The Decision Analytics Forum is an invitation-only series of lunch and dinner events. We invite leading behavioral economists and scientists to speak on their latest research. We also conduct and share research applying machine learning to decisions and behavioral economics.Request an invitation
With more companies using machine learning to offer advice, leading behavioral scientists are beginning to study whether people will heed the advice of algorithms. In her latest research, Dr. Minson of Harvard University conducts six separate experiments that show people tend to heed the advice more from algorithms than from people. This contradicts earlier work indicating scepticism over algorithmic advice.
The 2008 financial crisis created unprecedented disruption to global capital markets. While financial services firms had invested considerable amounts of time and capital managing risk, the actual crisis shed light on risk management. It is rare to see how these systems and processes respond under real stress. Steve Rubinow was EVP and CIO of NYSE Euronext during the crisis. He will recount the events during the crisis and comment on how financial services firms can learn from these events. OnCorps will also provide an overview of algorithms and workflows used in the detection of errors on oversight and reconciliation systems.
The impact of decision making in social networks has gained considerable attention thanks to the work of Nicholas Christakis and the Yale Institute of Network Science. Through years of research in communities and villages from South America to Africa, Christakis and his colleagues have demonstrated the influence of one’s social network in decision making. But how do electronic networks affect decision makers? Do they speed decision making? When people are connected but anonymous, do they change their perceptions or behaviors? New software from the Yale Institute of Network Science will seek more guidance in these and other questions.