January 4 to January 9, 2021 | University of Arizona | Virtual event



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Thomas Davidson
Thomas Davidson is a PhD candidate in Sociology at Cornell University. In fall 2020 he will be an Assistant Professor of Sociology at Rutgers University. He studies political discussions, hate speech, and other topics using digital trace data. His research involves a number of different computational methods including machine learning, natural language processing, and social network analysis.
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Yotam Shmargad
Yotam Shmargad is an Assistant Professor in the School of Government & Public Policy at the University of Arizona. His research focuses on understanding how social media platforms shape political life in the United States. He uses a mix of statistical and computational methods, including social network analysis, online data collection, virtual experimentation, sentiment analysis, and machine learning.


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Annie Boustead
Annie Boustead researches legal and policy issues related to electronic surveillance, privacy, policing, and drug policy. She is particularly interested in empirically studying law enforcement surveillance, and evaluating the impact of policies regulating this surveillance. She has a Ph.D. from the Pardee RAND Graduate School, where her dissertation focused on the interplay between commercial data collection and law enforcement surveillance, and a J.D. from Fordham University School of Law.
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Ronald Breiger
Ronald Breiger, Regents Professor and Professor of Sociology at the University of Arizona, holds affiliations with the School of Government & Public Policy, the Graduate Interdisciplinary Program in Applied Mathematics, and the Graduate Interdisciplinary Program in Statistics & Data Science. His work is on social networks, adversarial networks, stratification, mathematical models, theory, and measurement issues in cultural and institutional analysis. He is the 2020 recipient of the Paul F. Lazarsfeld Award of the American Sociological Association Section on Methodology, recognizing a scholar who has made a career of outstanding contributions to methodology in sociology.
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Frank Gonzalez
Frank is an Assistant Professor in the School of Government and Public Policy (SGPP) at the University of Arizona. His research strengths lay primarily in political psychology, experimental design and quantitative methods. His current research involves using work from political psychology, social neuroscience, and evolutionary psychology to understand attitudes toward race, class, inequality and hierarchy.
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Robert Henderson
My research is in formal semantics with a special focus on the indigenous languages of Mesoamerica, languages on which I have done many years of fieldwork. I am particularly excited about using tools from the natural language processing world to speed the annotation, documentation, and description of endangered languages.
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Samara Klar
Samara Klar is an Associate Professor of Political Science at the University of Arizona School of Government & Public Policy. Dr. Klar studies why voters support policies and candidates, especially given the influence of their personal and social identities, their social networks, and their information environments. Her award-winning book, Independent Politics: How American Disdain Leads to Political Inaction (Cambridge University Press 2016), explains why so many Americans identify as politically independent and what the consequences are for American democracy.
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Javier Osorio
Javier Osorio is an Assistant Professor in the School of Government and Public Policy at the University of Arizona. His research focused on understanding the micro-foundations and dynamics of political and criminal violence in Latin America. To address this research agenda, he uses natural language processing, quasi-experimental and experimental techniques, geographic information systems, and big data analytics.
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Fernando Sanchez
Fernando Sanchez is an Assistant Professor in the School of Geography, Development & Environment at the University of Arizona. A quantitative researcher with academic experience in both STEM and the social sciences, his research has evolved in the context of spatial statistics and geocomputation to identify interactions between landscape dynamics, regional development, and the human dimensions of the environment.
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Lisa Sanchez
Lisa M. Sanchez is an assistant professor in the School of Government and Public Policy at the University of Arizona. She holds a master’s degree in American politics and public policy and a doctorate in political science with distinction from the University of New Mexico. She is an alumnus of the APSA Minority Fellows program and the Robert Wood Johnson Center for Health Policy. Her research utilizes quantitative methodologies to root out ethno-racial disparities in American politics, understand how disparities are perpetuated through the American political system, and address how they might be mitigated. As a result, her research spans many specialties within the field of American politics including Congressional politics, public policy (health and immigration), identity politics, state politics, political identity, and political participation. Recent projects analyze the adoption of beneficial immigration policies in the American states, the prevalence of cross-racial linked fate among Americans of all racial and ethnic backgrounds, and the relationship between a rising U.S. Latino population and its electoral impacts within the U.S. Congress.

Teaching Assistants

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Alejandro Beltran
Alejandro Beltran is a PhD candidate at the School of Government and Public Policy at the University of Arizona. His research broadly explores corruption and violence in Mexico. In his dissertation he identifies the institutional and political determinants of corruption investigations performed by subnational audit agencies. A separate research agenda explores the diversification of drug trafficking organizations into fentanyl and its consequences on violence. As a computational social scientist, he uses machine learning and natural language processing to generate quantitative measures of these phenomena and implements methods for causal inference in his empirical work.
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Kelsey Gonzalez
Kelsey E. Gonzalez is a PhD Candidate in the School of Sociology at the University of Arizona. Her research uses computational social science, network analysis and statistical methods to investigate social networks, the social determinants of health, and racial and panethnic identities. Outside of her research, she is a Carpentries instructor, Carpentries lesson maintainer and an avid R user.


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