About the Authors
- John J. Nay
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* E-mail: john.j.nay@gmail.com
Affiliations School of Engineering, Vanderbilt University, Nashville, TN, United States of America, Program on Law and Innovation, Vanderbilt Law School, Nashville, TN, United States of America
Competing Interests
The author has the following interests: commercial products under development related to the application of machine learning to law-making prediction and analysis. These products use a different approach than what is described in this paper, but accomplish the similar goal of predicting enactment probabilities for pending bills in the U.S. Congress. This does not alter the author’s adherence to PLOS ONE policies on sharing data and materials. No patents or patent applications exist for the work in this paper.
Author Contributions
Conceptualization: JJN. Formal analysis: JJN. Methodology: JJN. Project administration: JJN. Resources: JJN. Validation: JJN. Visualization: JJN. Writing – original draft: JJN. Writing – review & editing: JJN.