The First Symposium on Foundations of Responsible Computing (FORC 2020) is a forum for mathematical research in computation and society.  The Symposium aims to catalyze the formation of a community supportive of the application of theoretical computer science, statistics, economics and other relevant analytical fields to problems of pressing and anticipated societal concern.

Lead by program chairs Cynthia Dwork, Omer Reingold, and Aaron Roth; the virtual symposium is on June 1st and 2nd, 2020.  The program consists of keynote talks by Adrian Weller, Rakesh Vohra, Patricia Williams, and Jon Kleinberg; and 21 contributed papers.  The conference is free but registration is required.  The full program is available on the conference webpage.



Dear all,

We are happy to announce that the Journal of Autonomous Agents and Multiagent Systems will host a special issue on Fair Division. We welcome full versions of papers on fair division that have appeared in recent editions of AAMAS, IJCAI, AAAI, ECAI, ACM EC, WINE, SAGT, and other relevant conferences, as well as papers that have not been published in conference proceedings.

Call for Papers

Please note that there will be a rolling review process: submissions accepted before the completion of the issue will be available on the journal website shortly after acceptance. Deadline: March 1, 2021.

Guest Editors
Edith Elkind
Nicolas Maudet
Warut Suksompong

As many of you have probably anticipated, due to concerns regarding the novel coronavirus COVID-19, the 2020 ACM Conference on Economics and Computation (EC 2020) will be held virtually.

This change of format will of course present us with difficult challenges, but we believe it will offer exciting new opportunities as well.  (And not to worry, your opportunity to attend EC in Budapest is just deferred to 2021.)

The SIGecom Executive Committee has appointed and will serve on a Virtual Transition Team that additionally includes the following new conference officers:

This team is working with the EC 2020 organizing committee and EC 2020 PC chairs to put together a plan that leverages the opportunities of the virtual format to the fullest extent. Though these plans are still in the works, we have identified the following “minimal commitment” for authors of accepted papers to the main EC conference: at least one author will need to

  • register for the conference;
  • be available virtually on the conference dates (July 14-16);
  • provide a camera-ready paper or abstract by the camera-ready deadline;
  • provide a pre-recorded talk presenting the paper two weeks in advance (by June 28).

We are optimistic that, while a virtual EC may lack some of the positive features of a classical conference, the format will also provide opportunities that improve on the classical experience.  As with any conference there will be opportunities to participate beyond the “minimal commitment.”  We hope that speakers and participants will join in other activities, which may include preview sessions for talks before the conference proper, watch parties for speakers and attendees, and mechanisms for reaching a wider audience with the technical program. With many academic interactions moving virtual, the barriers to collaboration with distant colleagues have lowered, and we hope that EC 2020 will kindle and rekindle global collaborations.

Further details about these activities as well as the minimal requirements will be circulated by June 1.

Tutorial speakers and workshop organizers will receive separate emails from the Tutorial and Workshop Chairs about plans for moving these events online.

July 17, 2020, Budapest, Hungary
At the 21st ACM Conference on Economics and Computation (ACM EC ’20)
**In the event the in-person conference does not happen due to the COVID-19 pandemic, we will hold the workshop virtually.
SUBMISSIONS DUE May 18, 2020, 11:59pm PDT.
Call for Papers: the 2nd Workshop on Behavioral Economics and Computation
We solicit research contributions and participants for the 2nd Workshop on Behavioral Economics and Computation, to be held in conjunction with the Twenty-First ACM Conference on Economics and Computation (ACM EC ’20).
Based on the successful workshop last year, we aim to bring together again researchers and practitioners from diverse subareas of EC, who are interested in the intersection of human economic behavior and computation, to share new results and to discuss future directions for behavioral research related to economics and computation. It will be a full-day workshop, and will feature invited speakers, contributed paper presentations and a panel discussion.
The gap between rationality-based analysis that assumes utility-maximizing agents and actual human behavior in the real world has been well recognized in economics, psychology and other social sciences. In recent years, there has been growing interest in conducting behavioral research across many of the sub-areas related to economics and computation to address this gap. In one direction, some of these studies leverage insights on human decision making from the behavioral economics and psychology literature to study economic and computational systems with human users. In the other direction, computational tools are used to study and gain insights on human behavior and a data-driven approach is used to learn behavior models from user-generated data.

