The Data Labs team of data scientists, computational social scientists and DevOps engineers uses computational methods (Big Data) to complement and expand on the Center’s existing research agenda. We collect text, network and behavioral datasets, use computational techniques and empirical strategies for analysis, and generate original research. In addition, we explore the limitations of data science tools and methods and work toward establishing standards for their use.

Our major publications have explored and analyzed issues such as congressional communication, Americans’ use of social media, algorithmic bias and religious rhetoric, as well as data sources including YouTube videos and Facebook images. We also manage the Center’s computing infrastructure, have released a package of analytical tools on Github, and write about the process of computational social science research for Decoded, the Center’s behind-the-data Medium blog.

Signature publications

Engage with us


To speak with an expert or sign up for press alerts, please contact:

Rachel Weisel

Andrew Grant


Follow the Data Labs team on social media, sign up for email newsletters and get RSS feeds of the Center’s research tailored by topic or research area.


Sign up for our Methods newsletter

The latest on survey methods, data science and more, delivered quarterly