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 :

Interview with Minji Park: humans in the loop to keep language models up to date

  06 Nov 2026
Human-AI co-inference through a shared editable state.

AI plus chemistry can expand battery electrolyte design

  05 Nov 2026
Researchers are using artificial intelligence to speed the search for better battery materials.
coffee corner

AIhub coffee corner: Are humanoids the future of embodied AI?

  04 Nov 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

“With AI, we need to reconsider what it means to learn”

  03 Nov 2026
Artificial intelligence is forcing universities to reinvent how they teach and assess students’ knowledge.

Forthcoming machine learning and AI seminars: November 2026 edition

  02 Nov 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
monthly digest

AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home

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

From teaching machines to teaching people: an interview with Michael Littman

  29 Oct 2026
AI Pioneer Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn.

From lab to life: Why translating AI advances to the real world is a major challenge

  28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence