Abdessattar Ben Moussa
Former President, Tunisian League for Human Rights | 2015 Nobel Peace Prize Laureate (National Dialogue Quartet) | Administrative Mediator of Tunisia
Leading Scholar on Diversity, Collective Intelligence & Complexity | Professor at the University of Michigan & Santa Fe Institute | Author of The Model Thinker & The Difference
Scott E. Page is a leading scholar on diversity, collective intelligence, and complexity. A professor at the University of Michigan and the Santa Fe Institute, he has shown, with rigor rather than rhetoric, why diverse teams outperform homogeneous ones and why 'many-model thinking' leads to better decisions. Author of The Model Thinker and The Difference, he offers leaders an evidence-based playbook for smarter decisions.
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Innovation speaker Scott E. Page is one of the world’s foremost authorities on a question at the heart of every team, company, and society: why do some groups solve problems brilliantly while others, often full of talented people, fall short? His answer, grounded in decades of research rather than rhetoric, is diversity, not diversity as a slogan, but cognitive diversity: the different tools, models, and perspectives people bring. His work proves that, on hard problems, diverse groups reliably outperform even the most able individuals.
A distinguished university professor at the University of Michigan and external faculty at the Santa Fe Institute, Page is a scholar of complexity, collective intelligence, and institutional design. He has published more than ninety research papers across fields from economics and political science to physics and computer science, and his honors include election to the National Academy of Sciences, a fellowship of the American Academy of Arts and Sciences, and a Guggenheim Fellowship. His online course, Model Thinking, has reached more than a million learners.
Page’s ideas reach far beyond academia. His bestselling book The Model Thinker makes the case that no single model can capture a complex world, and that the smartest response is to become a “many-model thinker,” applying ensembles of models to see problems clearly. In The Difference and The Diversity Bonus, he shows how cognitive diversity fuels better predictions, decisions, and innovation. More recently, in outlets like Brookings, he has turned to how AI is reshaping collective intelligence, and what it means for teams of humans and machines.
As a speaker, Scott E. Page is rigorous, witty, and genuinely eye-opening, translating cutting-edge science into practical tools with surprising, memorable examples. He speaks on the power of cognitive diversity, building teams that outthink individuals, many-model thinking for better decisions, and the future of collective intelligence in an age of AI. Having presented to organizations from Google and NASA to the IMF and the World Economic Forum, he leaves audiences with a smarter, evidence-based way to think about teams, decisions, and problem-solving.
Why can teams of people find better solutions than brilliant individuals working alone? Scott Page explains the science behind one of the most important, and most misunderstood, ideas in business: that cognitive diversity, the different tools, models, and perspectives people bring, drives better predictions, decisions, and problem-solving. Moving beyond the politics that cloud most diversity debates, he shows, with rigor and vivid examples, why difference beats homogeneity, and how any organization can put diversity's logic to work.
The world has become too complex for any single model to explain, yet most of us reach for one favorite framework and stop there. Drawing on his bestseller The Model Thinker, Page shows why the smartest people and organizations become "many-model thinkers," applying ensembles of models to understand problems, anticipate outcomes, and decide wisely. A genuinely mind-expanding keynote that hands leaders a more powerful way to reason about a messy, uncertain world.
What happens to teamwork and problem-solving when the "team" includes algorithms as well as people? Page, a leading scholar of collective intelligence, explores how AI is changing the very physics of how groups think, when diverse assemblies of humans and machines outperform, when they fail, and what leaders must do to harness the combination. A timely, forward-looking talk on the future of decision-making, innovation, and human-machine collaboration.
In this practical keynote, Page moves from the science to the application: how to actually use diversity to improve an organization's forecasts, decisions, and innovation. He examines where diverse teams add the most value (and where they don't), how to assemble them, and how to avoid the traps that keep good ideas from surfacing. Audiences leave with concrete, research-backed ways to build teams and processes that consistently think better together.
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