Dynamic Decision Making Laboratory

On July 18, DDMLab director Cleotilde Coty Gonzalez will be a keynote speaker at this year's MathPsych/ICCM conference in Montreal! This conference showcases leading research on mathematical and computational theories of human cognition. Coty will discuss how computational cognitive models can guide the design of AI systems that enhance human decision-making.

https://mathpsych.org/presentation/2277 #/abstract

Society for Mathematical Psychology Online conferences, news, membership functions, and information about the Society

Cleotilde Gonzalez sees a future where humans and AI work together as teammates. She and a cohort of collaborators have recently published three papers investigating the facets of “cognitive AI” and how it could partner with humans on teams. Learn more about their work in this new article!

https://www.cmu.edu/dietrich/news/news-stories/2026/ai-human-teams-coty-gonzalez

The Next Generation of AI Won’t Replace Humans – It Will Work With Them Cleotilde Gonzalez envisions a future in which artificial intelligence works with humans, rather than replacing them.

You may now submit abstracts for the AI-SDM's Human-Al Complementarity Workshop! This year's focus will be on designing AI systems that not only emulate human preferences, but also coordinate effectively with humans over trajectories of interaction.

https://www.cmu.edu/ai-sdm/research/human-ai-workshop/index.html

The C.O.R.A. disaster management game, developed at the NSF AI Institute for Societal Decision Making, is a finalist for the 2026 GEE! Learning Game Awards!

CORA combines human decision-making with advanced AI tools, and challenges players to figure out how to best distribute limited supplies like food, shelter, and emergency personnel under high pressure.

The People’s Choice voting is now live if you’d like to support us!
https://uwmadison.co1.qualtrics.com/jfe/form/SV_3Cpi9pwo8fjz5dQ

To play a demo version of the game: https://www.cmu.edu/dietrich/sds/ddmlab/imgs/research/arcgame2.jpg

To learn more about the AI-SDM C.O.R.A. team: https://www.cmu.edu/ai-sdm/research/research-highlights/arc-game.html

To learn more about the GEE! Awards: https://www.geeawards.com/

GEE! Learning Game Awards The GEE! award recognizes excellence in educational game design. The award is judged by international leaders in the field. Winners are announced at the Play Make Learn conference in Madison, WI.

Lab member Jeffrey Flagg's art submission to the 2026 CMU Community Picnic. The acrylic piece is inspired by CMU's brand standard color palette.

Cleotilde Coty Gonzalez and her recent publication "Toward a science of human–AI teaming for decision making: A complementarity framework" were featured in an article Tech Xplore. Follow the link to learn more about how we can structure Human/AI collaborations to achieve complementarity!

https://techxplore.com/news/2026-04-intelligence-framework-human-ai-teams.html

Collective intelligence framework shows how human-AI teams may make better decisions As artificial intelligence (AI) becomes embedded in critical decisions about health, safety, finance, and governance, a key challenge is no longer whether people and AI will collaborate, but rather how to structure this collaboration to achieve true complementarity. In the new paper, "Toward a Scien...

With the NFL draft approaching, Carnegie Mellon University experts Steve Chase, Cleotilde Coty Gonzalez, and Tim Derdenger explore decision making in these types of uncertain, high pressure, dynamic environments.

https://www.cmu.edu/news/stories/archives/2026/march/inside-the-high-stakes-decisions-of-the-nfl-draft

Inside the High-Stakes Decisions of the NFL Draft On NFL draft day, every team has the chance to win — or lose — big. With millions of dollars on the line and just minutes to make a final decision on each pick, a single choice can shape a franchise for years. Carnegie Mellon University experts said those intense moments offer a window into how ...