BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Synthetic Controls\, Causality\, and Confidence: Measuring the Imp act of Jurisdictional REDD+ Policies Fairly - Onkar Gulati\, University of Cambridge DTSTART:20250404T120000Z DTEND:20250404T130000Z UID:TALK225562@talks.cam.ac.uk CONTACT:114742 DESCRIPTION:*Abstract*\n\nJurisdictional REDD plus policies undertaken at the state or national level are rapidly replacing fragmented local project s at the forefront of conservation efforts. However\, their effectiveness remains uncertain\, as does the reliability of the mechanisms proposed to measure their impact. To address this\, we employ the synthetic control me thod\, which only has one prior application in this domain\, to estimate t he additional impacts of national REDD plus implementations in Guyana\, Ga bon\, and Honduras. We further assess the assumptions underlying this appr oach and explore statistical frameworks to enhance confidence in our resul ts.\n\n*Bio*\n\nOnkar is a 2nd year PhD student at the Department of Compu ter Science & Technology\, supervised by Prof. Anil Madhavapeddy and Dr. S adiq Jaffer. His research interests involve utilising advances in machine learning and causal inference to better understand the impacts of interven tions undertaken by governments globally\, particularly in the context of evaluating and forecasting progress towards the Sustainable Development Go als. His interests more broadly include spatial statistics\, macroeconomic s\, private markets\, and linguistics. He previously received his bachelor ’s degree from the University of Tokyo in 2021 and a master’s degree f rom the University of Cambridge in 2023. Onkar has worked across various f irms in the investment and technology industries prior to and during his P hD. LOCATION:SS03\, William Gates Building. Zoom link: https://cl-cam-ac-uk.zo om.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&\;from=addon END:VEVENT END:VCALENDAR