Diagnose & recruit
Run a diagnosis
Every submission and every reviewer is embedded with SPECTER2. Fit is a percentile against the whole expert database: fit 99 means someone's recent work is closer to the paper than 99% of the 1.2 million active experts. Strong means fit 99 or more, a specialist 99.9 or more. A paper is ill when the pool cannot give it 2 strong reviewers at the same time within everyone's load, has no specialist, or, after solving, is under-assigned or has an assigned person outside the top 5%. A topic is a cluster of similar submissions; it is under-covered when at least 15% of its strong slots cannot be filled. Candidates must meet the saved reviewer bar and have no authorship or recent co-authorship with the paper's authors.
Diagnosed 2026-09-27 17:05 · 2 per paper, up to 3 papers each · bar: SIGMOD, VLDB, ICDE, EDBT, PODS, CIKM +1 · junior 2+ first-author in 5y or senior 4+ papers in 5y
Close the gaps — 1 experts would fill 1 of the 1 missing strong slots on the ill papers
Chosen one at a time: each takes up to 3 ill papers where they fit best, favouring the papers covered least so far. Invite more than you need; not everyone accepts.
Ill papers — most severe first
| Severity | Submission | Strong in pool | At once | Specialists | Best fit |
|---|---|---|---|---|---|
| 3.0 | MIMOSA: A Tool for Fairness Exploration Through Explanations
edbt26-demo-08
|
1 | 1 / 2 | 0 | 99.41 |
Recruit for this paper · 10 candidates | |||||
| 1.0 | AnonymEx: An Interactive Platform for Exploring and Evaluating Anonymization Techniques through Re-identification Attacks
edbt26-demo-01
|
3 | 2 / 2 | 0 | 99.88 |
Recruit for this paper · 10 candidates | |||||
| 1.0 | HistoricRAG: Evidence-Centered Newspaper Retrieval for Misinformation-Resilient Question Answering
edbt26-demo-06
|
2 | 2 / 2 | 0 | 99.65 |
Recruit for this paper · 10 candidates | |||||
| 1.0 | MetricLib: A Modular and Extensible Toolkit for Evaluation of Medical ML Datasets
edbt26-demo-07
|
5 | 2 / 2 | 0 | 99.40 |
Recruit for this paper · 10 candidates | |||||
Topics — submission clusters; coverage = strong slots the pool can fill at once
| Topic | Papers | Coverage | Missing slots | Ill papers | Strong people |
|---|---|---|---|---|---|
| explanations · impact · fairness under-covered | 3 | 83% | 1 | 1 | 13 |
Recruit for this topic · 12 candidates | |||||
| schema · rely · multi-model | 11 | 100% | 0 | 1 | 52 |
| compression · enabling · time series | 2 | 100% | 0 | 1 | 6 |
| trustworthy · quality · evaluation | 1 | 100% | 0 | 1 | 5 |