Student Travel Support for 2019 Symposium on Computer Science and Law

首届计算机械协会计算机科学与法律研讨会(ACM CSLAW-19)将于2019年10月在纽约市举行。通过在这一新兴研究领域发起努力，研讨会将对广泛的社会问题产生影响，从在线安全和隐私到互联网平台监管到数字知识产权保护。该奖项为大约20名参加研讨会的学生提供全部或部分支持。研讨会计划委员会的一个小组委员会将根据学生解释他们对计算机科学和法律的兴趣以及他们期望研讨会促进他们教育和职业发展的方式，选择不同的学生群体作为旅行支持对象，顾问将阐述学生的工作质量和参加会议需要旅行支持的原因。ACM CSLAW-19研讨会的范围包括：安全、隐私、加密和监视；网络间谍、网络战争和网络外交；网络犯罪、网络执法和数字取证；在线表达自由(或缺乏在线言论自由)；在线市场结构，平台垄断和反垄断法；在线政府服务；数字知识产权；法律信息学；法律推理和法律服务的自动化；机器学习和数据挖掘中的公平、问责、透明度和伦理(命运)；计算机科学学科和法律学科之间的方法兼容性和不兼容性；计算机科学和法律的教育必要性和现有教育计划。专题讨论会的主要预期成果是一份关于分组讨论结果的综合报告。该报告将详细阐述计算机科学与法律跨学科领域的研究、实践、教育和促进的丰富议程，并就研究社区、ACM、资助机构、大学、技术行业和其他感兴趣的机构如何帮助推进这一议程提出具体建议。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The inaugural Association for Computing Machinery Symposium on Computer Science and Law (ACM CSLAW-19) will be held in October 2019, in New York City. By launching efforts in this nascent field of study, the symposium will have impact on a broad range of societal issues, ranging from online security and privacy to Internet platform regulation to digital intellectual property protection. This award provides full or partial support for approximately 20 students to attend the symposium. A subcommittee of the symposium program committee will select a diverse group of students for travel support, based on applications in which students explain their interest in Computer Science and Law and the ways in which they expect the symposium to further their educational and professional development, and advisors address the quality of the students' work and the reason that travel support is needed for attendance.The scope of the ACM CSLAW-19 symposium includes: Security, privacy, encryption, and surveillance; Cyber espionage, cyber war, and cyber diplomacy; Cyber crime, cyber law enforcement, and digital forensics; Freedom of expression online (or the lack thereof); Online market structure, platform monopolies, and antitrust law; Online government services; Digital intellectual property; Legal informatics; Automation of legal reasoning and legal services; Fairness, accountability, transparency, and ethics (FATE) in machine learning and data mining; Methodological compatibility and incompatibility between the discipline of computer science and the discipline of law; Educational imperatives and existing educational programs in Computer Science and Law. The main expected outcome of the symposium is a comprehensive report on the findings of break-out-group discussions. The report will explicate a rich agenda for research, practice, education, and fostering the interdisciplinary area of Computer Science and Law and make concrete suggestions about how the research community, ACM, funding agencies, universities, the technology industry, and other interested institutions can help advance this agenda.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.