Biography
Raymond Hicks has been working with Columbia University’s History Lab since 2017. While at History Lab, he helped build pipelines to run topic modeling and Named Entity Recognition on more than 4 million declassified government documents. His work at Columbia bridges data science and historical research, focusing on improving access to and analysis of government archives through natural language processing and machine learning methods. Before starting at Columbia, he worked as the Statistical Programmer for the Niehaus Center for Globalization and Governance at Princeton University. His research interests include monetary policy, trade policy, and statistics and his work has appeared in the Journal of Politics, International Organization, and the British Journal of Political Science, among other journals.
0D Introduction to Python for Social Scientists
3G Text Analysis for Social Scientists: Utilizing LLM-Assisted Coding
