ICDT Topic Selection

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Evaluates and routes database theory research papers to ICDT, PODS, EDBT, TCS venues, or academic journals based on theoretical scope and conference deadlines.

ICDT Topic Selection assists database theory researchers in determining whether their research project aligns with the International Conference on Database Theory (ICDT) or should be routed to PODS, EDBT, pure TCS venues (LICS, ICALP, STACS), or archival journals like ACM TODS and LMCS. It provides actionable diagnostic tests—such as the PODS-swap test and the Consequence test—to verify whether a theorem has genuine data-management implications, assesses upper and lower bound expectations, and helps authors make informed submission decisions based on publication models and conference cycle calendars.

主な機能

01Diagnostic sharpening tests including the PODS-swap and data-management consequence checks
02Sibling-venue routing matrix spanning ICDT, PODS, EDBT, LICS, ICALP, and major journals
03Track assessment covering regular tracks, cycle-1 revisions, and 'Database Theory in Action' submissions
04Theoretical depth verification ensuring matching upper and lower bounds where expected
051,079 GitHub stars
06Reconnaissance heuristics analyzing bibliography distributions and recent conference proceedings

ユースケース

01Choosing between ICDT and PODS based on submission deadlines, community pull, and LIPIcs open-access preferences
02Identifying when experimental algorithms or systems contributions should be redirected to EDBT
03Assessing whether generic finite model theory or logic papers belong in pure TCS venues like LICS or ICALP