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Richard Faltings conducts empirical research on the optimal design of digital platforms, with an emphasis on addressing dynamic externalities. His research focuses on how decisions made by platform users affect other users. He analyzes cancellation policies in the trucking industry, using novel data from auctions on the platform to inform firm strategy and public policy. His work utilizes reinforcement learning to solve optimal dynamic pricing for micromobility services, evaluating the resulting effects on competing firms and rider welfare. Richard received his Ph.D. in Economics from the University of Texas at Austin, where his doctoral work was supported by the Twitch Research Fellowship and several graduate fellowships. He also holds an M.A. and a B.A. from the University of St. Gallen and is a native of Switzerland.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).