Will Lowe is Senior Research Scientist at the Hertie School. His research spans legislative politics, for example, ideal point estimation and government opposition conflict, as well as political economy, for example, estimating central banker preferences and determinants of inflation expectations, and most recently public policy, focusing on the causal inference behind estimates of racial bias in policing. Methodologically he is interested in statistical models of text and in causal inference. He joins the Hertie School from Princeton University where he was Senior Research Specialist and a Lecturer in the Department of Politics. He has a PhD in Cognitive Science from the University of Edinburgh, a Bachelor of Arts in Philosophy from the University of Warwick, and has previously held postdoctoral positions at Harvard University, the University of Nottingham, and the MZES.
D. Knox, W. Lowe and J. Mummolo (forthcoming) 'Administrative records mask racially biased policing'. American Political Science Review.
S.-O. Proksch, W. Lowe, and J. Wäckerle and S. Soroka (2019) Multilingual sentiment analysis: A new approach to measuring conflict in parliamentary speeches. Legislative Studies Quarterly 44:97-131.
N. Baerg and W. Lowe (2018) A textual Taylor Rule: Estimating central bank preferences combining topic and scaling methods. Political Science and Research Methods.
Y. Theocharis and W. Lowe (2016) Does Facebook increase political participation? Evidence from a field experiment. Information, Communication and Society 19(2): 1465-1486.
J.-H. Meyer-Sahling, W. Lowe, and C. van Stolk (2016) Silent professionalization: EU integration and the professional socialization of public officials in Central and Eastern Europe. European Union Politics. 17(1) 162-183
Y. Theocharis, W. Lowe, J. W. van Deth, and G. M. García-Albacete. (2015) Using Twitter to mobilise protest action: Transnational online mobilisation patterns and action repertoires in the Occupy Wall Street, Indignados and Aganaktismenoi movements. Information, Communication and Society. 18(2) 202-220
W. Lowe and K. R. Benoit (2013) Validating estimates of latent traits from textual data using human judgment as a benchmark. Political Analysis. 21(3): 298-313
S. C. Carey, N. J. Mitchell, W. Lowe (2013) States, the security sector, and the monopoly on violence: A new database on pro-government militias. Journal of Peace Research 50(2): 249-258
K. Benoit, M. Laver, W. Lowe, and S. Mikhaylov (2012) How to scale coded text units without bias: A response to Gemenis. Electoral Studies 31(3): 605-608.
W. Lowe, K. Benoit, S. Mikhaylov, and M. Laver (2011) Scaling policy positions from coded units of political texts. Legislative Studies Quarterly 36(1): 123-155
J. Sullivan and W. Lowe (2010) Chen Shui-bian: On independence. China Quarterly 203: 619-638.
W. Lowe (2008) Understanding Wordscores. Political Analysis 16(4): 356-371
E. Jenne, S. Saideman, W. Lowe (2007) Separatism as a bargaining posture: The role of leverage in minority radicalization. Journal of Peace Research 44(5): 537-556
G. King and W. Lowe (2003) An automated information extraction tool for international conflict data with performance as good as human coders: A rare events evaluation design'. International Organization 57: 617-642.