-201 (STCS Seminar Room)
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