Full Papers
Comprehensive research contributions with detailed methodology, experiments, and analysis.
AI/CORE Unranked
SIGKDD 2026
32nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2026 - Blue Sky Ideas Track
KDD 2026 is the premier international conference on knowledge discovery and data mining, hosted in Korea, bringing together researchers and practitioners to present cutting-edge research across all areas of data science. The conference features multiple tracks including research papers, applied data science, datasets, AI for sciences, and blue sky ideas, alongside tutorials, workshops, and consortiums.
Key deadlines
Verified September 9, 2026Abstract registration
February 2, 2026
AoE
Full paper
March 13, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
February 2, 2026 · AoE
Full paperKey deadline
March 13, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Applied Data Science Papers
Practical applications of data science in real-world settings with measurable impact.
Datasets and Benchmarks
Novel datasets and associated benchmarks for reproducible research.
AI for Sciences Papers
Research applying AI techniques to solve problems in scientific domains.
Blue Sky Ideas
Visionary, speculative, or highly innovative ideas with potential for future impact.
Lecture-Style Tutorials
Educational sessions presenting foundational or advanced topics in a lecture format.
Hands-On Tutorials
Interactive sessions providing practical training with tools, code, or datasets.
Workshop Proposals
Proposals for standalone workshops on specialized topics.
KDD Cup Proposals
Proposals for competitive data science challenges.
PhD Consortium Submissions
Extended abstracts from PhD candidates seeking feedback on their research.
Undergraduate Consortium Submissions
Research summaries or project reports from undergraduate students.
Artifact Badging Submissions
Submissions to earn badges for reproducible research artifacts.
Research areas in scope
01
Research Track
Knowledge DiscoveryData MiningMachine LearningArtificial IntelligenceBig Data AnalyticsStatistical MethodsData VisualizationPrivacy and SecurityFairness and EthicsRecommender SystemsNetwork AnalysisTemporal and Spatial DataNatural Language ProcessingHealthcare AnalyticsScientific Data Analysis
02
Applied Data Science (ADS) Track
Real-world ApplicationsIndustry Case StudiesDeployed SystemsOperational Data ScienceBusiness IntelligenceData EngineeringScalable Analytics
03
Datasets and Benchmarks Track
Novel DatasetsBenchmarking FrameworksData CurationEvaluation ProtocolsReproducible Experiments
04
AI for Sciences Track
AI for PhysicsAI for BiologyAI for ChemistryAI for Climate ScienceAI for AstronomyAI for Materials Science
05
Blue Sky Ideas Track
High-risk, High-reward ConceptsTransformative IdeasFuture DirectionsRadical InnovationsUnconventional Approaches
Policies worth checking twice
- Submissions must be original and not under review elsewhere.
- Dual submission to other conferences or journals is not permitted.
- All submissions must be anonymized for blind review.
- Papers must not exceed 10 pages (excluding references) for full papers.
- Author lists and affiliations must be complete and accurate upon submission.
- AI-generated content must be disclosed and appropriately cited in submissions.
- Accepted papers must be presented in person by an author.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteFull ProgramWorkshopsTutorialsAuthor Presentation InstructionsResearch Track: Call for Papers
Last verified September 9, 2026