L. Jason Anastasopoulos

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Jake Ryland WilliamsAssistant Professor of Information Science, Drexel UniversityZweryfikowany adres z drexel.edu
Andrew B. WhitfordCrenshaw Professor of Public Policy, University of GeorgiaZweryfikowany adres z uga.edu
George BorjasHarvard Kennedy SchoolZweryfikowany adres z harvard.edu
Temirlan T. MoldoğazıO'Neill School of Public & Environmental Affairs, Indiana UniversityZweryfikowany adres z iu.edu
Tyler A ScottAssociate Professor, University of California, DavisZweryfikowany adres z ucdavis.edu
Michael LachanskiUniversity of PennsylvaniaZweryfikowany adres z sas.upenn.edu
Gavin G. CookPhD Candidate, Department of Sociology, Princeton UniversityZweryfikowany adres z princeton.edu
Gregory A. PorumbescuDepartment of Public Administration and Policy, University of GeorgiaZweryfikowany adres z uga.edu
Donald MoynihanFord School of Public Policy, University of MichiganZweryfikowany adres z umich.edu
Asmus Leth OlsenProfessor, Department at Political Science, University of CopenhagenZweryfikowany adres z ifs.ku.dk
Shiry GinosarAssistant Professor, TTIC and Visiting Faculty Researcher, Google DeepMindZweryfikowany adres z ttic.edu
Dhruvil Deven BadaniPinterest Inc.Zweryfikowany adres z pinterest.com
Aaron R. KaufmanNew York University Abu DhabiZweryfikowany adres z nyu.edu
Reagan MozerBentley UniversityZweryfikowany adres z bentley.edu
Luke MiratrixAssociate Professor, Harvard Graduate School of EducationZweryfikowany adres z g.harvard.edu
Zachary Steinert-ThrelkeldUniversity of California - Los AngelesZweryfikowany adres z luskin.ucla.edu
Jungseock JooPrincipal Engineer, Nvidia; Associate Professor, UCLAZweryfikowany adres z cs.ucla.edu
Nan Miles XiSenior Manager, AbbvieZweryfikowany adres z abbvie.com
Anthony BertelliPennsylvania State University and Barcelona Institute of International Studies (IBEI)Zweryfikowany adres z psu.edu
Jeff YatesProfessor of Political Science, Binghamton UniversityZweryfikowany adres z binghamton.edu

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L. Jason Anastasopoulos

Associate Professor of Public Administration and Policy and Statistics, University of Georgia

Zweryfikowany adres z uga.edu - Strona główna

Political Science Public Administration Causal Inference Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Machine learning for public administration research, with application to organizational reputation LJ Anastasopoulos, AB Whitford Journal of Public Administration Research and Theory 29 (3), 491-510, 2019	158	2019
Matching with text data: An experimental evaluation of methods for matching documents and of measuring match quality R Mozer, L Miratrix, AR Kaufman, LJ Anastasopoulos Political Analysis 28 (4), 445-468, 2020	92	2020
Understanding the political ideology of legislators from social media images N Xi, D Ma, M Liou, ZC Steinert-Threlkeld, J Anastasopoulos, J Joo Proceedings of the international AAAI conference on web and social media 14 …, 2020	69	2020
Estimating the gender penalty in House of Representative elections using a regression discontinuity design L Anastasopoulos Electoral Studies 43, 150-157, 2016	64	2016
Understanding delegation through machine learning: A method and application to the European Union LJ Anastasopoulos, AM Bertelli American Political Science Review 114 (1), 291-301, 2020	48	2020
The adoption of robotics by government agencies: evidence from crime labs AB Whitford, J Yates, A Burchfield, JL Anastasopoulos, DM Anderson Public Administration Review 80 (6), 976-988, 2020	28	2020
When blame avoidance backfires: Responses to performance framing and outgroup scapegoating during the COVID‐19 pandemic G Porumbescu, D Moynihan, J Anastasopoulos, AL Olsen Governance 36 (3), 779-803, 2023	23	2023
Organizational context and budget orientations: A computational text analysis LJ Anastasopoulos, TT Moldogaziev, T Scott International Public Management Journal 23 (2), 292-313, 2020	23	2020
Detecting and punishing unconscious bias PE Tetlock, G Mitchell, LJ Anastasopoulos The Journal of Legal Studies 42 (1), 83-110, 2013	23	2013
A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data LJ Anastasopoulos, JR Williams Plos one 14 (3), e0212834, 2019	22	2019
Job vacancies and immigration: Evidence from the Mariel supply shock LJ Anastasopoulos, GJ Borjas, GG Cook, M Lachanski Journal of Human Capital 15 (1), 1-33, 2021	20	2021
Job vacancies and immigration: Evidence from pre-and post-mariel miami J Anastasopoulos, GJ Borjas, GG Cook, M Lachanski National Bureau of Economic Research, 2018	19	2018
Photographic home styles in Congress: a computer vision approach LJ Anastasopoulos, D Badani, C Lee, S Ginosar, J Williams arXiv preprint arXiv:1611.09942, 2016	17	2016
Job vacancies, the Beveridge curve, and supply shocks: The frequency and content of help-wanted ads in pre-and post-Mariel Miami J Anastasopoulos, GJ Borjas, GG Cook, M Lachanski National Bureau of Economic Research, 2018	11	2018
Political image analysis with deep neural networks LJ Anastasopoulos, D Badani, C Lee, S Ginosar, JR Williams University of Georgia, United States, 2017	8	2017
Motivated reasoning and blame: Responses to performance framing and outgroup triggers during covid-19 GA Porumbescu, D Moynihan, J Anastasopoulos, AL Olsen arXiv preprint arXiv:2009.03037, 2020	7	2020
Computational text analysis for public management research: An annotated application to county budgets LJ Anastasopoulos, TT Moldogaziev, TA Scott	7	2017
Migration, immigration, and the political geography of American cities LJ Anastasopoulos American Politics Research 47 (2), 362-390, 2019	5	2019
Identifying violent protest activity with scalable machine learning L Anastasopoulos, J Williams Working paper, 2016	3	2016
Principled estimation of regression discontinuity designs with covariates: a machine learning approach J Anastasopoulos arXiv preprint arXiv:1910.06381, 2019	2	2019

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