Real-Time Congressional Predictions
We provide updated predictions for the bills currently under consideration, assigning each a chance of being enacted. This freely available resource allows you to focus on legislation that is likely to matter and offers a glimpse into the power of our more advanced tools.
Our team is composed of pioneering thought leaders at the intersection of policy and machine learning.
John Nay, Ph.D., is the C.E.O. After graduating with High Distinction from the University of Virginia, John was awarded a Fulbright Scholarship and ultimately turned it down to start graduate school at Vanderbilt University, where he recently completed his Ph.D. in Computational Decision Science at the School of Engineering. His research focuses on machine learning, natural language processing, and forecasting.
Oliver Goodenough, J.D., is an authority in the application of technology to legal processes. In addition to his work at PredictGov, Oliver is a Professor of Law at Vermont Law School, where he directs the Center for Legal Innovation, an Adjunct Professor at Dartmouth’s Thayer School of Engineering, and Affiliated Faculty at Stanford’s Center for Legal Informatics. He has served as Faculty Fellow at The Berkman Center at Harvard. Goodenough was a partner practicing finance law with a law firm in New York City prior to entering teaching.
J.B. Ruhl, J.D., LL.M., Ph.D., is a legal expert with extensive legislative and regulatory insight. J.B. is also a Professor of Law at Vanderbilt University and Director of the law school’s Program on Law & Innovation. Prior to becoming a professor, Ruhl was a partner at an AmLaw 20 law firm in its Austin, Texas, office. His work included litigation and legislative matters.