Institute for Operations Research and the Management Sciences

So the project is basically information extraction, to simplify it, because we have an award.

I think it's called the Edelman Award at INFORMS, and it's been in existence since 1972.

And we have a hypothesis that the definition of impact across the years have changed because back in the years, people majorly focused on the dollar impact of a solution.

So when you have a new solution in the operations field or in the analytics field, you're only looking at what is the cost savings and what is the amount of revenue that has been generated by this new solution.

Artificial intelligence has become one of the defining technologies of our time.

But what if the way we're thinking about AI, starting with the very idea of intelligence, is too narrow? Welcome to Resoundingly Human, the InForms podcast about how operations research, analytics, data science, and AI are helping us better understand and improve the world around us.

Today's guest has spent decades helping shape our understanding of machine learning and its connection to statistics, computation, cognition, and decision-making.

Michael Jordan is a researcher at Enria Paris and Professor Emeritus at the University of California, Berkeley, and will be joining us in San Francisco as the opening plenary speaker at the 2026 INFORMS Annual Meeting, where he'll present A Collectivist, Economic Perspective on AI.

So that's something I want to talk about.

So the Journal of Computing has been doing that forever, where you can take your interesting artifacts and kind of publish it, right? I know that one, the Informs.

No, I didn't know that one.

So that's an artifact-centric journal, or what?

which could translate to something in the region of 3 million in additional reimbursement with no new beds, no new staff and no new technology.

Hi, and welcome to Resoundingly Human, the InForms podcast where we share how operations research and analytics and AI are helping us make smarter decisions for a better world.

If you've ever visited a hospital emergency center, chances are you've experienced one of its most persistent challenges, waiting.

For hospitals, reducing those wait times can seem like a capacity problem.

The University of Houston's College of Engineering presents this series about the machines that make our civilization run and the people whose ingenuity created them.

What comes to mind when we think of military commanders? Fortitude? Loyalty? But what about mathematical skills? Admiral Michael Mullen, chairman of the Joint Chiefs of Staff, recently sat for an interview with representatives of INFORMS, the Institute for Operations Research and the Management Sciences.

It's a professional society for mathematically inclined problem solvers.

In business, these problem solvers go by many names.

His research focuses on reinforcement learning and alignment, with interests including information-theoretic foundations for machine learning, efficient exploration, continual learning, and mathematical models of misalignment risk.

He is a fellow of Informs and IEEE and a recipient of the Lanchester Prize.

Links Personal website Google Scholar Profile Stanford Profile That's the end of the list.

Subheading Managing Editors Dan McKinlay is a former research scientist at CSIRO's Data61, Australia's national information technology laboratory.