Github: https://github.com/ljanastas/.

CV: Download here.

Google Scholar: https://scholar.google.com/citations?user=I9yQIZ0AAAAJ&hl=en.

Publications and works in progress

BOOKS

• Inventing the Leviathan: How Technology Created the Administrative State.

• Practical Machine Learning and Artificial Intelligence for Social Research (with Jie (Jason) Lian).

WORKING PAPERS

• Artificial Intelligence, Bureaucratic Discretion, and Democratic Administration

• Identity, AI and algorithmic governance: evidence from criminal justice risk assessments (w/ Micah Gell-Redman)

• Mapping the Temporal Evolution of Causal Effects in Public Administration and Policy Research (w/ Inkyu Kang)

PEER REVIEWED PUBLICATIONS

• 2025. Anastasopoulos, L. Jason and Jie Lian. “Delegation Across Democracies: Using AI to Study Political Institutions at Scale.” Journal of Political Institutions and Political Economy. 6.3–4 (2025): 385-406.

• 2024. Anastasopoulos, L. Jason, Dhruvil Badani, Shiry Ginosar, and Jake Ryland Williams. "Visible home style." Electoral Studies 90 (2024): 102794.

• 2023. Sonja R. West, Jonathan Peters, and L. Jason Anastasopoulos, ``All the News That's Fit to Be Identified: Facilitating Access to High Quality News Through Internet Platforms'', Colorado Technology Law Journal. Volume 21, Issue 1.

• 2022. Porumbescu, Gregory, Donald Moynihan, L. Jason Anastasopoulos, and Asmus Leth Olsen. ``When blame avoidance backfires: Responses to performance framing and outgroup scapegoating during the COVID‐19 pandemic.'' Governance.

• 2021. Anastasopoulos, L. Jason, George J. Borjas, Gavin G. Cook, and Michael Lachanski. "Job Vacancies and Immigration: Evidence from the Mariel Supply Shock." Journal of Human Capital 15, no. 1 (2021): 1-33.

• 2020. Andrew B. Whitford, Jeff Yates, Adam Burchfield, L. Jason Anastasopoulos and Derrick Anderson. ``The Adoption of Robotics by Government Agencies: Evidence from Crime Labs.'' Public Administration Review.

• 2020. Jason Anastasopoulos and Anthony Bertelli. ``Understanding Delegation Through Machine Learning: A Method and Application to the European Union.'' American Political Science Review.

• 2020. L. Jason Anastasopoulos, Tima Moldogaziev and Tyler Scott. ``Organizational Context and Budget Orientations: A Computational Text Analysis.'' International Public Management Journal.

• 2020. Mozer, Reagan, Luke Miratrix, Aaron Russell Kaufman, and L. Jason Anastasopoulos. "Matching with text data: An experimental evaluation of methods for matching documents and of measuring match quality." Political Analysis. 28, no. 4 (2020): 445-468.

• 2019. Di Ma, Marcus Liu, Zachary Steinert-Threlkeld, L. Jason Anastasopoulos, and Jungseock Joo. “Understanding the Political Ideology of Legislators from Social Media Photographs”. ICWSM 2020: 14th International Association for the Advancement of Artificial Intelligence (AAAI) Conference on Web and Social Media.

• 2019. L. Jason Anastasopoulos and Jake Williams. ``A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.'' PLoS ONE 14(3): e0212834. \\ \url{https://doi.org/10.1371/journal.pone.0212834}.

• 2019. L. Jason Anastasopoulos and Andy Whitford. ``Machine Learning for Public Administration Research,with Application to Organizational Reputation.'' Journal of Public Administration Research and Theory.

• 2017. L. Jason Anastasopoulos. ``Migration, Immigration, and the Political Geography of American Cities.'' American Politics Research.

• 2016. L. Jason Anastasopoulos. ``Estimating the gender penalty in House of Representative elections using a regression discontinuity design.'' Electoral Studies 43: Pages 150-157.

• 2013. Phil Tetlock, Gregory Mitchell and L. Jason Anastasopoulos. ``Detecting and Punishing Unconscious Bias''. \textit{Journal of Legal Studies} 42(1): 83-110.