Department of Industrial Engineering & Decision Analytics [Joint IEDA/ISOM] webinar - Scheduling Considerations in the US Asylum System: LIFO, FIFO, and the Dedicated Docket
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
In this talk I will give an overview of my recent work at the intersection of humanitarian immigration and operations with a particular focus on two scheduling applications: the dedicated docket in immigration courts for defensive asylum cases and USCIS’s prioritization policy for the scheduling of affirmative asylum interviews. Both of these settings involve service systems that are designed to promptly evaluate whether or not an applicant should get asylum, and both of these settings deviate from traditional FIFO policies. However, in contrast to traditional service systems, both settings involve benefits of waiting. I will discuss how these benefits can be modeled in both applications to capture key performance indicators, and highlight the impact of scheduling policies on the efficiency and fairness of both service systems.
This talk is based on joint work with my PhD student Wentao Weng. A preprint of the first paper can be found here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4785713. This work received recognition as the 2024 Best Service Science Paper on DEIJ and as the runner-up for the 2024 Public Sector OR Best Paper Award.
Daniel Freund is an Assistant Professor of Operations Management at the MIT Sloan School of Management. His research applies techniques from optimization, stochastic modeling, and revenue management to problems in transportation, online platforms, and immigration among others. His work has been recognized with the George B. Dantzig Dissertation Award (2018) and the Daniel H. Wagner Prize for Excellence in Operations Research and Analytics (2018), as well as best paper awards from APS (2021), MSOM (2023), Service Science (2024), and PSOR (runner-up, 2024). Daniel is an AE for Operations Research and Transportation Science and frequently serves on ACM program committees (e.g., EC, EAAMO, TheWebConf). Before joining MIT, he received a PhD from Cornell University and was a postdoc in Lyft’s Marketplace Labs.