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:



Related posts :



Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.

Learning from failure to tackle extremely hard problems

  12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".

How AI can improve storm surge forecasts to help save lives

  10 Nov 2025
Looking at how AI models can help provide more detailed forecasts more quickly.

Rewarding explainability in drug repurposing with knowledge graphs

and   07 Nov 2025
A RL approach that not only predicts which drug-disease pairs might hold promise but also explains why.

AI Song Contest – vote for your favourite

  06 Nov 2025
Voting is open until 9 November.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence