ΑΙhub.org
 

Edith Elkind wins the 2023 ACM/SIGAI Autonomous Agents Research Award


by
13 February 2023



share this:
ACM SIGAI logo

Congratulations to Edith Elkind on winning the 2023 ACM/SIGAI Autonomous Agents Research Award. This prestigious award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field.

The award selection committee recognised Edith for “her significant research contributions in computational social choice and algorithms for cooperative games, and extraordinary service to the community”. Her work provides fundamental understanding of economic paradigms in multiagent systems, with a particular focus on computational social choice and game theory. She has made important contributions to the computational analysis of cooperative games, as well as to the studies of structured domains in elections, and hedonic games.

Edith is also recognised for her service to the community. Among many other roles, she has served both as a program chair and a general chair for AAMAS (Autonomous Agents and Multiagent Systems), and as a program chair for IJCAI (International Joint Conference on Artificial Intelligence), ACM EC (ACM Conference on Economics and Computation), WINE (International Conference on Web and Internet Economics), and COMSOC (International workshop on Computational Social Choice).

One of Edith’s research topics concerns the allocation of fair shares of land. You can find out more in this blog post which describes work which won Edith and her colleagues an IJCAI 2021 distinguished paper award.

Congratulations once again to Edith!



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence