Full Papers
Comprehensive research contributions with detailed methodology, experiments, and analysis.
AI/CORE Unranked
KDD 2026
32nd SIGKDD Conference on Knowledge Discovery and Data Mining - Applied Data Science Track (Cycle 2)
KDD 2026 is the premier international conference on knowledge discovery and data mining, bringing together researchers and practitioners to present cutting-edge advances in data science, machine learning, and AI. The conference features multiple tracks including research, applied data science, AI for sciences, and special tracks for datasets, blue-sky ideas, tutorials, workshops, and consortiums.
Key deadlines
Verified September 9, 2026Abstract registration
February 2, 2026
AoE
Full paper
February 9, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
February 2, 2026 · AoE
Full paperKey deadline
February 9, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise submissions presenting novel ideas, preliminary results, or focused case studies.
Datasets and Benchmarks
Submissions of curated datasets and associated benchmarks for community use.
Lecture-Style Tutorials
Educational sessions designed to teach foundational or advanced topics in a structured format.
Hands-On Tutorials
Interactive sessions providing participants with practical experience using tools or techniques.
Workshop Proposals
Proposals for standalone workshops on specialized topics to be held in conjunction with the main conference.
KDD Cup Proposals
Proposals for data science competitions to be hosted as part of the KDD Cup challenge.
Ph.D. Consortium Contributions
Submissions from Ph.D. candidates seeking feedback on their research direction and progress.
Undergraduate Consortium Submissions
Submissions from undergraduate students presenting research projects or ideas.
Artifact Badging Submissions
Submissions seeking formal recognition for reproducible research artifacts.
Research areas in scope
01
Research Track
Knowledge DiscoveryData MiningMachine LearningArtificial IntelligenceBig Data Analytics
02
Applied Data Science (ADS) Track
Real-world ApplicationsIndustry Use CasesDeployed SystemsPractical Data Science
03
Datasets and Benchmarks Track
Novel DatasetsBenchmarking FrameworksData CurationEvaluation Standards
04
AI for Sciences Track
AI in Scientific DiscoveryComputational BiologyClimate SciencePhysics and Chemistry Applications
05
Blue Sky Ideas Track
High-Risk, High-Reward ConceptsTransformative IdeasFuture-Focused ResearchUnconventional 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.
- Page limits apply: full papers are limited to 10 pages, short papers to 6 pages (excluding references).
- Author lists and affiliations must be complete and accurate at submission.
- AI-generated content must be disclosed and appropriately attributed in submissions.
- Accepted papers must be presented in person by at least one 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