ECAI Topic Selection
Evaluates AI research contributions to route papers effectively between ECAI, PAIS, IJCAI, AAAI, and specialized venues.
ECAI Topic Selection helps academic researchers and AI practitioners decide the optimal submission venue and track for their research projects before drafting. By evaluating contribution shape, applying the model-swap test, and assessing general-AI audience fit, this skill guides authors between the ECAI main track, the co-located PAIS applied track, or alternative venues like AAAI, AAMAS, KR, and pure-ML conferences, while taking into account key calendar deadlines and the joint IJCAI-ECAI 2026 cycle.
主要功能
01Compares positioning between ECAI, IJCAI, AAAI, AAMAS, KR, and ML venues
02Applies the model-swap test to differentiate general AI contributions from pure machine learning papers
031,074 GitHub stars
04Determines whether a paper belongs in the ECAI main track versus the PAIS applications track
05Provides structured routing output covering contribution shape, venue recommendation, and calendar readiness
06Accounts for joint conference cycles such as the IJCAI-ECAI 2026 unified submission
使用场景
01Selecting between ECAI's general-AI main track and the real-world deployed PAIS applications track
02Deciding whether an AI paper belongs in ECAI or a specialized venue like AAMAS, KR, or NeurIPS
03Planning publication timelines and verifying conference cycle regimes before abstract registration