University of Hamburg Business School
University of HamburgBusiness School
The Econometric SocietyIntroducing DoubleMLDeep: Estimation of Casual Effects with Multimodal Data
19 November 2024
Photo: Jan Teichert-Kluge
In August, Jan Teichert-Kluge, a research associate under Prof. Dr. Martin Spindler within the professorship for statistics, presented the results of the project DoubleMLDeep: Estimation of Causal Effects with Multimodal Data at Cornell University in Ithaca, New York, USA, as part of the ESIF conference.
The 2024 ESIF Economics and AI+ML Meeting was the first in a series of interdisciplinary meetings of the Econometric Society Interdisciplinary Frontiers (ESIF) dedicated to fostering the intersection of economics and artificial intelligence and machine learning. The conference program was shaped by interesting presentations by leading international researchers in the field of AI, ML and econometrics, such as Prof. Dr. Susan Athey (Stanford University, USA), Prof. Dr. Michael Jordan (University of California, Berkeley, USA), or Prof. Dr. Whitney Newey (Massachusetts Institute of Technology, MIT, USA).
On behalf of his University of Hamburg Business School research team, Jan Teichert-Kluge presented DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. The project is being developed in collaboration with other research associates of Prof. Dr. Spindler, as well as Victor Chernozhukov and Suhas Vijakumar, both MIT. The innovative and promising use of multimodal data to estimate causal effects and AI-based modeling approaches received special recognition.
The 2024 ESIF AI+ML Meeting provided valuable ideas for research at the Institute for Mathematics and Statistics in Economics. Francesca Molinari and Éva Tardos, both from Cornell University, had organized the conference and the lively and varied program reflects their deep commitment to promoting exchange between academics and practitioners.
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