Full Papers
Original, complete research contributions with substantial technical depth and experimental validation.
AI/CORE Unranked
KDD 2027
33rd SIGKDD Conference on Knowledge Discovery and Data Mining - AI for Sciences Track Cycle 1 (July)
KDD 2027 is the premier international conference on knowledge discovery and data mining, bringing together researchers and practitioners to present cutting-edge work in data science, machine learning, and real-world applications. The conference features multiple tracks including the Research Track and the Applied Data Science (ADS) Track, emphasizing both theoretical advances and practical impact.
Key deadlines
Verified September 9, 2026Abstract registration
July 20, 2026
AoE
Full paper
July 27, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
July 20, 2026 · AoE
Full paperKey deadline
July 27, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of novel ideas, preliminary results, or focused case studies with clear impact.
ADS Track Papers
Applied work demonstrating real-world deployment, impact, and lessons learned from data science in industry or societal contexts.
Research areas in scope
01
Research Track Topics
Machine LearningDeep LearningReinforcement LearningGraph Mining and Network AnalysisData MiningBig Data AnalyticsPrivacy and Security in Data ScienceFairness, Accountability, and Transparency in AINatural Language ProcessingRecommendation SystemsTime Series AnalysisScientific Data ScienceHuman-Centered Data ScienceOptimization Methods for Data ScienceGenerative ModelsCausal InferenceExplainable AIData Integration and Cleaning
02
Applied Data Science (ADS) Track Topics
Real-world Deployments of Data ScienceIndustrial Applications of ML/AIData Engineering and PipelinesScalable Systems for Data ScienceData Science in Healthcare, Finance, and Public PolicyEthical and Responsible Deployment of Data ScienceUser Engagement and Impact EvaluationOperationalizing ML ModelsData Science in Education and Sustainability
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 6 pages, excluding references.
- Dual submission to other conferences or journals with overlapping content is prohibited.
- Author lists and affiliations may not be changed after the submission deadline.
- All submissions must include a statement on the use of AI-assisted tools in the research and writing process.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteResearch Track: Call for PapersApplied Data Science (ADS) Track: Call for PapersDatasets and Benchmarks Track: Call for PapersAI for Sciences Track: Call for PapersFAQ for Resubmission
Last verified September 9, 2026