Can social nudging help improve decision making? What is the impact of influences from different people in your network? We will first examine how technology can nudge decision makers by applying a combination of collaborative filtering and machine learning. Next, we will examine ground breaking research in the power of social networks to influence decisions.
Time magazine's list of the 100 most influential people in the world. He was elected to the Institute of Medicine of the National Academy of Sciences in 2006, and he was named a Fellow at the American Association for the Advancement of Science in 2010. Nicholas is a scientific advisor to OnCorps.
The complex role of emotion in human decision making and choice is a growing field of social science research. One of the leaders in the field is Jennifer Lerner, professor of public policy and management at Harvard Kennedy School. Drawing insights from psychology, economics, and neuroscience, Lerner’s research examines human judgment and decision making.
Recipient of the Presidential Early Career Award for Scientists and Engineers. Appeared in Nova, NPR, Good Morning America, and the Wall Street Journal.
In this session, we share our latest application of machine learning to augment human decision making. We discuss the problem of high false-positives applying Bayesian algorithms and suggest solutions. Karim Lakhani then discusses his research and projects in harnessing crowds to accelerate innovation. He has led major innovation projects at NASA and for technology projects applying his research.
In this roundtable discussion, two former leaders driving sophisticated analytic programs at major financial institutions will discuss their experiences. In this discussion the former CIO of Goldman Sachs and former EVP of strategy for State Street will discuss their approaches to making analytics projects work.
Nicholas Christakis, Professor and Director of the Yale Institute on Network Science, shared research on the power of social networks to influence decisions. His work focuses on health and disease, providing a compelling analytic framework for predicting both the spread of disease and the promotion of health practices based on network analysis.