Search for tag: "optimization"
Optimization Meets Politics: Mathematical Models and a Practical Case Study in Political Redistricting - Rahul Swamy, UIUC, 11/10/2023Over the last century, Operations Research (O.R.) has transformed numerous public sector domains such as healthcare and defense. This talk dives into how O.R. models such as integer…
From Thiago Serra
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Optimized Item Selection to Boost Exploration for Recommender Systems - Serdar Kadioglu, Fidelity, 11/11/2022Recommender systems are the backbone of personalized services that provide tailored experiences to individual users. Still, data sparsity remains a common challenge, especially for new…
From Thiago Serra
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Fairmandering Generating Fairness optimized Political Districts - Wes Gurnee, MIT, 11/11/2021The American winner-take-all congressional district system empowers politicians to engineer electoral outcomes by manipulating district boundaries. To date, computational solutions mostly focus…
From Thiago Serra
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Sports Scheduling: Optimization and Analytics - Michael Trick, Carnegie Mellon University, 10/28/2021Sports scheduling has been transformed over the last fifteen year. Prior to then, most sports leagues used hand-crafted schedules that met few of the needs of the leagues. Better computational…
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Decisions as Code: Systems Thinking, Optimization, and Computer Science - Carolyn Mooney, nextmv, 10/19/2021Carolyn is CEO of Nextmv, a decision science startup building a developer-friendly decision stack. Previously, she analyzed simulations at Lockheed (missiles) and Zoomer (pizzas), and also ran…
From Thiago Serra
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CDC as a Strategic Agent in Public Sector Vaccine Pricing - Kayla Cummings, MIT, 09/30/2021The Centers for Disease Control and Prevention’s (CDC) significant patronage of U.S. vaccines affords them leverage in negotiating public-sector prices that prevent the formation of…
From Thiago Serra
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How Operations Research and Machine Learning are Reshaping the Aviation Industry - Deepak Agrawal, American Airlines, 04/16/2021Operations Research and Machine Learning have applications in a wide variety of industries such as supply chain, healthcare, transportation, manufacturing etc. OR and ML touch many aspects of an…
From Thiago Serra
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