Raymond Hicks received his PhD from Emory in Political Science. He worked for 10 years as Statistical Programmer at the Niehaus Center for Globalization and Governance at Princeton University. Recently, he moved to Columbia University where is the Project Manager for the History Lab. His research interests include monetary and trade policy and his worked has appeared in The Journal of Politics, the British Journal of Political Science, and International Organization among other journals.

Course Content
The goal of this workshop is to provide an introduction to the use of digitalized text. Humanities scholars stand poised to benefit from exciting new technologies in text analysis. Machine-learning tools can help scholars quickly process large amounts of text from nearly any imaginable source. “Text as data” can offer compelling new insights into research questions and scholarly topics in the humanities. Focusing on textual data from History Lab – a comprehensive resource that has culled millions of declassified government documents from the U.S., United Kingdom, and Brazil – we will cover the beginning aspects of examining digitalized text.

Course Objectives
At the end of the course, participants should be comfortable with the basics of digitalized text. This includes understanding the structure of the data, what can and cannot be done with digital data, and some simple techniques in analysing the data. They should be able to open text data from a variety of sources and understand its formatting.

Course Prerequisites
The course is an introduction to digital text. Some familiarity with computers is necessary. We will be using a couple of different packages to examine the data so some experience with computer languages would be helpful.

The course is a two week, full time course comprising 10 days of three and a half hours each.