100K downloads and counting!

Every time we place an online order, an enormous number of decisions happen behind the scenes – where an item should be stored, how an order should be fulfilled, which route it should take and how it ultimately reaches our doorstep. Increasingly, operations research, optimization and artificial intelligence are helping make those decisions at a scale no human could manage alone. In this episode of Resoundingly Human: The INFORMS Podcast, Russell Allgor, Chief Supply Chain Scientist at Auger and a plenary speaker at the 2026 INFORMS Annual Meeting, shares just how many decisions are happening behind the products and services we rely on every day – and how operations research and AI are changing not only how those decisions are made, but who, or what, makes them.

When we hear the word "optimization," we tend to think about finding the best possible solution to a problem. But when those problems involve schools, communities, limited resources and competing priorities, defining what "best" actually means can become much more complicated. In this episode of Resoundingly Human: The INFORMS Podcast, Karen Smilowitz, Associate Provost and professor at Northwestern University with a joint appointment in the operations group at the Kellogg School of Management, and a plenary speaker at the 2026 INFORMS Annual Meeting, shares how operations research can be used to tackle complex problems with very real human consequences in education, humanitarian, and nonprofit applications.

Computers keep getting faster. But sometimes, taking full advantage of new computing power requires more than simply speeding up the way we've always done things. It requires rethinking the way we solve problems altogether. Welcome to Resoundingly Human: The INFORMS Podcast where we share how operations research, analytics, data science, and AI are helping us better understand – and improve – the world around us. Today's guest has spent his career exploring how we can solve some of the most complex optimization problems more effectively. A professor at the Jacobs Technion-Cornell Institute at Cornell Tech, Andrea Lodi will be joining us in San Francisco as a plenary speaker at the 2026 INFORMS Annual Meeting, where he'll explore how GPUs could change not just the speed of Mixed-Integer Optimization, but potentially the algorithms themselves.

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 connections to statistics, computation, cognition and decision-making. Michael Jordan is a researcher at Inria 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."

If you've ever visited a hospital emergency department, chances are you've experienced one of its most persistent challenges: waiting. For hospitals, reducing those wait times can seem like a capacity problem. More patients require more beds, more staff or more space, right? But what if one of the solutions is simply making better decisions about how the resources already available are used? Joining me today is Agni Orfanoudaki, Oxford University, to share new research on a data-driven approach to determining which patients actually need a traditional emergency department bed and who can be treated in alternate locations. Ultimately, this reduced emergency room stays by 11 minutes, all without adding staff, beds or technology, and without compromising patient safety.

Organizations have more data, more dashboards, and more sophisticated analytics tools than ever before. And yet, many still struggle to make confident decisions quickly. Sometimes the problem isn't the data itself. It's what happens between the insight and the action: unclear ownership, competing versions of the truth, slow review cycles, and analytics that sit beside the business instead of helping shape it. In today's episode of Resoundingly Human: The INFORMS Podcast, I'm joined by Ritish Chugh, Senior Analytics Engineer with Airbnb, to talk about what it takes to move from producing analytics to building an organization that actually knows how to use it.

Joining me today is Katalia Chen, recipient of INFORMS Doing Good with Good OR Award, which recognizes outstanding work using operations research to create meaningful social impact. Katalia's research tackles a question that affects hundreds of thousands of animals every year: how can we help animal shelters make better decisions when resources like kennel space, staff time, and foster homes are limited? By combining operations research, optimization, survival analysis, and causal inference, her work demonstrates that smarter allocation of these scarce resources can dramatically increase the number of lives saved – without building new facilities or increasing capacity.

Reaching 100,000 downloads isn't just a milestone – it's a reflection that the stories featured on Resoundingly Human matter. It means there are thousands of people who are curious about how analytics can solve meaningful problems and who want to hear directly from the people making that happen. To celebrate, let's take a look back at our top five favorite conversations from throughout the years. These aren't necessarily the most downloaded episodes – they're simply five conversations that challenged our thinking, taught us something unexpected, or perfectly captured what Resoundingly Human is all about.

Few topics generate more debate than elections. But long before voters head to the polls, important decisions have already been made about how communities are grouped into districts and how representation is structured. While redistricting is often discussed as a political issue, it's also a fascinating operations research problem – one involving competing objectives and complex constraints such as geography, population, representation, and legal requirements, as well as competing definitions of fairness. My guest today, Ian Ludden, Assistant Professor of Computer Science and Software Engineering at Rose-Hulman Institute of Technology, will share how computational methods and OR/MS are helping researchers evaluate district maps and better understand the choices that shape our democracy. We'll explore questions of fairness, representation, and how data-driven approaches can help us better understand one of the most consequential – and often controversial – processes in American democracy.

Today, we're talking about a topic that sits at the heart of the INFORMS mission: public engagement. While many people think of analytics and operations research as tools used in businesses, universities, or research labs, these disciplines also play an important role in informing public policy, improving government decision-making, and helping communities tackle difficult problems. Joining me today is someone who has spent his career not only advancing the field, but helping others understand its value and impact. Jim Cochran is a professor at the University of Alabama, an internationally recognized educator, researcher, and advocate for analytics and operations research. He is also the recipient of the 2025 INFORMS Advocacy and Governance Committee Award for Public Engagement.