The 2nd Behavioral EC workshop aims to provide a venue for researchers and practitioners from diverse fields, including but not limited to computer science, economics, psychology and sociology, to exchange ideas related to behavioral research in economics and computation. In addition to sharing new results, we hope the workshop will foster a lively discussion of future directions and methodologies for behavioral research related to economics and computation as well as fruitful cross-pollination of behavioral economics, cognitive psychology and computer science.

We welcome studies at the intersection of economic behavior and computation from a rich set of theoretical, experimental and empirical perspectives. The topics of interest for the workshop are behavioral research in all settings covered by EC, including but not limited to:
  • Behavioral mechanism design and applied mechanism design
  • Boundedly-rational models of economic decision making
  • Empirical studies of human economic behavior
  • Model evaluation and selection based on behavioral data
  • Data-driven modelling
  • Online prediction markets, online experiments, and crowdsourcing platforms
  • Hybrid human-machine systems
  • Models and experiments about social considerations (e.g. fairness and trust) in decision making
  • Methods for behavioral EC: information aggregation, probability elicitation, quality control
Submission Instructions
Submission deadline: May 18, 2020, 11:59pm PDT.
Notification: June 11, 2020
All submissions will be peer reviewed. We will give priority to new (unpublished) research papers but will also consider ongoing research and recently published papers that may be of interest to the workshop audience. For submissions of published papers, authors must clearly state the venue of publication. Position papers and panel discussion proposals are also welcome. Papers will be reviewed for relevance, significance, originality, research contribution, and likelihood to catalyze discussion.

Submissions can be in any format and any length. We recommend the EC submission format.
The workshop will not have archival proceedings but will post accepted papers on the workshop website. At least one author of each accepted paper will be expected to attend and present their findings at the workshop.

Submissions should be uploaded to Easychair no later than May 18th, 2020, 11:59pm PDT.
Organizing Committee

Yiling Chen, Harvard University
Dan Goldstein, Microsoft Research
Kevin Leyton-Brown, University of British Columbia
Shengwu Li, Harvard University
Gali Noti, Hebrew University

More Information

For more information or questions, visit the workshop website:
or email the organizing committee: behavioralec2020@easychair.org

Our community has some outstanding long-running virtual seminars, and there are many traditional seminars now moving to a virtual format.  Northwestern Ph.D. students Modibo Camara and Yiding Feng have a collection of them in a Google Calendar at Virtual CS+Econ Seminars.  Don’t miss any of the action!

The topics include but not limited to theoretical computer science, economic theory, theoretical machine learning, and econometrics.  The calendar currently tracks talks in Caltech Econ Theory, Chamberlain Seminar in Econometrics, IDEAL, MD4SG, and TCS+. Send other relevant talk series or one-off events to Modibo and Yiding at VirtualCSEconSeminar@gmail.com.

The ACM EC20 conference to be held on July 13-17, 2020 in Budapest is now calling for proposals for tutorials and workshops.  The deadline for submission of such proposals is March 2nd, 2020.

Here’s Alex’s announcement of his new book, which I am very excited about, and many in our community would no doubt find extremely useful (there’s even an open version on arXiv!):

I am pleased to announce Introduction to multi-armed bandits, a broad and accessible introduction to the area which emphasizes connections to operations research, game theory, and mechanism design. The said connections have generated a considerable amount of interest (and publications) in the Economics and Computation community.

The book is teachable by design: each chapter corresponds to one week of my class. Each chapter handles one big direction in the literature on bandits, covers the first-order concepts and results on a technical level, and provides a detailed literature review for further exploration. There are no prerequisites other than a certain level of mathematical maturity.

The chapters are as follows: stochastic bandits; lower bounds; Bayesian bandits and Thompson Sampling; Lipschitz Bandits; full feedback and adversarial costs; adversarial bandits; linear costs and semi-bandits; contextual bandits; bandits and games; bandits with knapsacks; bandits and incentives.

The book is also available on arxiv (in a plain-format version).

Aleksandrs Slivkins
Microsoft Research NYC