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Database Publication Practices. Surajit Chaudhuri Microsoft Research. Coping with Growth. Issue: Higher submission rate We are not alone in facing this problem What are others thinking?
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Database Publication Practices Surajit Chaudhuri Microsoft Research
Coping with Growth • Issue: Higher submission rate • We are not alone in facing this problem • What are others thinking? • ACM SGB Task Force on the Impact ofIncreasing Conference Submissions (Chair: Alexander L. Wolf) – next 4 slides • My analysis and some painful suggestions
ASE (1995-2004) DAC (1998-2004) DATE (2001-2005) EComm (1998-2005) FOCS (1990-2004) FSE (1993-2004) GLSVLSI (2002-2005) ICSE (1992-2005) ICSM (1999-2004) ISSTA (1989-2004) Middleware (2000-2004) MobiCom (1995-2004) MobiHoc (2000-2004) MobiSys (2003-2004) PODC (1994-2004) PODS (1993-2003) POPL (1973-2005) SCG (1995-2004) SIGCOMM (1998-2004) SODA (1990-2005) SPAA (1995-2003) STOC (1991-2005) UML (1999-2004) UAI (1992-2004) Basis of SGB Task Force Data
Observations/Perceptions: Stature/Workload • Conferences with lowering acceptance rates receiving more polished papers on narrower topics • Pressure to publish in top venues • CS argued that conferences more important than journals; now we are suffering for it • grad students expected to publish in top places • Between a rock and hard place • grow PC, but lose coordination • shrink PC, but lose quality of reviews • Vicious cycle • people agreeing to do more PCs (can’t say no) • people do less per PC
Most Radical Idea • Rethink the role of conferences • reduce importance w.r.t. journals • reduce number and increase acceptance rates • conference presentations derived from “best” journal submissions (rather than vice versa) • make tenure evaluation based on quality of top five papers, not number of papers • Journals have better scale properties • larger reviewer pool • less time pressure on authors and reviewers
My Analysis and Suggestions (No implication for SIGMOD06)
Request to the Steering Committees • Experimenting with procedural changes • Observe • Make only one significant change for a while • Observe • Avoid second-order changes that do not address the pain point
Second Order Issues • Double-blind reviewing • Expected to impact on selection of “border-line” papers • Many ACM SIGs follow • SIGGRAPH, AAAI, SIGCOMM • Author Feedback • Good for “venting” • Tight timeline for reviewing makes it ineffective
Accommodating Growth • Acceptance rate • Acceptance rate is 15%, 20% or 39%? • Do the math! • Not lower than many other large conferences • Mandated changes seem unreasonable • Diversity and Narrowing of Topics • AAAI: “Big Ideas”, Tech papers, Abstracts • Independent conferences as tracks (like WWW) • Reuse journals as publication • Program Constraints • Presentation decoupled from acceptance • Posters and Plenary (old KDD style)
Impact on Reviewing Infrastructure • Choice of PC members crucial • Quality of Papers highly correlated with PC members • “Everyone is a PC member” • VLDB05: 610 reviewers • Large PC has likely to have high variability • VLDB05: 610 reviewers • But, otherwise 3-review load is too high • Suggestions (next 2 slides) • Short-cuts in reviewing process • Throttle the “flow” of papers
Reviewing Quality/Load • 2-level PC (but reduce dependence on external reviewers) [like AAAI, SIGGRAPH] • Senior PC member nominates • Handles 4/5 papers • Good training for future PC experience • Early Rejection • If a paper gets 2 “weak” rejects, it is rejected without a third review • General Chairs should yield more time to reviewing • Electronic PC requires it • Electronic Proceedings make it easy • We should learn/coordinate with broader CS community
Throttle the flow • No other ACM SIG engineers pipeline • SIGGRAPHICS or EuroGraphics • Mobicom or SIGCOMM • Takes motivation away to make serious changes • Selectively “break the pipeline” • VLDB-> ICDE • SIGMOD -> VLDB (except for roll-over papers) • Send the right (not polite) message • Weak Reject” vs. “Reject” • Very short reviews for bottom 10% - 20%
More Serious Issues beyond Publication Practices • Legacy of mid’80s – mid 90’s • Parallel DBMS, Query Optimization • Debate between deductive DB and OODB washed away! • Jury is still out on the last decade? • Today: • Are there too many problem statements? • Everyone working on “personalized” problems • Many “fuzzy” problems with “fuzzy” yardstick for solutions? • Worry: Weakening link to systems/hard engineering