Daniel Kent is a Ph.D. Candidate specializing in Quantitative Methods and International Relations. His dissertation applies techniques from network science and machine learning to measurement challenges in international politics, particularly with respect to a country's social position and tendency to initiate militarized conflicts. He also explores how, across various social domains, certain environments are more prone to isolation and exclusion than others.
Additional projects and interests include: statistical techniques for modeling time-varying effects, the politics of multilateral military coalitions, predictive models of civil conflict, and assessing the malleability of U.S. public opinion regarding the threat posed by terrorism.
Prior to Ohio State, Daniel earned a B.A in International Relations at the University of California, Davis. You can find his CV at his website: https://dnkent.github.io.