Jared F. Edgerton
RESEARCH AGENDA
My research spans international security, subnational conflict, and complex systems modeling. Specifically, I study the social origins of conflict, focusing on how networked relations, group membership, and intergroup polarization contribute to subnational and international conflict dynamics. My work encompasses three main projects: (1) analyzing participation in political violence, (2) evaluating the impact of group identity on conflict processes, (3) investigating how networked relations influence domestic and inter-state conflicts. To delve into these areas, I use complex system modeling strategies, incorporating machine learning, natural language processing, and network analysis.
I have eleven peer-reviewed articles, two manuscripts invited for revision, several grants, and multiple papers under review. My publications appear in journals such as the American Journal of Political Science, Journal of Politics, and Journal of Conflict Resolution. At the University of Texas at Dallas (UTD), I've secured numerous grants, including a standout $1.5 million NSF research grant where I serve as senior personnel.
Beyond my individual research on conflict processes, international security, and artificial intelligence, I'm involved with several labs and research groups. I'm currently with the Human Trafficking Data Lab at Stanford and the University of Texas at Dallas Event Data Group led by Patrick Brandt. I've also collaborated with the Modeling Emergent Social Order Lab, formerly directed by Bear Braumoeller at OSU, and the Network Interdependence in Social Systems Lab overseen by Skyler Cranmer at OSU. While many projects I partake in study inter- and intrastate conflict using quantitative methods, I also venture outside this realm, driven by my interests in deep learning, network science, natural language processing. Alongside these lab engagements, I have ongoing projects with peers like Sarah Brooks at OSU, Chris Blair at Princeton, Selena Wang at Yale, and several others.
