John Nay

New York University School of Law

Adjunct Professor

40 Washington Square South

New York, NY 10012-1099

United States

SCHOLARLY PAPERS

8

DOWNLOADS

965

SSRN CITATIONS

6

CROSSREF CITATIONS

2

Scholarly Papers (8)

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1.

Natural Language Processing and Machine Learning for Law and Policy Texts

Number of pages: 35 Posted: 18 Dec 2019
John Nay
New York University School of Law
Downloads 533 (55,628)
Citation 1

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Machine Learning, Artificial Intelligence, Prediction, Policy, Legal Informatics, AI & Law, Congress, Presidency, Political Science, Empirical Legal Studies

2.

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 143 (218,237)
Citation 1

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

3.

Topic Modeling the President: Conventional and Computational Methods

George Washington Law Review, Forthcoming, Vanderbilt Law Research Paper No. 17-62
Number of pages: 70 Posted: 12 Dec 2017 Last Revised: 17 Sep 2018
J. B. Ruhl, John Nay and Jonathan M. Gilligan
Vanderbilt University - Law School, New York University School of Law and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 141 (220,679)
Citation 1

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4.

Generalizability: Machine Learning and Humans-in-the-Loop

RESEARCH HANDBOOK ON BIG DATA LAW (Roland Vogl, ed., Edward Elgar, 2020 Forthcoming)
Number of pages: 23 Posted: 10 Jul 2019 Last Revised: 14 Apr 2020
John Nay and Katherine J. Strandburg
New York University School of Law and New York University School of Law
Downloads 87 (310,490)
Citation 1

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machine learning, artificial intelligence, prediction, validation, automated decision-making, policy, rules, standards, big data, law, legal

5.

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
John Nay, Martin Van der Linden and Jonathan M. Gilligan
New York University School of Law, Emory University and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 23 (539,291)

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

6.

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 13 (602,869)

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7.

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 13 (602,869)

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machine learning

8.

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 12 (609,764)
Citation 1

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machine learning, natural language processing, legal, policy