This accessible two-day executive education course provides an intensive introduction to information aggregation mechanisms in complex adaptive systems. The focus will be on crowdsourcing and the wisdom of crowds, collective intelligence, prediction markets, collective forecasting, the role of diversity, and measuring consensus. The concepts and tools we discuss will be useful for any system in which strategic decisions are made collectively by heterogeneous, error-prone agents extracting regularities from noisy data--whether neurons, monkeys, portfolio managers, election pundits, or sports analytics teams trying to determine how to make draft picks.

Through lectures, exercises, interactive discussions with SFI faculty and prominent guest faculty from other institutions, and your fellow participants, you will gain understanding of how these concepts and tools might be applied to financial markets, sports analytics, intelligence analysis, election forecasting, design of hybrid AI and human intelligence systems, and optimizing search and team performance. This course does not require any prior knowledge of math or data analysis. 

Schedule  (Work in Progress)

DAY 1: Thursday, October 12

Introduction

Wisdom & Madness of Crowd in Markets

Prediction Market & Poll Primer

Collective Intelligence

Information aggregation in markets

Reception/Talk

 

DAY 2: Friday, October 13

Role of Diversity

Consensus Algorithms for large systems & robotic swarms

Collective Forecasting

Forecasting Lab

Wrap-up & Synthesis
 

photo by Gabriella Marks
   Photo: Gabriella Marks

Director: Jessica Flack, Santa Fe Institute

Jessica Flack is a professor at SFI where she also runs the Collective Computation Group. The focus of C4 research is on fundamental problems in evolutionary theory concerning collective behavior, collective computation, and collective intelligence—at all levels of biological organization—from societies of cells to societies of individuals to machine-human hybrid societies. C4 researchers use insights and tools from statistical physics, information theory, evolutionary theory, biology, cognitive science, complexity science, animal behavior, and theoretical computer science.

Quanta Magazine article on Jessica Flack's Research: How Nature Solves Problems Through Computation

Co-Director: Michael Mauboussin, Director of Research at BlueMountain Capital Management in New York & Chairman of the Board of Trustees, Santa Fe Institute

Michael J. Mauboussin is Director of Research at BlueMountain Capital Management in New York. Prior to joining BlueMountain in July of 2017, he was a Managing Director and Head of Global Financial Strategies at Credit Suisse.

Before rejoining Credit Suisse, he was Chief Investment Strategist at Legg Mason Capital Management from 2004-2012. Mr. Mauboussin originally joined Credit Suisse in 1992 as a packaged food industry analyst and was named Chief U.S. Investment Strategist in 1999. He is a former president of the Consumer Analyst Group of New York and was repeatedly named to Institutional Investor's All-America Research Team and The Wall Street Journal All-Star survey in the food industry group. He is also Chairman of the Board of Trustees of Santa Fe Institute.

Mr. Mauboussin is the author of The Success Equation: Untangling Skill and Luck in Business, Sports, and InvestingThink Twice: Harnessing the Power of Counterintuition, and More Than You Know: Finding Financial Wisdom in Unconventional Places-Updated and Expanded. He is also co-author, with Alfred Rappaport, of Expectations Investing: Reading Stock Prices for Better Returns.

Mr. Mauboussin has been an adjunct professor of finance at Columbia Business School since 1993 and is on the faculty of the Heilbrunn Center for Graham and Dodd Investing.