معرفی
Vito D’Orazio is an Associate Professor in the Department of Political Science at West Virginia University (WVU), affiliated with the John D. Rockefeller IV School of Policy and Politics. He holds the Woodburn Professorship. His research bridges Political Science and Data Science, focusing on conflict forecasting, militarized disputes, predictive modeling, machine learning, and natural language processing for content analysis. He co-leads the Militarized Interstate Dispute (MID) project and the UTD Event Data project, supported by NSF and DARPA grants.
Education: Ph.D. in Political Science from Pennsylvania State University (2013), with concentrations in International Relations, Political Methodology, and Information Science. Previously, he taught at the University of Texas at Dallas and was a postdoctoral researcher in data science at Harvard University’s Institute for Quantitative Social Science.
Research interests include conflict forecasting systems, AI-driven methods for political violence analysis, and software development for social science. His work emphasizes automated machine learning (AutoML), domain-specific language models (e.g., ConfliBERT-Spanish/Arabic), and event data coding frameworks.
Grants: National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA). Collaborations: MID dataset updates via crowdsourcing, cross-lingual NLP tools for conflict analysis.
Labs/Teams: Co-Principal Investigator (Co-PI) on MID and UTD Event Data projects, leading interdisciplinary teams in conflict data science.
