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CSLAW 2025: ACM Symposium on Computer Science and Law

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CSLAW
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투고 마감일:
2024-09-30
통보일:
2024-12-02
개최일:
2025-03-25
개최지:
Munich, Germany
개최 횟수:
4
조회: 12344   팔로우: 0   참가: 0

회반 지수 (CP-I)

42.5 / 100
전체 5,680개 중 4,021위 · 상위 71%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
43
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 4 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-11

논문 모집

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.
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Artificial Intelligence and Law3.1Springer0924-8463
Law, Innovation and TechnologyTaylor & Francis1757-9961
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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