معرفی
Davide Viviano is an Assistant Professor in the Department of Economics at Harvard University, affiliated with the Faculty of Arts and Sciences. He holds a Ph.D. in Economics from UC San Diego (2022) and a Master’s in Data Science from Pompeu Fabra University (2017). His postdoctoral research included fellowships at Harvard (2023–2024) and Stanford Graduate School of Business (2022–2023).
His research focuses on econometrics, policy design, and causal inference, combining economics with data science to develop statistical methods for social science applications. Key areas include network interference, experimental design, and fair policy targeting. He has contributed to frameworks addressing generalizability of causal effects, remotely sensed outcomes, and synthetic control methodologies.
- Developed the DynBalancing R package for dynamic treatment effect estimation with high-dimensional covariates.
- Recipient of featured article status in the Review of Economic Studies (2024) for work on policy targeting under network interference.
His advising emphasizes student involvement in research projects, with opportunities for part-time research assistantships. Collaborations include work with institutions like the AEA Registry for field implementations involving over 400,000 participants.
