BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260424T013512EDT-3836M90Zux@132.216.98.100 DTSTAMP:20260424T053512Z DESCRIPTION:Ali Aouad\n\nMIT Sloan School of Management\, Massachusetts Ins titute of Technology\n\nOptimal Subsidy Design: Application to Food Assist ance Programs\n\nDate: Friday\, April 24\, 2026\n Time: 11:00 AM - 12:00 PM \n Location: Armstrong Room 375\n\n\nAbstract\n\nThe design of a subsidy po ses a classic demand management problem: choosing an offer set (bundle\, a ssortment\, voucher) that balances policy efficiency with flexibility of i ndividual choice. In the food security context\, in-kind subsidies are maj or safety nets in the Global South to curb malnutrition and involve large- scale supply chains—the Public Distribution System in India serves hundred s of millions of beneficiaries. We introduce a high-frequency\, transactio n-level tracking method that reveals how households respond to alternative in-kind subsidies in underserved communities. We present experimental evi dence of trade-offs between take-up (demand) and efficiency (in terms of n utritional goals) when designing food assistance programs. We develop a pr obabilistic choice model that captures subsidy take-up behavior and formul ate the optimal subsidy design problem that balances paternalistic efficie ncy goals with beneficiaries’ utility. Using efficient approximation schem es\, we explore various subsidy designs and gain insights into simple poli cies that can improve performance on our dual objective compared to curren t practice.\n \n Joint work with Kamalini Ramdas\, Alp Sungu\, and Zhicong H u\n\nBio\n\nAli Aouad is the Sloan School Career Development Assistant Pro fessor and an Assistant Professor of Operations Management at MIT Sloan. H is research focuses on algorithm design and data-driven decision processes with applications covering revenue management\, market design\, and publi c and societal operations. His work was recognized by several awards\, inc luding the 2024 POMS Analytics Research Challenge Prize\, the 2022 INFORMS Second Prize of the Junior Faculty Interest Group\, and a selection for f unding in the European Research Council’s 2022 HORIZON Starting Grant. Bef ore MIT\, he was an Associate Professor at London Business School (UK) and an Applied Scientist at Uber Technologies (2018-2019)\, where he contribu ted to new matching and pricing technology and product innovations. Ali ea rned his PhD in Operations Research from MIT ORC in 2017.\n DTSTART:20260424T150000Z DTEND:20260424T160000Z LOCATION:Room 375\, Donald E. Armstrong Building\, CA\, QC\, Montreal\, H3A 3L1\, 3420 rue McTavish SUMMARY:Management Science Research Centre (MSRC) Seminar: Ali Aouad URL:/desautels/channels/event/management-science-resea rch-centre-msrc-seminar-ali-aouad-372627 END:VEVENT END:VCALENDAR