Complexity and Simplicity in Economics
Organizers:
The growth of the Internet over the past decades has enabled the advent of economic systems of previously unthinkable speed and complexity, generating enormous economic efficiencies. At the same time, these systems are so complex that it may be hard for humans or even computers to reason about them and make optimal economic decisions. Thus, economic systems and mechanisms need to be designed and analyzed from the combined perspectives of economic and computational efficiency. Ideal economic systems must still remain simple enough for human participants to understand, and must tackle hard problems that could not be solved perfectly even with all the currently available computing power. The goal of this workshop is to bring together researchers—from Computer Science, Economics, Game Theory and Operations Research, from academia and industry—to jointly study different notions of complexity and of simplicity in a variety of economic settings.
Enquiries may be sent to the organizers workshop_economics1 [at] lists.simons.berkeley.edu (at this address.)
Mohammad Akbarpour (University of Chicago), Larry Blume (Cornell University and IHS), Simina Branzei (Aarhus University), Ben Brooks (University of Chicago), Yang Cai (McGill University), Gabriel Carroll (Stanford University), Shuchi Chawla (University of Wisconsin-Madison), Xi Chen (Columbia University), Giorgos Christodoulou (University of Liverpool), Richard Cole (New York University), Vincent Conitzer (Duke University), Xiaotie Deng (Shanghai Jiao Tong University), Nikhil Devanur (Microsoft Research Redmond), Shahar Dobzinski (Weizmann Institute of Science), Shaddin Dughmi (University of Southern California), Edith Elkin (University of Oxford), Michal Feldman (Tel Aviv University), Amos Fiat (Tel Aviv University), Vasilis Gkatzelis (Stanford University), Ashish Goel (Stanford University), Kira Goldner (University of Washington), Ben Golub (Harvard University), Nima Haghpanah (MIT), Li Han (University of Southern California), Sergiu Hart (Hebrew University of Jerusalem), Jason Hartline (Norhtwestern University), Nicole Immorlica (Microsoft Research New England), Pooya Jalaly (Cornell University), Ramesh Johari (Stanford University), Ravi Kannan (Microsoft Research India), Yash Kanoria (Columbia Business School), Anna Karlin (University of Washington), Andrew Kephart (Duke University), Ilias Koutsoupias (University of Oxford), Kevin Leyton-Brown (University of British Columbia), Shengwu Li (Stanford University), Katrina Ligett (California Institute of Technology), Brendan Lucier (Microsoft Research), Thodoris Lykouris (Cornell University), Ruta Mehta (Georgia Institute of Technology), Paul Milgrom (Stanford University), Evdokia Nikolova (Texas A&M University), Sigal Oren (Ben Gurion University), Mallesh Pai (University of Pennsylvania), Christos Papadimitriou (UC Berkeley), Georgios Piliouras (Singapore University of Technology and Design), Aaron Roth (University of Pennsylvania), Tim Roughgarden (Stanford University), Daniela Saban (Columbia University), Ella Segev (Ben Gurion University of the Negev), Chris Shannon (UC Berkeley), Balu Sivan (Microsoft Research), Vasilis Syrgkanis (Microsoft Research), Pingzhong Tang (Tsinghua University), Christos Tzamos (MIT), Bernhard von Stengel (London School of Economics), Matt Weinberg (Princeton University), James Wright (University of British Columbia), Lirong Xia (Rensselaer Polytechnic Institute), Andrew Yao (Tsinghua University), Emmanouil Zampetakis (MIT)
