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Julian Nyarko is an Associate Professor of Law at Stanford Law School, where he uses a combination of quantitative methods, natural language processing and machine learning to explore the realities of contract design under U.S. and international law. In his research, Professor Nyarko studies commercial contracts as well as consumer contracts, smart contracts and treaties. In addition, he regularly collaborates with scholars in other areas to gain insights into large bodies of legally relevant texts, such as the Congressional Record or the Federal Register.
Before coming to Stanford, Professor Nyarko studied law at the University of Hamburg Law School and received both an LL.M. and a Ph.D. from the University of California, Berkeley. In addition, he was a Fellow in Empirical Law and Economics at Columbia Law School.
Before coming to Stanford, Professor Nyarko studied law at the University of Hamburg Law School and received both an LL.M. and a Ph.D. from the University of California, Berkeley. In addition, he was a Fellow in Empirical Law and Economics at Columbia Law School.
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论文共 30 篇作者统计合作学者相似作者
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Science advancesno. 13 (2024): eadi8411-eadi8411
arxiv(2023)
PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, ICAIL 2023pp.141-147, (2023)
Neel Guha,Julian Nyarko,Daniel E. Ho,Christopher Ré, Adam Chilton,Aditya Narayana,Alex Chohlas-Wood, Austin Peters, Brandon Waldon,Daniel N. Rockmore,Diego Zambrano, Dmitry Talisman,
NeurIPS (2023)
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PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, ICAIL 2023pp.427-431, (2023)
arXiv (Cornell University) (2023)
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Social Science Research Networkno. 2 (2022): 539-569
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