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In \u201cSynthetic Interventions: Extending Synthetic Controls to Multiple Treatments,\u201d Agarwal, Shah, and Shen introduce the synthetic interventions framework, a generalization of the synthetic controls method that accommodates multiple treatments within a unified model. By representing outcomes as a low-rank tensor capturing relationships across time, units, and interventions, their approach enables researchers to estimate counterfactual outcomes under all interventions for each unit. The authors establish consistency of their estimator and show that a bias-corrected version achieves asymptotic normality, permitting valid statistical inference. This work offers a new perspective for evaluating complex, multipolicy environments where traditional causal inference tools fall short.<\/jats:p>","DOI":"10.1287\/opre.2025.1590","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T17:26:42Z","timestamp":1765214802000},"page":"840-859","source":"Crossref","is-referenced-by-count":2,"title":["Synthetic Interventions: Extending Synthetic Controls to Multiple Treatments"],"prefix":"10.1287","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3919-479X","authenticated-orcid":false,"given":"Anish","family":"Agarwal","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0737-3259","authenticated-orcid":false,"given":"Devavrat","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4721-0416","authenticated-orcid":false,"given":"Dennis","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Data Sciences and Operations, University of Southern California, Los Angeles, California 90089"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"109","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1257\/jel.20191450"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1257\/000282803321455188"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.ap08746"},{"key":"B4","unstructured":"Agarwal A, Syrgkanis V (2022) Synthetic blip effects: Generalizing synthetic controls for the dynamic treatment regime. 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