Student Travel Support for 2019 Symposium on Computer Science and Law

首届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开展工作，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，再到数字知识产权保护。 该奖项为大约20名学生参加研讨会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的教育和专业发展的方式的应用程序，选择不同的学生群体进行旅行支持。和顾问解决学生的工作质量和原因，需要旅行支持出席。ACM CSLAW的范围-19研讨会包括：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;表达自由在线（或缺乏）;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;法律的信息学;法律的推理和法律的服务的自动化;机器学习和数据挖掘中的公平性，问责制，透明度和道德（FATE）;计算机科学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要求和现有的教育计划。 专题讨论会的主要预期成果是关于分组讨论结果的综合报告。 该报告将阐述研究，实践，教育和促进计算机科学与法律的跨学科领域的丰富议程，并就研究界，ACM，资助机构，大学，技术行业，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标准。

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.