Email Address: firstname.lastname@example.org
THOMAS BRYAN SMITH is a University of Florida post-doctoral associate at the Bureau of Economic and Business Research (BEBR) Network Science Lab, funded by the Clinical and Translational Science Institute (CTSI). As a computational social scientist, Thomas’ research leverages network science, natural language processing, and machine learning to examine the relationship between networks of social support and criminal behavior, assess and evaluate the translation of crime and health research into policy and practice, and analyze the structural and dyadic predictors of scientific collaboration, innovation, and synergy.
- Ph.D UNIVERSITY OF FLORIDA (2015-2020) Department of Sociology and Criminology & Law
- M.S. UNIVERSITY OF PENNSYLVANIA (2014-2015) Department of Criminology
- B.A. UNIVERSITY OF BIRMINGHAM (2011-2014) Department of Political Science and International Studies
Smith, Thomas Bryan, Raffaele Vacca, Luca Mantegazza, & Ilaria Capua (2021) Natural language processing and network analysis provide novel insights on policy and scientific discourse around Sustainable Development Goals. Scientific Reports, 11:22427. DOI:10.1038/s41598-021-01801-6.
Smith, Thomas Bryan, Till Krenz, Raffaele Vacca, & Christopher McCarty (2021). Great minds think alike, or do they often differ? Research topic overlap and the formation of scientific teams. Journal of Informetrics, 15(1): 101104. DOI:10.1016/j.joi.2020.101104.
Smith, Thomas Bryan (2021). Gang crackdowns and offender centrality in a countywide co-offending network: A networked evaluation of Operation Triple Beam. Journal of Criminal Justice, 73: 101755. DOI:10.1016/j.jcrimjus.2020.101755.
Smith, Thomas Bryan & Chris L. Gibson (2020). Marital Strain, Support, and Alcohol Use: Results from a Twin Design Statistically Controlling for Genetic Confounding. Substance Use & Misuse, 55(3): 429-440. DOI:10.1080/10826084.2019.1683202.
Novak, Abigail, Brian B. Boutwell, & Thomas Bryan Smith (2023) Taking the problem of colliders seriously in the study of crime: A research note. Journal of Experimental Criminology. DOI:10.1007/s11292-023-09565-x
Revise & Resubmit:
Smith, Thomas Bryan, Luca Mantegazza, Raffaele Vacca, & Ilaria Capua (2023) Identifying theoretical and conceptual bridges between the Sustainable Development Goals using a novel topic embedding model: a good health and well-being case study. Globalization and Health.
Smith, Thomas Bryan, Ruijie Mao, Stan Korotchenko, & Marv Krohn (2023) Partners in criminology: machine learning and network science reveal missed opportunities and inequalities in the study of crime. Journal of Quantitative Criminology.