John J. Nay     About     CV     Publications     In Progress     Software


Research Areas: Machine Learning, Data Science, Natural Language Processing, Computational Social Science, Forecasting, Information Systems, Public Policy, Law, Regulation and Sustainability.

I’m a Ph.D. Candidate at the Vanderbilt University School of Engineering, a Research Fellow at Vanderbilt Law School’s Program on Law & Innovation, and a Co-Founder of PredictGov, Inc.

I have conducted research as part of the data science components of multiple National Science Foundation-funded projects and serve as a Team Lead and Co-PI on a grant to combine machine learning and econometric approaches to estimate causal effects of drought across the U.S. and inform environmental law and policy-making.

I develop machine learning approaches to better understand and forecast. My computational work is directed toward law, policy and business applications, including the following recent publications:

Most of my current research focuses on: unsupervised learning methods for discovering meaningful structure in text and associated methods for automated validation and user-interface development; supervised learning methods for predicting outcomes related to text; engaging the public in the co-creation and interpretation of policy; combining causal inference and machine learning to estimate policy effects with big data; and the ethics of computational policy.

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Twitter: @johnjnay

Email: john dot j dot nay at gmail dot com