icdm-review-process
Use when reasoning about the ICDM (IEEE International Conference on Data Mining) review machinery - the triple-blind mechanics, the Accept / Accept-as-Short / Reject outcome space, the mixed data-mining reviewer pool, PC Co-Chair decision-making, the traditional no-rebuttal posture, and how to read an ICDM decision packet.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdm-review-process --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ICDM Review Process Understand how ICDM decisions are actually made, so you can write for the process and read the outcome correctly. ICDM's Research Track runs a **triple-blind** review, has a distinctive **short-paper** outcome, and traditionally offers **no author rebuttal** — a very different shape from OpenReview venues with public discussion. ## Triple-blind mechanics - Author identities and referee identities are both concealed. Since 2011, referee names are hidden even from each other during discussion; only the **PC Co-Chairs** know who is who. - Author names are disclosed **only after ranking and acceptance are finalized** — so nothing in the review can be swayed by who you are, for better or worse. - Practical consequence: the paper is judged purely on the anonymized PDF and its cited anonymized artifact. Write for a reviewer who knows nothing about you. ## The outcome space | Outcome | What it means | Your move | |---|---|---| | Accept (regular) | In as a full paper | Camera-ready at full length | | **Accept as Short** | Contribution valued, but scoped/evidenced for short length | Compress to the short camera-ready (see `icdm-camera-ready`) | | Reject | Not accepted t
- Triple-blind mechanics
- The outcome space
- The reviewer pool
- The no-rebuttal posture
- Reading a decision packet
- Vignette: reading an Accept-as-Short correctly
- Output format
What does the icdm-review-process skill do?
Use when reasoning about the ICDM (IEEE International Conference on Data Mining) review machinery - the triple-blind mechanics, the Accept / Accept-as-Short / Reject outcome space, the mixed data-mining reviewer pool, PC Co-Chair decision-making, the traditional no-rebuttal posture, and how to read an ICDM decision packet.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdm-review-process --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.