Elisabeth C. Paulson
Assistant Professor of Business Administration
Assistant Professor of Business Administration
Elisabeth is an Assistant Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School. She teaches the first year course on Technology and Operations Management in the required curriculum.
Elisabeth’s research focuses on data-driven policy making and the design of interventions for social good. Drawing on tools from optimization, machine learning, mathematical modeling, and statistics, her work aims to develop new analytical methods that have impact in the public and non-profit sectors. Through her focus on intervention design, Elisabeth’s research addresses broader topics related to fairness, personalization/targeting, and explainability.
Elisabeth’s work to date is primarily in the domains of food and immigration policy. Her food policy work focuses on interventions for creating better access to, and consumption of, fresh food. Her work on immigration policy centers around the data-driven geographic assignment of refugees and asylum seekers. Elisabeth believes in partnership-oriented research, and much of her work to date is motivated by, and in collaboration with, NGOs and government entities.
Prior to joining HBS, Elisabeth was a Postdoctoral Fellow at the Immigration Policy Lab at Stanford University, where she remains a Faculty Affiliate. She received her PhD in Operations Research from MIT in 2021, supported by an NSF Graduate Research Fellowship. Elisabeth received her B.S. in Math, B.S. in Statistics, and M.A. in Math from the Pennsylvania State University.
For more information, please visit:
https://elisabethpaulson.github.io/
Elisabeth’s research focuses on data-driven policy making and the design of interventions for social good. Drawing on tools from optimization, machine learning, mathematical modeling, and statistics, her work aims to develop new analytical methods that have impact in the public and non-profit sectors. Through her focus on intervention design, Elisabeth’s research addresses broader topics related to fairness, personalization/targeting, and explainability.
Elisabeth’s work to date is primarily in the domains of food and immigration policy. Her food policy work focuses on interventions for creating better access to, and consumption of, fresh food. Her work on immigration policy centers around the data-driven geographic assignment of refugees and asylum seekers. Elisabeth believes in partnership-oriented research, and much of her work to date is motivated by, and in collaboration with, NGOs and government entities.
Prior to joining HBS, Elisabeth was a Postdoctoral Fellow at the Immigration Policy Lab at Stanford University, where she remains a Faculty Affiliate. She received her PhD in Operations Research from MIT in 2021, supported by an NSF Graduate Research Fellowship. Elisabeth received her B.S. in Math, B.S. in Statistics, and M.A. in Math from the Pennsylvania State University.
For more information, please visit:
https://elisabethpaulson.github.io/
- Journal Articles
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- Paulson, Elisabeth, and Christopher Griffin. "Better Timing of Cyber Conflict." In Proceedings of the Third ASE International Conference on Cyber Security. Los Angeles, CA: Academy of Science and Engineering, 2014. View Details
- Paulson, Elisabeth, and Christopher Griffin. "Deriving an Optimally Deceptive Policy in Two-Player Iterated Games." In Proceedings of 2016 American Control Conference. IEEE Press, 2016. (Developed with Booz Allen Hamilton.) View Details
- Griffin, Christopher, and Elisabeth Paulson. "Optimal Process Control of Symbolic Transfer Functions." In Proceedings of the 10th International Workshop on Feedback Computing. IEEE, 2015. View Details
- Paulson, Elisabeth C., Igor Linkov, and Jeffrey Keisler. "A Game Theoretic Model for Resource Allocation Among Countermeasures with Multiple Attributes." European Journal of Operational Research 252, no. 2 (July 16, 2016): 610–622. View Details
- Chen, Lu, Donovan Guittieres, Retsef Levi, Elisabeth Paulson, Georgia Perakis, Nicholas Renegar, and Stacy Springs. "Public Health Risks Arising from Food Supply Chains: Challenges and Opportunities." Special Issue on OR Models for Developmental Studies. Naval Research Logistics Quarterly 68, no. 8 (2021): 1098–1112. View Details
- Paulson, Elisabeth, and Christopher Griffin. "Cooperation Can Emerge in Prisoner’s Dilemma from a Multi-species Predator Prey Replicator Dynamic." Mathematical Biosciences 278 (August 2016): 56–62. View Details
- Working Papers
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- Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Harvard Business School Working Paper, No. 23-048, January 2022. View Details
- Freund, Daniel, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, and Wentao Weng. "Group Fairness in Dynamic Refugee Assignment." Harvard Business School Working Paper, No. 23-047, February 2023. View Details
- Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households." MIT Sloan Research Paper, No. 6053-19, November 2019. View Details
- Harsha, Pavithra, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson, and Georgia Perakis. "Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty." MIT Sloan Research Paper, No. 6172-20, October 2020. View Details
- Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020. View Details
- Areas of Interest
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- analytics
- machine learning
- nonprofit
- operations management
- decision-making
- government and business
- incentives
- service management
- sustainability
- agriculture
- federal government
- grocery
- nonprofit industry
- state government
- Europe
- North America
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