Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › acm-conference-on-computer-supported-cooperative-work-and-social-computing

acm-conference-on-computer-supported-cooperative-work-and-social-computing

GitHub

用于评估论文与CSCW会议的匹配度,提供投稿策略、框架重构、证据缺口诊断及拒稿风险分析,辅助作者调整叙事以符合社会计算领域的评审标准。

Computer-Science-Conference-Skills/skills/acm-conference-on-computer-supported-cooperative-work-and-social-computing/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

确定CSCW为投稿目标 需要评估稿件与会议主题的契合度 需将期刊或arXiv风格重构为会议叙事 需要针对该会议的证据或匿名性进行诊断

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acm-conference-on-computer-supported-cooperative-work-and-social-computing -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Computer-Science-Conference-Skills/skills/acm-conference-on-computer-supported-cooperative-work-and-social-computing -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@acm-conference-on-computer-supported-cooperative-work-and-social-computing

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acm-conference-on-computer-supported-cooperative-work-and-social-computing -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "acm-conference-on-computer-supported-cooperative-work-and-social-computing",
    "description": "Use when targeting ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for social computing."
}

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)

Conference positioning

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) is a top computer-science conference venue for collaboration systems, online communities, social platforms, moderation, organizations, and cooperative work. It rewards a social-computing paper with empirical depth and design implications for cooperative systems. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names CSCW / ACM Conference on Computer-Supported Cooperative Work and Social Computing as the target venue.
  • A manuscript in collaboration systems needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: collaboration systems, online communities, social platforms, moderation, organizations, and cooperative work.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to CSCW's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat CSCW as a social computing venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: collaboration systems, online communities, social platforms, moderation, organizations, and cooperative work.
  • Distinctive fingerprint for reviewer calibration: collaboration, online, communities, social, platforms, moderation, organizations, cooperative, work, venue-specific, contribution, computing, cscw.
  • Official anchor domain: cscw.acm.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in social computing and the author can say why CSCW reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: acm-chi-conference-on-human- factors-in-computing-systems (CHI), acm-conference-on-intelligent-user-interfaces (IUI), acm-international-joint-conference-on-pervasive-and-ubiquitous-computing (UbiComp). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from cscw.acm.org.

CSCW-specific routing detail

  • Prefer CSCW when the contribution is social computing or collaborative work: group coordination, platforms, communities, moderation, organizations, online labor, or cooperative technology.
  • Route human-centered search and retrieval interaction to CHIIR, fairness/accountability platform analysis to FAccT when governance and harms are central, and ML/data-mining methods to ECML PKDD/KDD.
  • CSCW evidence should include social context, participants or trace provenance, qualitative/quantitative method fit, platform dynamics, ethics, and implications for collective work.

Method & evidence bar

  • Compare against current strong baselines and explain exactly what changes in the algorithm, objective, data, or inference procedure.
  • Report ablations that isolate the claimed mechanism; do not rely on aggregate benchmark wins alone.
  • Document data, compute, hyperparameters, model selection, and failure cases so the result can be reviewed as science rather than demo output.
  • For CSCW, the evidence must support the venue-specific signature: a social-computing paper with empirical depth and design implications for cooperative systems.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Frame the contribution as a reusable idea: method, theory, benchmark, dataset, system, or socio-technical finding.
  • Separate main claims from exploratory results; reviewers at top AI venues punish overclaiming and hidden cherry-picking.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://cscw.acm.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: the current ACM PCS/Precision Conference author guide and contribution-type policy.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at CSCW, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle social computing papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • Leaderboard-only novelty with weak explanation of why the method works.
  • Unclear data contamination, missing baselines, or evaluation that cannot be reproduced.
  • Claims about safety, fairness, health, or society without matching evidence and limitations.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving CSCW reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses CSCW's bar, compare against neural-information-processing-systems / international-conference-on-machine-learning / international-conference-on-learning-representations / aaai-conference-on-artificial-intelligence. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>

Version History

  • 1839142 Current 2026-07-05 12:39

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2026-07-05 12:39

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