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Facct review process

Skill brycewang-stanford/Awesome-Journal-Skills/FAccT-Skills/skills/facct-review-process

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

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npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill facct-review-process

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Use when reasoning about how an ACM FAccT submission is evaluated — mutually-anonymous review by a mixed CS+law+social-science pool matched via author-selected focus areas, Area Chairs, the short factual-correction rebuttal, the new Accept/Revise/Reject decision with a revise-and-resubmit round, and how FAccT's interdisciplinary process differs from a pure-ML conference's single-shot rebuttal.

SKILL.md

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FAccT Review Process

Model the pipeline before interpreting any single review. FAccT's process has two features that surprise authors arriving from a pure-ML venue: the reviewer pool is interdisciplinary (a computer scientist, a lawyer, and a social scientist may all be assigned), and — new for the 2026 edition — the decision set is Accept / Revise / Reject, where Revise is a genuine revise-and-resubmit round, not a soft reject. Your paper is matched to reviewers and Area Chairs by the focus areas you selected at registration, so those choices shape who reads you as much as your title does.

Process model

  • Submission and review run on OpenReview (new for 2026) with mutual anonymity: authors and reviewers are hidden from each other.
  • Papers are matched to reviewers and Area Chairs by disciplinary focus area, so an interdisciplinary paper is typically read by people from more than one field — a strength and a risk (each expects their lane's rigor).
  • Reviewers weigh relevance to the conference and the chosen area, and quality and clarity — correctness, depth of exposition (how well you contextualize approach, methodology, perspective, and domain), and an honest evaluation of both strengths and limitations.
  • After preliminary reviews, a short rebuttal window lets authors correct factual errors and misunderstandings and signpost minor edits — it is not for re-arguing substantive disagreement.
  • Area Chairs synthesize reviews into a recommendation: Accept, Revise, or Reject. Revise papers address AC-prioritized concerns by the revision deadline and are re-reviewed before a final decision.
  • Accepted papers are archival ACM proceedings (or non-archival by author choice) and are presented in person.

Reading a decision against the categories

DecisionWhat it meansAuthor move
AcceptContribution and rigor hold; minor polish onlyCamera-ready; do not reopen scope
ReviseRepairable gaps: a missing disaggregation, an under-argued harm, a construct concern, a thin cross-lane engagementTreat as an R&R: address each AC-prioritized concern, evidenced, by the deadline
RejectStructural: not FAccT-shaped, harm claim unsupported, one-discipline paper misroutedReframe or reroute (NeurIPS/ICML/CHI/AIES/law), do not lightly resubmit unchanged

The strategic reading: write the initial submission so that whatever is weakest is fixable inside the revision window (an analysis you can add, a limitation you can bound, a construct you can validate) rather than structural (a study design or a venue-fit problem you cannot repair in weeks). The 2026 process is built to reward repairable papers.

The interdisciplinary reviewer reality

Expect readers from different fields, matched by your focus areas. A fairness-methods reviewer checks your metrics, baselines, and disaggregation; a legal reviewer checks whether you use the doctrine correctly; a qualitative reviewer checks your coding, reflexivity, and treatment of participants. The common failure is a paper strong for one and naive to another — so answer each reviewer on the axis they raised, and do not dismiss a cross-lane objection as "not my field": at FAccT it is precisely the point.

Where author leverage actually exists

[Before submission]  focus-area selection -> which disciplines review you   (largest lever)
[Rebuttal]           factual corrections and misreadings only; not a debate
[Revise round]       the strongest lever: address each AC-prioritized concern with concrete changes,
                     re-read before the final decision
[After reject]       no appeal; reroute to a sibling venue or the CRAFT track, or resubmit next cycle

A rebuttal moves borderline papers when it fixes a factual misreading a reviewer built an objection on; it does not move papers when it argues taste. In the Revise round, an unaddressed AC-prioritized concern — neither fixed nor explicitly and reasonably declined — is what turns the re-review against you.

Reading a review packet

Weight reviews before answering. A review that engages your subgroup tables, your codebook, or the specific doctrine was read closely and will be read closely again — that reviewer is your likely advocate if the revision holds. A review from an adjacent discipline that raises a framing or harm concern is not noise; it is the interdisciplinary check the venue exists for, and the Area Chair will weight it.

Misreadings to avoid

  • Treating Revise as a guaranteed accept — the re-review is real; budget the short window like a deadline.
  • Treating the rebuttal as the revision — the rebuttal is for factual corrections; substantive fixes belong in the Revise round.
  • Dismissing the out-of-field reviewer — the mixed panel is the design, not an accident.
  • Projecting a pure-ML process — FAccT is not single-shot accept/reject; and the Revise round, OpenReview, and rebuttal specifics are 2026-new, so re-confirm them each cycle.

Output format

[Process stage] pre-submission / awaiting reviews / rebuttal / revise / final / accepted
[Decision category] accept / revise / reject, with the criterion driving it
[Criterion map] each review point -> relevance | correctness | depth | strengths-and-limits | discipline
[Leverage plan] the next-stage action that can actually change the outcome
[Forbidden moves] identity leak / arguing taste in rebuttal / ignoring the out-of-field reviewer

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.