Our weekly SRI Seminar Series welcomes Marlène Koffi, an assistant professor in economics at the University of Toronto, and a faculty affiliate at the National Bureau of Economics Research and the Schwartz Reisman Institute for Technology and Society.
Koffi’s research interests are in the economics of innovation and science, and she is also interested in applying deep learning and artificial intelligence techniques for economics studies and public policies.
Talk title:
“Unlocking innovation: The use of natural language processing to uncover scientific bias”
Abstract:
The imperative for diversity and inclusion within the realms of science cannot be overstated, as they are fundamental for innovation, societal advancement, and economic prosperity. Despite notable strides toward enhancing representation, the path to fully understanding the barriers encountered by underrepresented groups remains intricate. In this talk, I will focus on two pivotal areas: the recognition of scientific endeavors and the commercialization process of these discoveries. At the heart of this presentation is an exploration of emerging research into the use of advanced natural language processing (NLP) methods on scientific documents, aiming to reveal and tackle latent biases.
About Marlène Koffi
Marlène Koffi is an assistant professor in economics at the University of Toronto. Her research interests are in the economics of innovation and science. She is also interested in applying deep learning and artificial intelligence techniques for economics studies and public policies. Koffi is also a faculty affiliate at the National Bureau of Economics Research and the Schwartz Reisman Institute for Technology and Society. Her media contributions include op-eds for The Globe and Mail and The Hill Times.
About the SRI Seminar Series
The SRI Seminar Series brings together the Schwartz Reisman community and beyond for a robust exchange of ideas that advance scholarship at the intersection of technology and society. Seminars are led by a leading or emerging scholar and feature extensive discussion.
Each week, a featured speaker will present for 45 minutes, followed by an open discussion. Registered attendees will be emailed a Zoom link before the event begins. The event will be recorded and posted online.
Marlène Koffi