ΑΙhub.org
 

Congratulations to the #IJCAI2026 award winners


by
07 August 2026



share this:

AIhub | NeurIPS awardsImage credit: Photo by Giorgio Trovato on Unsplash.

The winners of three International Joint Conferences on Artificial Intelligence (IJCAI) awards have been announced. These three distinctions are: the Award for Research Excellence, the Computers and Thought Award and the John McCarthy Award.

IJCAI-26 Award for Research Excellence

The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality throughout an entire career yielding several substantial results.

The winner of the 2026 Award for Research Excellence is Nicholas R. Jennings, Vice-Chancellor and President of Loughborough University, UK. Professor Jennings is recognized for his seminal contributions to the field of multi-agent systems, including algorithms for multi-agent coordination and the principles of human-agent teamwork, and for his pioneering applications of autonomous agents and multi-agent systems.

IJCAI-26 Computers and Thought Award

This award is presented to outstanding young scientists in artificial intelligence.

The winner of the 2026 IJCAI Computers and Thought Award is Jiajun Wu, Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University. Dr Wu is recognized for his foundational contributions across computer vision, generative AI, and robotics, uniting neural and symbolic representations to build machines that understand and interact with the physical world.

IJCAI-26 John McCarthy Award

This award is intended to recognize established mid-career researchers, typically between fifteen to twenty-five years after obtaining their PhD, that have built up a major track record of research excellence in artificial intelligence.

The winner of the 2026 John McCarthy Award is David C. Parkes, John A. Paulson Dean George F. Colony Professor of Computer Science, Harvard University. Professor Parkes is recognized for his foundational contributions to the interface of AI and economics, specifically for pioneering algorithmic mechanisms that ensure efficiency, fairness, and incentive alignment in high-stakes multi-agent environments.


The IJCAI-26 awards selection committee: Bo An, Diego Calvanese, James Kwok, Kate Larson, Michael Thielscher, Zhi-Hua Zhou.


Find out more about the awards here.



tags: , ,


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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AAAI presidential panel – AI evaluation

  21 Sep 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.

Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time

  18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.

How much can fair budget-division rules resist manipulation?

The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".

AI dives into a sea of data, from plankton to pollution

  16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence