I primarily teach courses in Sociology which are sometimes cross listed with Statistics and Machine Learning.  I created the Sociology Summer Methods Camp with my amazing graduate student instructors Rebecca Johnson and Janet Xu. I also founded and run the Sociology Statistics Reading Group.

Slides and Other Materials:

• Soc306/SML306: Machine Learning with Social Data: Opportunities and Challenges (Spring 2022)
• Soc400/500: Applied Social Science Statistics (2020) 
• Soc401/504: Advanced Data Analysis for the Social Sciences (2017) 
• Sociology Summer Methods Camp
• Sociology Statistics Reading Group

Syllabi:

• Soc306/SML306: Machine Learning with Social Data: Opportunities and Challenges (Spring 2021)
• Soc400/500: Applied Social Statistics (Fall 2020)
• SML515/Soc515: Machine Learning with Social Data: Opportunities and Challenges (Fall 2020)
• Soc592: Text as Data: Statistical Text Analysis for the Social Sciences (Spring 2019)
• Soc500: Applied Social Statistics - Graduate (Fall 2018)
• Soc400: Applied Social Statistics - Undergraduate (Fall 2018)
• Soc401/504: Advanced Data Analysis for the Social Sciences (Spring 2017)
• Soc320: Growing Up Poor Across America: An Introduction to Reasoning with Data (Fall 2016)
• Soc400/500: Applied Social Science Statistics (Fall 2016)
• Soc592: Text as Data: Statistical Text Analysis for the Social Sciences (Spring 2016)
• Soc504: Advanced Data Analysis for the Social Sciences (Spring 2016)
• Soc500: Applied Social Science Statistics (Fall 2015)

A note on teaching: The course designs above draw heavily from generations of kind instructors who have shared their materials with me.  I'm particularly indebted to Matt Blackwell, Adam Glynn, Justin Grimmer, Jens Hainmueller, Erin Hartman, Gary King, Kevin Quinn and Matt Salganik.  You can access the latest course materials for Soc500 and Soc504.  If you have any questions, please feel free to ask me.

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