Full Papers
Comprehensive research contributions with detailed methodology, experiments, and analysis.
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SIGKDD 2026
32nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2026 - Workshop Proposal
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 and applications in data science. The conference features multiple tracks including research, applied data science, AI for sciences, and specialized tracks for datasets, blue sky ideas, tutorials, workshops, and consortiums.
Key deadlines
Verified September 9, 2026Full paper
February 6, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 6, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise submissions presenting early-stage work, novel ideas, or focused applications.
Datasets and Benchmarks
Submissions of curated datasets and associated benchmarks for reproducible research.
Lecture-Style Tutorials
Educational sessions providing in-depth overviews of established or emerging topics.
Hands-On Tutorials
Interactive sessions offering practical training in tools, techniques, or frameworks.
Workshop Proposals
Proposals for standalone workshops on specialized topics, to be held alongside the main conference.
KDD Cup Proposals
Proposals for competitive data science challenges open to participants worldwide.
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 or project work.
Artifact Badging Submissions
Submissions seeking formal recognition for reproducible and reusable research artifacts.
Research areas in scope
01
Research Track
Knowledge DiscoveryData MiningMachine LearningArtificial IntelligenceBig Data AnalyticsStatistical MethodsData VisualizationPrivacy and Ethics in Data Science
02
Applied Data Science (ADS) Track
Real-world ApplicationsIndustry Use CasesDeployed SystemsImpactful Data Science Solutions
03
Datasets and Benchmarks Track
High-quality DatasetsBenchmarking FrameworksData CurationReproducible Experiments
04
AI for Sciences Track
AI in BiologyAI in ChemistryAI in PhysicsAI in Climate ScienceScientific Discovery
05
Blue Sky Ideas Track
High-risk, High-reward IdeasNovel Theoretical ConceptsUnconventional ApproachesFuture Directions in Data Science
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 double-blind review.
- Papers must not exceed 10 pages in ACM format (excluding references).
- Author lists and affiliations must be complete and accurate at submission.
- Changes to authorship after the submission deadline require formal approval.
- Use of generative AI tools must be disclosed in a dedicated section of the paper.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop siteFull ProgramWorkshopsTutorialsAuthor Presentation InstructionsResearch Track: Call for Papers
Last verified September 9, 2026