Kristen Altenburger is a staff research scientist at Meta.

Title: Social Networks for Product Innovation

Abstract: Technological innovations have fundamentally transformed information flow and social behavior. As society’s digital platforms continue to promote instantaneous connectivity, network science can help advance machine learning and causal inference methods aimed at driving product innovation. This talk will first provide an overview of network science in machine learning applications...

R. Vijay Krishna is an Associate Professor of Economics at Florida State University.

Join us to hear from Fábio Moraes da Costa from the Tippie College of Business, University of Iowa & Fucape Business School - Vitória, Brazil, who will present "The effects of decoupling financial and tax reporting on earnings quality."

Abstract: A subset of E.U. countries that switched to IFRS for financial reporting in 2005 retained Local GAAP for the parent’s books which serves as the starting point for tax reporting, effectively decoupling financial and tax reporting. We find that for...

Chao Wang is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Iowa. He will present "Statistical Transfer Learning for Modeling, Monitoring, and Prognosis."

Abstract: Transfer learning focuses on building relationship among different tasks so that shared information can be transferred from related source tasks to the target task. Various statistical models have been developed/applied to build such relationship and facilitate the transfer...

Join us to hear from Filippo Mezzanotti, Northwestern University.  His presentation is titled, "Research and/or Development?  Financial Frictions and Innovation Investment". 

Abstract: U.S. firms have reduced their investments in scientific research compared to product development. We use Census data to study how the composition of R&D responds to an increase in the cost of funds. Companies forced to refinance during the 2008 financial crisis made substantial cuts to R&D. These reductions were...