Get Involved

Active work has been transferred to the T3 Innovation Network. If you’d like to get involved with this work, visit their site the join the network. Below we archive useful information about our past work.

Data at Work was a major project of the University of Chicago’s Center for Data Science and Public Policy, the Department of Labor, the National Skills Coalition, and a large set of community stakeholders. Community building continues to be a core component of the project: *anyone can get involved and cont

The Open Skills Research Working Group was dedicated to improving machine learning algorithms for translating workforce data into actionable insights about the dynamics of skills and jobs in the American economy. The Group was made up of researchers from a variety of backgrounds, from economics to machine learning.

The University of Chicago hosted monthly researcher’s calls to converse with researchers to better understand how the public datasets could be improved.

Past Researchers Calls


All code developed in support of this project is hosted on the workforce-data-initiative organization on GitHub. Comments, forks, and pull requests welcome.