Vito D’Orazio joined WVU in 2022 as an Associate Professor of Political Science and Data Sciences. Prior to that, he was on the faculty at the University of Texas at Dallas and was a postdoctoral researcher in data science at Harvard University’s Institute for Quantitative Social Science. He received a PhD in Political Science from the Pennsylvania State University, with concentrations in International Relations, Political Methodology, and Information Science and Technology.
His research interests span Political Science and Data Science. Topics include conflict forecasting, militarized disputes, predictive modeling, machine learning, natural language processing for content analysis, and software and systems development. He is a Co-PI on the Militarized Interstate Dispute project and the UTD Event Data project. His work has been funded by the National Science Foundation and the Defense Advanced Research Projects Agency.
Ph.D., Political Science, Pennsylvania State University,
M.A., Political Science, Pennsylvania State University, 2010
B.A., Political Science, Binghamton University, 2008
A.A., Liberal Arts, Nassau Community College, 2006
2022. “Forecasting Conflict in Africa with Automated Machine Learning Systems.” Vito D’Orazio and Yu Lin. International Interactions. doi.org/10.1080/03050629.2022.2017290.
2022. “Conflict Forecasting with Event Data and Spatio-Temporal Graph Convolutional Net- works.” Patrick Brandt, Vito D’Orazio, Latifur Khan, Yi-Fan Li, Javier Osorio, and Marcus Sianan. International Interactions. doi.org/10.1080/03050629.2022.2036987.
2022. “ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence.” Yibo Hu, Mohammad Saleh Hosseini, Erick Skorup Parolin, Javier Osorio, Latifur Khan, Patrick Brant, Vito D’Orazio. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). Seattle, Jul 2022.
2021. “CoMe-KE: A New Transformers Based Approach for Knowledge Extraction on Conflict and Mediation Domain.” Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick T. Brandt, and Vito D’Orazio. IEEE International Conference on Big Data (IEEE BigData), pp 1449-1459.
2021. “An Ecosystem of Applications for Modeling Political Violence.” Sonia Castelo, Remi Rampin, Aecio Santos, Mike Shoemate, Vito D’Orazio, and Juliana Freire. 2021 ACM Inter- national Conference on Management of Data (SIGMOD), pp 2384-2388.
2021. “The MID5 Dataset, 2011-2014: Procedures, Coding Rules, and Description.” Glenn Palmer, Roseanne McManus, Vito D’Orazio, Michael Kenwick, Mikaela Karstens, Chase Bloch, Nick Dietrich, Kayla Kahn, Kellan Ritter, and Michael Soules. Conflict Management and Peace Science. doi.org/10.1177/0738894221995743.