Machine Learning in the Social Sciences:
An Accessible Introduction
Thursday, January 12th 9:30 a.m. - 1:50 p.m. (EST)
Dr. Jeff Gill
Distinguished Professor in the Department of Government and the Department of Mathematics, American University
In this workshop, Dr. Gill will walk participants through the foundations of machine learning and its relevant applications in the social sciences. He will outline how machine learning can be employed to handle big data and introduce you to some of the basic tools one would need to get started, including some of the many data sources from which social scientists might wish to pull data. He will explore the key ethical matters that must be considered, the regulatory frameworks currently in place that limit acquisition and use of data, and some of the ways in which data science through machine learning can help contribute to positive societal changes.
What is it and how is it different in the social sciences?
Applications in the social sciences
Tools for machine learning
Other training resources
Acquiring and generating data
Ethics & Regulations
Positive contributions and outcomes
Preparing for Machine Learning in the Social Sciences: Intermediate
Readings & Resources
Gill, Jeff. 2021. “Political Science Is a Data Science.” The Journal of Politics 83 (1): 1–7. https://doi.org/10.1086/711611.
Audience & Prerequisites
This workshop is designed as an accessible introduction. Only an introductory statistics course is a necessary prerequisite. Through this workshop, participants will gain an appreciation of the data-driven approach to research in the social sciences and receive useful insights into its advantages and disadvantages, as well as the various paths available to acquire the necessary tools and the utility of such expertise.