Abstract

In first half of this talk, Daniel Witte, Professor of Diabetes Epidemiology at Aarhus University, will explain the bases of modern epidemiology and its role in understanding the spread of infectious and chronic diseases, highlighting some parallels with social sciences and financial markets. Daniel will focus on the increasingly important role of network analysis approaches for understanding partially observed social systems and on the role of bias.

In the second half, Grant Fuller, CEO and co-founder of Irithmics, will explain how epidemiology and deep learning have been used to decode the views and expectations of institutional investors. Case studies will illustrate how understanding the spread of infectious and chronic diseases can be used to measure and monitor some evolving dynamics of publicly traded companies, including the dynamics between longer-term, strategic allocations, shorter-term, tactical allocations and selling by systematic strategies and shorting.