Algorithmics, Social choice, Market Design, and Other Topics

AAMAS 2020 has arrived in its virtual form! Here are some videos from our group: https://underline.io/lecture/71-strategyproof-multi-item-exchange-under-single-minded-dichotomous-preferences https://underline.io/lecture/73-summer-internship-matching-with-funding-constraints https://underline.io/lecture/154-mechanism-design-for-school-choice-with-soft-diversity-constraints https://underline.io/lecture/138-the-temporary-exchange-problem https://screencast-o-matic.com/watch/cYfrXeAcy7

  AAMAS 2020 Advertisement The first AAMAS virtual conference will be freely available for viewing next week. This is a wonderful opportunity to binge watch AI talks, no registration necessary! The proceedings are posted at: http://ifaamas.org/Proceedings/aamas2020/ Videos of the technical papers and the keynotes will be made available at: https://underline.io/conferences/19 The main conference starts at 9:45am EDT on Monday May 11 with a terrific selection of keynote speakers (Alison Heppenstall, Sergey Levine).  Tuesday will feature more great keynote speakers (Carla Gomes, Thore Graepel) and a panel discussion sponsored by the Blue Sky track.  Wed will have talks from our IFAAMAS award winners (Munindar Singh, Dominik Peters), announcements of the 2020 paper awards and a preview of AAMAS 2021. Underline.io will support live QA through their site. For information about the workshop activities check out: https://aamas2020.conference.auckland.ac.nz...

A Snapshot of the Frontiers of Fairness in Machines Learning from CACM on Vimeo .

It's great to see that there is now a weekly COMSOC seminar with the default time time 09:00 EDT on Fridays. https://sites.google.com/view/comsoc-seminar/

An in-depth interview of the larger than life John Conway https://www.simonsfoundation.org/2014/04/04/john-conway/

Our research is covered by UNSW. The research is based on work with my students Barton Lee and Zhaohong Sun . https://www.engineering.unsw.edu.au/news/how-maths-can-be-used-to-decide-more-fairly-just-who-gets-what 6 March 2020 Lachlan Gilbert A team of UNSW computer scientists has developed algorithms that can help people in power make decisions that incorporate diversity. Dr Haris Aziz  The benefits of diversity in our society, workplace and population have long been associated with more creativity, increased productivity and improved performance. But how do we reconcile this desire for diversity with the traditional democratic principle of ‘the majority rules’? A researcher and his colleagues at UNSW Engineering’s School of Computer Science are showing just how this can be done. They have been designing algorithms that help governments, policy writers and decision makers to decide just “who gets what” in a fair way that respects principles of dive...

Workshop on Fairness, Incentives and Algorithms in Celebration of Hervé Moulin 70 th  Birthday June 22-23, 2020, CIDE, Mexico City, Mexico The Internet vastly expands the opportunities for non-market decision making and resource allocation. It is now almost costless to vote on a small (doodle polls) or large scale (online petitions), to implement reliable reputation systems, fair peer-to-peer rules to divide or exchange memory space, working time, the family heirlooms, and much more. In this context, the search for new or improved mechanisms faces new design constraints: to the  economists’ concern for their efficiency, fairness and incentive compatibility, it adds the  computer science focus on the numerical evaluations of their worst-case performance, computational complexity and scalability. Topics addressed in this interdisciplinary workshop include, but are not limited to: Fair division, Cost-sharing, Computational Social Choice, Mechanism design on ...