daniel de kadt

    teaching (i do not always teach these classes)

    MY457: causal inference for observational and experimental settings

    MY472: data for data scientists

    MY580: reprodicible pipelines in R for social scientific research

     

    POLI003: introduction to comparative politics (last taught 2021)

    POLI260: comparative political behaviour (last taught 2020)

    POLI219: model-based inference (last taught 2019)



    I'm a social and data scientist interested in how to make credible causal inferences in ambiguous and complex settings. My substantive interests include decision making, democracy, and South Africa.

     

    I am an Assistant Professor of quantitative research methodology at the London School of Economics, an affiliate of the LSE Data Science Institute, and a Senior Visiting Fellow in Government. I completed my PhD at MIT. From 2017 to 2021 I was an assistant professor of political science at the University of California Merced. From September 2021 through January 2022 I was a Senior Data Scientist at Deliveroo in London, UK.

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