My dissertation focuses on methods for working with multilayer network representations of complex interdependent systems. I apply these methods to examine the influence transnational actors have on international cooperation.
Statistical Inference for Multilayer Networks in Political ScienceAbstract Interactions between units in political systems often occur across multiple relational contexts. These relational systems feature interdependencies that result in inferential shortcomings and poorly-fitting models when ignored. General advancements in inferential network analysis have improved our ability to understand relational systems featuring interdependence, but developments specific to working with interdependence that cross relational contexts remain sparse. In this paper, I introduce a multilayer network approach to modeling systems comprising multiple relations using the exponential random graph model (ERGM). In two substantive applications, the first a policy communication network and the second a global conflict network, I demonstrate that the multilayer approach affords inferential leverage and produces models that better fit observed data.
The Pugwash Movement’s Effect on International Nuclear DisarmamentAbstract In this paper I examine whether a transnational community of scientists acting as informal diplomats is effective in inducing states to join the international nuclear regime. Concerns over nuclear buildup and proliferation remain salient and constant in today’s global environment. While there is evidence that nuclear arms control agreements are effective in reducing the spread of nuclear weapons, our understanding of what induces states to sign onto these agreements remains nascent. Drawing on the transnational relations literature, I argue that in addition to commonly-identified factors such as economic and security dependence between joiners, transnational scientific communities can exert influence over state behaviour in the realm of nuclear cooperation. Using archival data, I construct a multilayer network comprising states in the international system and individuals from the scientific community dedicated to nuclear disarmament. I model this network using an exponential random graph model, and examine whether these scientists systematically induced states to join the international nuclear regime and the conditions under which they were most effective.
- Poster for ISA 2018
Social Activity Hubs: Estimating User Specific Contextual Factors from Social Media Data
- Peer-reviewed paper published in Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas
- Coauthored with Paul Zachary and Christopher Fariss
Policy-Balancing and Ticket-Splitting: Problems with ‘Preference for Checks and Balances’ in Taiwanese Electoral Studies
- Paper published in Japanese Journal of Political Science
- Coauthored with Tzu-Ping Liu and Chung-li Wu
Public–Private Partnerships for the Development of Disaster Resilient Communities
The Effect of Disaster-induced Displacement on Social and Political Behaviour: The Case of Hurricane Harvey
- Collaborative project with Christopher Fariss
- Working Paper and Presentation for the 2018 Toronto Political Behaviour Workshop
- NSF Award
Who Protests? Using Social Media Data to Solve Ecological Inference Problems in Studies of Mass Behavior
- Collabrative project with Paul Zachary and Christopher Fariss
Reconstructing the Transnational Human Trafficking Network
Inferential Analysis of the Supreme Court Citation Network
- Collaborative project with Christian Schmid, Bruce Desmarais, and David Hunter
- GitHub Repository
- Presentation for APSA 2018
How Does the Historical Legacy of Local Level Casualties Affect Public Opinion of War?
Formal and Informal Diplomacy in the Asia Pacific Region, 1993-2008
- Presentation for APSA 2017