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Get Started Free →Use when interpreting where a CSCW paper stands in review — the PACMHCI journal model's decision vocabulary (Revise for External Review, Revise and Resubmit, Conditional Accept), same-reviewer re-review, the rolling editorial board, and what each outcome statistically implied in the last cycle.
.claude/skills/brycewang-stanford-cscw-review-process/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 39% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 31% | 0% |
CSCW reviews papers the way a journal does, wearing a conference's name. Decisions come in revision vocabulary, revised papers return to the same reviewers, and — under the rolling model launched for CSCW 2027+ — the process is run by an editorial board (Editors-in-Chief Amy Bruckman and Eric Gilbert, with handling editors per methodological track) rather than a per-year program committee. Reading the process correctly changes how you write, revise, and wait.
| Decision | What it means | What it asks of you | | --- | --- | --- | | Revise for External Review | Screeners saw promise but flaws worth fixing before reviewers are spent on it | A focused repair on a short clock; treat as a free pre-review | | Revise and Resubmit (R&R) | The default serious outcome: reviewers want a substantially revised paper, which they will re-read | The full revision campaign (cscw-author-response) | | Conditional Accept with Minor Changes | The paper is in, pending verifiable edits | Execute precisely; do not renegotiate scope | | Accept | Done; production begins | cscw-camera-ready | | Reject | The venue is declining this version | Post-mortem before any re-entry |
Calibration from the final fixed cycle (May 2025, feeding CSCW 2026): after external review, only 33.8% of papers received a final decision — 66.2% received R&R. In the second round, 152 papers were accepted (61 outright in March 2026, 91 via minor changes) and 44 were rejected. Two structural lessons:
external review most likely enters a revision loop; budget for it from day one.
failed; a revision is a second full evaluation, not a formality.
Unlike rebuttal-based conferences, CSCW's revision loop returns to people who remember the first version. Consequences:
from the response letter, not from page one.
visible change log builds the trust that converts R&R into acceptance.
response poisons a round the same person will judge.
methodological track (track boundaries were 待核实 at the 2026-07-08 check); the editor recruits expert reviewers and owns the decision.
rather than batched.
abstract and keywords routing inputs, so write them for the editor who will triage; and there is no cohort, so your paper is not competing against a deadline batch but against the standard itself.
text[< 1 month] likely in editor triage / reviewer recruitment — silence is normal [2-4 months] in review; the advertised decision window (rolling) [> 4-5 months] polite status query to the handling editor is appropriate [R&R issued] your clock now: the revision deadline is set per paper — confirm it in the decision letter, don't assume a default
text[Stage] triage / external review / R&R round n / minor changes / decision [Regime] rolling (editorial board) / residual fixed-cycle [Reviewers] same-set re-review expected? yes (R&R) / new assignment [Base rate] last verified cycle: 66.2% R&R after external review; ~78% of round-two papers accepted (152 of 196) [Next move] <the single action that advances the paper now>
All statistics and names verified 2026-07-08 against cscw.acm.org blog posts and the rolling CFP; the rolling model is explicitly a soft launch, so expect its mechanics to be tuned — re-verify before relying on any number here.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 22,402 | 17,009 | -24% | 1 | 1 | 0% | 2,477 | 2,936 | +19% | 0 | 0 | — |
case-02 | fail→pass | 18,248 | 16,038 | -12% | 1 | 1 | 0% | 2,157 | 3,003 | +39% | 0 | 0 | — |
case-03 | fail→pass | 17,304 | 8,379 | -52% | 1 | 1 | 0% | 1,987 | 2,675 | +35% | 0 | 0 | — |
case-10 | fail→pass | 25,410 | 8,009 | -68% | 1 | 1 | 0% | 2,683 | 1,496 | -44% | 0 | 0 | — |
case-04 | fail→fail | 15,102 | 10,496 | -30% | 1 | 1 | 0% | 1,629 | 2,712 | +66% | 0 | 0 | — |
case-05 | pass→pass | 18,447 | 23,095 | +25% | 1 | 1 | 0% | 2,283 | 3,417 | +50% | 0 | 0 | — |
case-06 | fail→fail | 19,981 | 23,116 | +16% | 1 | 1 | 0% | 3,258 | 4,501 | +38% | 0 | 0 | — |
case-07 | fail→pass | 14,710 | 9,261 | -37% | 1 | 1 | 0% | 1,289 | 1,685 | +31% | 0 | 0 | — |
case-08 | fail→pass | 29,000 | 14,764 | -49% | 1 | 1 | 0% | 2,399 | 2,503 | +4% | 0 | 0 | — |
case-09 | fail→pass | 17,739 | 15,435 | -13% | 1 | 1 | 0% | 2,051 | 2,486 | +21% | 0 | 0 | — |
case-11 | fail→fail | 28,787 | 7,832 | -73% | 1 | 1 | 0% | 3,355 | 1,660 | -51% | 0 | 0 | — |
case-12 | fail→pass | 21,339 | 11,134 | -48% | 1 | 1 | 0% | 2,516 | 2,075 | -18% | 0 | 0 | — |
case-13 | pass→pass | 15,170 | 17,028 | +12% | 1 | 1 | 0% | 1,676 | 2,567 | +53% | 0 | 0 | — |
case-14 | fail→fail | 12,239 | 15,779 | +29% | 1 | 1 | 0% | 2,054 | 2,783 | +35% | 0 | 0 | — |
case-15 | fail→pass | 18,514 | 9,632 | -48% | 1 | 1 | 0% | 2,430 | 2,584 | +6% | 0 | 0 | — |
case-16 | pass→pass | 20,735 | 24,315 | +17% | 1 | 1 | 0% | 2,484 | 3,485 | +40% | 0 | 0 | — |
case-17 | fail→pass | 10,263 | 11,007 | +7% | 1 | 1 | 0% | 1,675 | 2,085 | +24% | 0 | 0 | — |
case-18 | fail→pass | 12,394 | 9,280 | -25% | 1 | 1 | 0% | 1,027 | 1,890 | +84% | 0 | 0 | — |
case-19 | fail→pass | 16,944 | 5,895 | -65% | 1 | 1 | 0% | 1,480 | 2,087 | +41% | 0 | 0 | — |
case-20 | fail→pass | 16,184 | 8,357 | -48% | 1 | 1 | 0% | 1,705 | 1,450 | -15% | 0 | 0 | — |
case-21 | fail→fail | 18,349 | 16,081 | -12% | 1 | 1 | 0% | 2,696 | 3,507 | +30% | 0 | 0 | — |
case-22 | fail→pass | 20,524 | 10,927 | -47% | 1 | 1 | 0% | 2,443 | 1,800 | -26% | 0 | 0 | — |
case-23 | fail→pass | 14,163 | 2,704 | -81% | 1 | 1 | 0% | 1,206 | 1,360 | +13% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +65 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.