November 6-9, 2023 in Berkeley, California
Simons Laufer Mathematical Sciences Institute (SLMath)

Priority Funding Application Deadline: August 31, 2023

Established researchers, postdoctoral fellows, and graduate students in all related fields and industry are invited to join world-renowned mathematicians, computer scientists, economists, and other experts at the Simons Laufer Mathematical Sciences Institute (SLMath), formerly MSRI, in Berkeley, California at „Algorithms, Approximation, and Learning in Market and Mechanism Design“ from November 6-9, 2023.

Workshop registration is open for both in-person and online-only attendees. Those who plan to attend via Zoom only will receive workshop links in advance of the event. Registration is open through the event dates.

SLMath workshops are free of charge to attend, thanks to the generous support of our funders, including the National Science Foundation and the Alfred P. Sloan Foundation.

Register Online

Algorithms, Approximation, and Learning in Market and Mechanism Design

In recent years, economists and computer scientists have collaborated with mathematicians, operations research experts, and practitioners to improve the design and operations of real-world marketplaces. Such work relies on robust feedback between theory and practice, inspiring new mathematics closely linked – and directly applicable – to market and mechanism design questions.

This workshop is aimed at exploring core subjects in the field of market and mechanism design, such as the design of non-convex auction markets, the design of matching markets with preferences, algorithmic mechanism design, and learning in games. These topics are interrelated and deeply rooted in mathematics and computer science. Each day of the 4-day workshop is devoted to one of these topics with talks by leading scholars in the field and panel discussions on major open problems.

Workshop Organizers: Martin Bichler (Technical University of Munich), Péter Biró (KRTK, Eotvos Lorand Research Network)

Featured Workshop Presenters & Panelists

View Workshop Schedule

Monday, November 6, 2023: Matching Markets without Money

  • Jiehua Chen (Technische Universität Wien)
  • Federico Echenique (University of California, Berkeley)
  • David Manlove (University of Glasgow)
  • Alvin E. Roth (Stanford University)
  • Jaychandran Sethuraman (Columbia University)

Tuesday, November 7, 2023: Non-Convex Auction Markets

  • Elizabeth Baldwin (Merton College, University of Oxford)
  • Paul Milgrom (Stanford University)
  • Shmuel Oren (University of California, Berkeley)
  • Rakesh Vohra (University of Pennsylvania)
  • Yinyu Ye (Stanford University)

(Attendee reception follows Tuesday’s events)

Wednesday, November 8, 2023: Algorithmic Mechanism Design

  • Dirk Bergemann (Yale University)
  • Michal Feldman (Tel-Aviv University)
  • Jason Hartline (Northwestern University)
  • Roger Myerson (University of Illinois, Chicago)
  • Sigal Oren (Ben Gurion University of the Negev)

Thursday, November 9, 2023: Learning in Games and Markets

  • Martin Bichler (Technical University of Munich)
  • Michael Jordan (University of California)
  • Ioannis Panageas (University of California, Irvine)
  • Tuomas Sandholm (Carnegie Mellon University)
  • Eva Tardos (Cornell University)

Funding Support & Resources for Workshop Attendees

Funding applications submitted by the priority deadline receive full consideration; later applications are subject to remaining funds. Awards are typically made eight weeks before the workshop. Groups underrepresented in research-intensive contexts including women, gender-expansive individuals, minorities, and mathematicians and related scholars not located at research centers are welcomed and encouraged to apply.

Resources for Workshop Attendees: SLMath is pleased to be able to offer a private room for nursing parents. Childcare grants are available for researchers with children under the age of 18 (limited to U.S. Citizens and Permanent Residents, and foreign visitors with a visa status that allows for compensation, such as a J-1). See website for full details.

Register Online & View Details