
About
William Lowe is a Senior Research Scientist at the Hertie School, specializing in legislative politics, political economy, and public policy. He employs advanced statistical models of text and causal inference methodologies in his research. Previously, he served as a Senior Research Specialist and Lecturer in the Department of Politics at Princeton University.
- Education: PhD in Cognitive Science (University of Edinburgh), BA in Philosophy (University of Warwick)
- Former Affiliations: Harvard University, Trinity College Dublin, University of Nottingham, Mannheim Centre for European Social Research (MZES)
His methodological expertise includes textual data analysis and causal inference, with applications spanning monetary policy, health policy, and political polarization. Recent publications address:
- Central bank communication and public opinion
- EU regulatory lobbying strategies
- Cross-national vaccination prioritization
- Racial bias in policing
He contributes to the development of open-source tools like quanteda for text analysis and has explored machine translation quality estimation and human-AI collaboration in policy contexts.
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