Eric Ries
Founder & Creator, The Lean Startup | Founder & Executive Chair, Long-Term Stock Exchange | NYT Bestselling Author of The Lean Startup, The Startup Way & Incorruptible
2021 Nobel Laureate in Economic Sciences | Ford Professor of Economics, MIT | Econometrics & Causal Inference
Joshua Angrist's research changed how the world establishes cause and effect. The 2021 Nobel Laureate in Economics, MIT Ford Professor, and co-author of Mostly Harmless Econometrics, he has transformed empirical research in labor economics, education, and public policy, giving senior leaders sharper tools for evidence-based decisions.
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Joshua Angrist is a 2021 Nobel Laureate in Economic Sciences whose work has fundamentally reshaped how researchers, policymakers, and organizations determine what actually causes what. As Ford Professor of Economics at the Massachusetts Institute of Technology, he has spent three decades developing and applying methods that extract reliable causal conclusions from real-world data — work that has become indispensable to evidence-based decision-making across government, healthcare, education, and business.
Economics speaker Joshua Angrist is best known for pioneering the use of natural experiments and instrumental variables in empirical economics. His landmark 1994 paper with Guido Imbens introduced the concept of Local Average Treatment Effects (LATE) — a rigorous framework for drawing valid causal conclusions even when controlled experiments are impossible. This work became a cornerstone of modern econometrics and directly informed how economists, public health researchers, and policy analysts design and interpret studies around the world.
In 2021, Angrist was awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel, shared with David Card and Guido Imbens, for their methodological contributions to the analysis of causal relationships. The Nobel Committee credited this body of work with transforming empirical research in the social sciences and making it possible to answer some of the most important questions in economics with far greater credibility than was previously achievable.
Beyond the methodological breakthroughs, Angrist has applied his tools to questions that matter: the returns to education, the effects of military service on earnings, school choice and student outcomes, and labor market policy. His research on charter schools through the Blueprint Labs initiative — which he co-directs — has produced some of the most rigorous evidence available on what works in urban education. He also co-founded Avela Education, bringing data-driven approaches to school enrollment and access. Among his widely read books are Mostly Harmless Econometrics and Mastering ‘Metrics (both co-authored with Jörn-Steffen Pischke), which have trained a generation of applied economists and policy researchers. In 2018, he received the Fama Prize for Graduate Education at MIT, recognizing his exceptional impact as a teacher and mentor.
As a speaker, Joshua Angrist brings Nobel-caliber rigor to questions that senior leaders face every day: how to evaluate programs, measure impact, design better experiments, and move beyond correlation to genuine insight. He translates the logic of causal inference into frameworks that executives, policymakers, and strategists can apply — making the case, with clarity and wit, that better evidence produces better decisions. Audiences consistently leave with a sharper sense of what good evidence actually looks like and how to demand it.
Most business decisions are built on correlation mistaken for causation. In this talk, Angrist draws on his Nobel-recognized research to explain the difference and why it matters. Using real-world examples from education, labor markets, and public policy, he gives audiences a practical framework for distinguishing genuine causal insights from statistical noise, and shows how organizations can design smarter evaluations and make decisions with real confidence.
Some of the most powerful evidence in economics comes not from controlled trials, but from the unexpected turns of policy, chance, and circumstance. Angrist explores how researchers and leaders can identify and exploit natural experiments in their own data, extracting reliable answers to questions that would otherwise remain unanswerable. A session that reframes how organizations think about learning from their own experience.
Education is among the most consequential and contested investments individuals and governments make. Angrist's groundbreaking research has produced some of the most credible estimates of education's actual impact on earnings, productivity, and social mobility. This talk unpacks what the evidence really shows, where the myths persist, and what it means for talent strategy, workforce development, and human capital investment.
Great leaders ask better questions, but they also demand better answers. Angrist translates the logic of modern empirical economics into a leadership framework, showing executives how to evaluate programs and interventions with the same rigor that drives world-class research. The result is a practical toolkit for distinguishing what works from what merely looks good on paper.
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