Date of Award
5-2023
Document Type
Open Access Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Business Administration
First Advisor
Jeffrey Keisler
Second Advisor
Ehsan Elahi
Third Advisor
Amit Patel
Abstract
Public policy decision-making is challenging for several reasons. First, the outcomes of pulling a public policy lever are often deeply uncertain because of the complexity of the social and physical systems involved. Second, even if outcomes can be predicted, there are multiple points of view to consider, and the same outcome can be viewed anywhere from very positively to very negatively by different stakeholders. Because of this, public policy decisions should be both robust and just. Robustness helps with the uncertainty in outcomes and justice helps with differences in worldview. In this dissertation, I employ system dynamics and agent-based simulation modeling techniques to assist decision-making in two public policy contexts: COVID-19 non-pharmaceutical interventions and police funding. I also develop a framework in which both robustness and justice can be handled simultaneously in complex public policy problems.
Recommended Citation
Mitcham, Jack, "Simulation Modeling for Robust and Just Public Policy Decision-Making" (2023). Graduate Doctoral Dissertations. 814.
https://scholarworks.umb.edu/doctoral_dissertations/814
Included in
Business Administration, Management, and Operations Commons, Management Information Systems Commons, Public Policy Commons