John Nay

New York University School of Law

Post-Doctoral Research Fellow

40 Washington Square South

New York, NY 10012-1099

United States

Harvard University - Berkman Klein Center for Internet & Society

Affiliate

Harvard Law School

23 Everett, 2nd Floor

Cambridge, MA 02138

United States

SCHOLARLY PAPERS

6

DOWNLOADS

220

CITATIONS

0

Scholarly Papers (6)

1.

Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text

Nay, J. (2016). “Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text.” Proceedings of 2016 Empirical Methods in Natural Language Processing Workshop on NLP and Computational Social Science, 49–54, Association for Computational Linguistics.,
Number of pages: 6 Posted: 21 Dec 2017
John Nay
New York University School of Law
Downloads 0 (549,881)

Abstract:

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machine learning, natural language processing, legal, policy

2.

Topic Modeling the President: Conventional and Computational Methods

George Washington Law Review, Forthcoming, Vanderbilt Law Research Paper No. 17-62
Number of pages: 54 Posted: 12 Dec 2017 Last Revised: 23 Dec 2017
Vanderbilt University - Law School, New York University School of Law and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 0 (285,999)

Abstract:

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3.

Data-Driven Dynamic Decision Models

Nay, J. J., Gilligan, J. M. (2015). “Data-Driven Dynamic Decision Models”. Proceedings of the 2015 Winter Simulation Conference, 2752–2763. IEEE Press.,
Number of pages: 12 Posted: 21 Sep 2017
John Nay and Jonathan M. Gilligan
New York University School of Law and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 0 (544,724)

Abstract:

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4.

Predicting Human Cooperation

Nay JJ, Vorobeychik Y (May 2016) Predicting Human Cooperation. PLoS ONE 11(5)
Number of pages: 19 Posted: 21 Sep 2017
John Nay and Yevgeniy Vorobeychik
New York University School of Law and Vanderbilt University, Department of Electrical Engineering and Computer Science
Downloads 0 (528,856)

Abstract:

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machine learning

5.

Predicting and Understanding Law-Making with Machine Learning

Nay JJ (2017) Predicting and understanding law-making with word vectors and an ensemble model. PLoS ONE 12(5): e0176999
Number of pages: 12 Posted: 20 Jul 2016 Last Revised: 21 Sep 2017
John Nay
New York University School of Law
Downloads 0 (242,809)

Abstract:

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Forecasting, Ensemble Modeling, Natural Language Processing, Congress, Law

6.

Betting and Belief: Prediction Markets and Attribution of Climate Change

Nay, J. J., Van der Linden, M., Gilligan, J. (2016). “Betting and Belief: Prediction Markets and Attribution of Climate Change.” Proceedings of the 2016 Winter Simulation Conference, 1666–1677. IEEE Press.,
Number of pages: 11 Posted: 13 Jul 2016 Last Revised: 21 Sep 2017
New York University School of Law, Utah State University - Department of Economics and Finance and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 0 (496,337)

Abstract:

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forecasting, prediction, prediction markets, beliefs, agent-based model, climate change