{"id":275,"date":"2023-03-10T17:32:20","date_gmt":"2023-03-10T17:32:20","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/annual2025\/?page_id=275"},"modified":"2025-10-26T16:19:37","modified_gmt":"2025-10-26T21:19:37","slug":"plenaries-keynotes","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/annual2025\/plenaries-keynotes\/","title":{"rendered":"Plenaries & Keynotes"},"content":{"rendered":"\n
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Plenaries<\/a> | Keynotes<\/a><\/strong><\/h4> <\/div>\n<\/div>\n\n
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Plenaries<\/span><\/h2> <\/div>\n<\/div>\n\n
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GWCC Building A Level 4 Auditorium<\/b><\/h2> <\/div>\n<\/div>\n\n
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SUNDAY, OCTOBER 26, 9:30-10:45AM<\/strong><\/h3> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n \"Margaret \n <\/div>\n \n \n
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\n Margaret Brandeau <\/h3>\n
\n Stanford University <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n
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Operations Research and Social Policy: Models that Can Make a Difference<\/strong><\/h4>\n

The United States faces numerous complex, intertwined social challenges such as rising income inequality, lack of access to healthcare, lack of affordable housing, homelessness, opioid addiction, and mass incarceration. How can OR inform good policies for addressing these and other social problems? Decision makers deciding which programs to invest in face a number of challenges, including limited resources, incomplete information about the potential effects of programs, and objectives that include not only welfare maximization but also economic, social, and political considerations. This talk describes modeling efforts in which OR has played and can play a role in informing such decision making. By providing a structured framework that uses the best available evidence, imperfect as it may be, and that captures relevant uncertainties, complexities, and interactions, OR-based models can be used to evaluate the potential impact of alternative public programs. We describe models focusing on opioid, housing, and criminal justice policies. We conclude with a discussion of useful lessons and opportunities for OR modelers who wish to work on problems related to social policy.<\/p>\n<\/div> <\/div>\n<\/div>\n\n

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