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

数据科学，特别是通过人工智能（AI）和/或机器学习，在我们的生活和文化中变得越来越无处不在，在我们彼此互动的方式中，在我们获得商品和服务的方式中，以及在我们使用和共享个人信息的方式中。在法律的领域，数据科学正在改变司法和政府决策的方式，以及更广泛地说，法律的实施方式。NSF已经认识到计算机和数据科学（以及包括工程和社会科学在内的其他学科）对法律的影响。需要法律的专业人士、数据科学专家和其他领域专家之间的合作，以建立评估框架，将数据科学所带来的先进定量推理带入法律领域。 该会议奖将用于组织一个为期两天的研讨会，来自法律，数据科学，工程和社会科学的代表，包括来自这些领域的学生，将跨学科的观点集中在法律中的四到五个广泛的数据科学问题上。作为这次研讨会的结果，团队将形成开发创新的研究提案，旨在通过未来的合作和提案，开发法律的问题的数据科学解决方案，以提交给NSF和其他资助机构和基金会致力于法律的科学有效实践。这些建议反过来可能会导致数据科学工具，例如，允许更有效的开源法律的研究，创建验证数字证据的方法，或评估算法的准确性或偏见。此外，拟议的研讨会将是朝着发展数据科学家，法律的专业人士和其他领域专家的跨学科社区迈出的第一步。本次研讨会的一个重要成果是，这些社区了解他们共同的深刻影响，因为国家的法律的，学术和专业社区朝着更多的数据驱动的决定，有关法律的结果，法律的影响，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.

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.