John Nay

New York University (NYU)

Bobst Library, E-resource Acquisitions

20 Cooper Square 3rd Floor

New York, NY 10003-711

United States

http://nyu.edu

Stanford Center for Legal Informatics

http://law.stanford.edu/directory/john-nay/

Brooklyn Artificial Intelligence Research

http://bkln.com

Brooklyn Investment Group (BKLN.com)

370 Jay St

Brooklyn, NY 11201

United States

http://bkln.com

  • New York University (NYU)

  • Stanford Center for Legal Informatics

  • Brooklyn Artificial Intelligence Research

  • Brooklyn Investment Group (BKLN.com)

SCHOLARLY PAPERS

13

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Rank 19,322

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Top 19,322

in Total Papers Downloads

3,743

SSRN CITATIONS

8

CROSSREF CITATIONS

2

Scholarly Papers (13)

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1.

Natural Language Processing and Machine Learning for Law and Policy Texts

Nay, J. (2021) “Natural Language Processing for Legal Texts.” In D. M. Katz, R. Dolin & M. Bommarito (Eds.), Legal Informatics. Cambridge University Press.
Number of pages: 35 Posted: 18 Dec 2019 Last Revised: 23 May 2022
John Nay
New York University (NYU)
Downloads 2,687 (7,013)
Citation 1

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

2.

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

RESEARCH HANDBOOK ON BIG DATA LAW (Roland Vogl, ed., Edward Elgar, 2020 Forthcoming), NYU School of Law, Public Law Research Paper No. 20-7
Number of pages: 21 Posted: 10 Jul 2019 Last Revised: 17 Jun 2020
John Nay and Katherine J. Strandburg
New York University (NYU) and New York University School of Law
Downloads 253 (169,356)
Citation 2

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

3.

Predicting and understanding law-making with word vectors and an ensemble model

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: 08 Aug 2022
John Nay
New York University (NYU)
Downloads 207 (204,914)
Citation 1

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AI, Machine Learning, Forecasting, Ensemble Modeling, Natural Language Processing, Predictive Modeling, Congress, Law, Legal Informatics, Empirical Legal Studies, Political Science

4.

Climate-Contingent Finance

Berkeley Business Law Journal, Vol. 19, No. 2, 2022
Number of pages: 46 Posted: 18 Feb 2021 Last Revised: 08 Aug 2022
John Nay
New York University (NYU)
Downloads 206 (205,784)

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Climate change, Climate adaptation, Climate economics, Climate finance, Climate derivatives, Climate investing, Sustainable finance, Impact investing, ESG investing, Infrastructure finance, Climate policy, Climate law, Machine Learning, AI, Simulation Modeling

5.

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 (NYU) and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 161 (254,863)
Citation 3

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6.

Aligning Artificial Intelligence with Humans through Public Policy

Number of pages: 10 Posted: 02 Jun 2022
John Nay and James Daily
New York University (NYU) and Washington University in St. Louis - Center for Empirical Research in the Law
Downloads 51 (519,870)

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Artificial Intelligence, Machine Learning, Natural Language Processing, Law, Policy, Human-AI Alignment, AI Ethics, Computational Social Science, Computational Policy

7.

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 (NYU), Emory University and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 46 (542,479)

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

8.

The Big Shift: From Monetary to Fiscal Policy

Number of pages: 3 Posted: 20 Oct 2020
John Nay
New York University (NYU)
Downloads 43 (557,023)

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machine learning, financial markets, political opinion, policy analysis, political economy, monetary policy, fiscal policy, macroeconomics

9.

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 Last Revised: 23 May 2022
John Nay
New York University (NYU)
Downloads 30 (629,464)
Citation 2

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artificial intelligence, machine learning, natural language processing, legal, policy, computational law, AI alignment

10.

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 (NYU) and Vanderbilt University - Department of Earth and Environmental Sciences
Downloads 21 (693,717)

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11.

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 (NYU) and Vanderbilt University, Department of Electrical Engineering and Computer Science
Downloads 17 (725,800)

Abstract:

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machine learning

12.

What Are You Implying? Deriving the Market’s Political Predictions with Policy Impact Indices

Number of pages: 3 Posted: 11 Sep 2020
John Nay
New York University (NYU)
Downloads 11 (779,730)

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machine learning, financial markets, political opinion, policy analysis, political economy

13.

A Review of Decision-Support Models for Adaptation to Climate Change in the Context of Development

Climate and Development, 2014
Number of pages: 12 Posted: 09 Mar 2021
John Nay, Mark Abkowitz, Eric Chu, Daniel Gallagher and Helena Wright
New York University (NYU), Vanderbilt University, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 10 (789,321)

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simulation modeling, agent-based modeling, cost–benefit analysis, GIS, decision-support tools