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CSLAW 2025: ACM Symposium on Computer Science and Law

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截稿日期:
2024-09-30
通知日期:
2024-12-02
会议日期:
2025-03-25
会议地点:
Munich, Germany
届数:
4
浏览: 12347   关注: 0   参加: 0

会伴指数 (CP-I)

42.5 / 100
全站第 4,021 名 / 共 5,680 个会议 · 前 71%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%)
43
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 有据可查的届次:4 · 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-11

征稿

CSLAW 2025 (ACM Symposium on Computer Science and Law) is an academic conference held in Munich, Germany on 2025-03-25. The paper submission deadline is 2024-09-30. Acceptance notifications are sent on 2024-12-02.

Advances in algorithmic data processing, cryptography, artificial intelligence, networking, databases, software engineering, and many other fields of computer science have raised difficult legal questions. At the same time, computational methods have shed new light on legal problems in domains ranging from criminal procedure to evidence to intellectual property. These intersections have created a growing need for research that combines deep understanding of the power and the limitations of computing with expertise in multiple aspects of law. The ACM Symposium on Computer Science and Law is the flagship conference for the emerging field of computer science and law. It brings together a community of scholars, lawyers, and computing professionals who are fluent in both computational thinking (with its rigorous mathematical formalisms) and legal scholarship and thought (with its equally rigorous yet human-centric set of principles, methodologies, and goals). Central to the study of “computer science and law” is the creation of a body of scholarship aimed at the co-design of law and computing technology that promotes social goals. Topics of interest include but are not limited to: Auditing and trustworthiness of software Bridging gaps between legal and computational practice or scholarship Broadening access to data and decision-making Computational empirical legal studies Cyber espionage and cyber war Cybersecurity regulation, computer crime, online law enforcement, and digital forensics Digital intellectual property Encryption and lawful surveillance Fairness and bias in machine learning, data analytics, and automated decision–making Human-rights law and computer science Legal and public-policy aspects of network measurement and network architecture Legal aspects of open-source software Mechanization and automation of legal reasoning Online market structure, platform monopolies, and antitrust law Platform governance, content moderation, disinformation, and freedom of online expression Privacy enhancing technologies and data protection Public ledgers, cryptocurrencies, and smart contracts Regulation and liability for artificial intelligence All submitted papers will be evaluated based on their merits, particularly the extent to which their contributions are truly interdisciplinary. For papers that might raise ethical concerns, authors are expected to convince reviewers that proper procedures (such as IRB approval or responsible disclosure) have been followed and that due diligence has been done to minimize potential harms. Submitted papers may be rejected, at the discretion of the PC, for being out of scope. Authors who have questions about whether their papers are in scope are encouraged to ask the PC chairs in advance. Because of the significant variation in scholarly methods and expository norms across the computing and legal communities, submissions should not be anonymized. Reviewers will be cautioned to avoid any biases resulting from author identity, other than what is directly relevant to the academic quality of the submitted work. Because of the interdisciplinary nature of the symposium, authors will be provided with an optional opportunity to write brief rebuttals after receiving preliminary PC reviews but before final decisions are made. These are not meant to be extended debates about the papers. Instead, they are intended to help the PC appreciate the nature of a submission’s contributions in computer science or law in cases where the initial reviews may have applied different disciplinary standards than expected.
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