F&ES 611a / 2017-2018

Data Science for Social Research: An Introduction

Credits: 3
Fall 2017: Th, 1:00-3:50, 380 Edwards

This seminar provides an introduction to a rapidly growing and promising area of social scientific research that has accompanied the explosion of data in our digital age, as nearly every aspect of life is now connected (e.g., mobile phones, smart devices, social media) and digitized (book archives, government records, websites, communication). Students are introduced to various techniques and software for collecting, cleaning, and analyzing data at large scales, especially text data (e.g., machine learning, topic modeling, location extraction, semantic networks). Strong emphasis is placed on integrating these methods into actual research, in hopes of moving new or ongoing student papers toward publication. The course is in a seminar format, with a focus on reading and discussing cutting-edge research, as well as interacting with invited guests from industry (e.g. Google) and academia. An overarching goal of the course is to incubate and launch new interdisciplinary collaborative projects at Yale that integrate data science techniques to solve important problems
Limited to 15