CMSA Interdisciplinary Science Seminar: Virtual Teams in Gig Economy — An End-to-End Data Science Approach

CMSA GENERAL RELATIVITY SEMINAR, SEMINARS

Speaker:

Wei Ai - University of Maryland

The gig economy provides workers with the benefits of autonomy and flexibility, but it does so at the expense of work identity and co-worker bonds. Among the many reasons why gig workers leave their platforms, an unexplored aspect is the organization identity. In a series of studies, we develop a team formation and inter-team contest at a ride-sharing platform. We employ an end-to-end data science approach, combining methodologies from randomized field experiments, recommender systems, and counterfactual machine learning. Together, our results show that platform designers can leverage team identity and team contests to increase revenue and worker engagement in a gig economy.

For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/