Conference on Data Science and Law; Chapel Hill, NC; Spring 2020

数据科学与法律会议；

• 批准号: 1946773
• 负责人: Stanley Ahalt
• 金额: $ 5万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2022-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1946773&HistoricalAwards=false
• 关键词: Conference; Data; Science; Law; Chapel

Data science, particularly via artificial intelligence (AI) and/or machine learning, is becoming increasingly omnipresent in our lives and culture, in the way we interact with each other, in the way we get goods and services, and in the way our personal information is used and shared. In the legal field, data science is changing how judicial and governmental decisions are made and, more broadly, how law is practiced. NSF has recognized the impact that computer and data science (as well as other disciplines including engineering and social sciences) can have on the law. Collaboration between legal professionals, data science experts, and other domain experts is needed to establish evaluative frameworks that can bring the advanced quantitative reasoning made possible through data science to the domain of law. This conference award will be used to organize a two-day workshop—with representatives from law, data science, engineering, and social science and including students from these fields—to focus interdisciplinary perspectives on four to five broad data science questions in the law. As a result of this workshop, teams will form to develop innovative research proposals aimed at developing data science solutions to legal problems through future collaborations and proposals for submission to NSF and other funding agencies and foundations committed to the scientifically valid practice of law. Those proposals in turn may lead to data science tools that, for example, allow for more efficient open-source legal research, create methods for authenticating digital evidence, or evaluate algorithms for accuracy or bias. Additionally, the proposed workshop will represent the first step towards developing an interdisciplinary community of data scientists, legal professionals, and other domain experts. An essential outcome of this workshop is that these communities understand the profound impact they share as the nation’s legal, academic, and professional communities move toward more data-driven decisions regarding legal outcomes, legal implications, and legal impacts of data analyses.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

数据科学，尤其是通过人工智能（AI）和/或机器学习，基本上越来越多地在我们的方法中，以我们相互互动的方式，以我们的商品和服务方式以及我们的个人信息的使用方式共同的数据科学正在改变司法和政府的决定，而NSF的存在。法律范围内的领域。在这个研讨会上，团队将构成针对NSF和其他致力于科学有效实践的NSF以及其他成立和基金会的合作和建议的偏离提案。为了获得更大的开源法律研究，为拟议中的或偏见的评估创建方法，将首先旨在建立对数据科学家，法律专业人士和其他领域的专业人士。国家的法律和专业社区朝着更多的数据，法律含义和数据分析的法律影响迈进。该奖项反映了NSF的任务，并使用基金会的知识分子和更广泛的影响审查了标准。