I am honored to teach undergraduates, graduate students, and post-docs, and people outside of universities about a range of issues in social science, and I am particularly passionate about introducing people to the field of computational social science.
SUMMER INSTITUTES IN COMPUTATIONAL SOCIAL SCIENCE
If you are a graduate student, post-doc, or junior faculty member, you may be interested in the Summer Institutes in Computational Social Science that I co-organize with Matt Salganik. These events have provided free training to more than 650 graduate students, post-docs, and junior faculty members at 23 locations around the world. Visit the link above to see all lecture slides, codes, and video from Matt, me, and a number of fantastic guest lectures.
DATA SCIENCE AND SOCIETY UNDERGRADUATE COURSE
Click here to see a completely free online version of my undergraduate course at Duke University entitled "Data Science and Society." It introduces students to the field of computational social science and explains how the tools of data science might be leveraged to address some of society's most pressing challenges.
TEXT AS DATA GRADUATE-LEVEL COURSE
I have also produced a free, open-source Computational Social Science for graduate students for people interested in learning about how to scrape data from the internet and analyze it using automated text analysis techniques such as topic models, text networks, or word embeddings. If you are particularly interested in text analysis, you may also appreciate my older Text as Data course.
I am also passionate about improving public understanding of sociology and regularly give talks to companies, non-profit organizations, and government agencies.
If you are a former student who would like to request a recommendation letter, please visit the link to the form on your syllabus.