Research!

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Please check out my Github for apps and code that I'm working on, and follow me on Twitter at @stefanjwojcik.

My research applies data science tools and methods to social science research questions. My work involves using digital trace or social media data to understand the flow of information online, public opinion and behavior. I received my Ph.D. in political science from the University of Colorado, where I conducted research on legislative networks in Brazil. In my postdoctoral research at Northeastern and Harvard universities, my work focused on forecasting global presidential elections and tracing public opinion with social media data. My work appears in academic journals such as Science, Political Science Research and Methods, Political Research Quarterly and Legislative Studies Quarterly.

Pew Research Articles

I worked for 2.5 years at Pew Research Center. PRC is a great organization and I received excellent training and mentorship there. They have a commitment to honest and high-quality research.

You can see a complete list of projects I worked on at PRC here.

  1. Machine Learning and Gender

  2. 10 Facts about Americans and Twitter

  3. About 1 in 5 Adults on Twitter Follow Trump

  4. Sizing up Twitter Users

  5. Gender and Jobs in Online Searches

  6. Political News and Bots on Twitter

  7. Bots in the Twittersphere

Academic Papers

I remain active on various academic research projects. Many of them involve digital trace data, computational methods, and network analysis. You can see my full publication list at Google Scholar.

  1. Survey and Human Computation for Improved Flu Tracking

  2. Improving Election Prediction Internationally

  3. Men Idle, Women Network

  4. Voters of the Year

  5. Why Legislative Networks

  6. Do Birds of a Feather Vote Together, or is it Peer Influence?

  7. Political Networks and Computational Social Science

  8. Does democratization lower consumer prices? Regime type, prices, and the consumer–producer tradeoff

  9. Gaming for science: A demo of online experiments on VolunteerScience.com

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