Full Papers
Original, complete research contributions with substantial technical depth and experimental validation.
AI/CORE Unranked
SIGKDD 2026
32nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2026 - Research Track (Second Cycle Deadline)
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 advances in data science, machine learning, and their applications. 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 presentations of novel ideas, preliminary results, or focused technical contributions.
Datasets and Benchmarks
Submissions of curated datasets and associated benchmarks for community use and evaluation.
Lecture-Style Tutorials
Educational sessions providing comprehensive overviews of established or emerging topics.
Hands-On Tutorials
Interactive sessions offering practical training in tools, techniques, or frameworks.
Workshop Proposals
Proposals for one-day or half-day workshops on specialized topics.
KDD Cup Proposals
Proposals for competitive data science challenges open to the community.
Ph.D. Consortium Submissions
Extended abstracts from Ph.D. candidates seeking feedback on their research.
Undergraduate Consortium Submissions
Submissions from undergraduate students presenting research projects or ideas.
Artifact Badging Submissions
Submissions to accompany papers with reproducible code, data, or tools for evaluation and reuse.
Research areas in scope
01
Research Track
Knowledge DiscoveryData MiningMachine LearningArtificial IntelligenceBig Data AnalyticsStatistical MethodsData VisualizationPrivacy and Security in Data ScienceFairness, Accountability, and Transparency in AITemporal and Spatial Data AnalysisGraph Mining and Network AnalysisRecommender SystemsNatural Language ProcessingDeep LearningReinforcement Learning
02
Applied Data Science (ADS) Track
Real-world Applications of Data ScienceIndustry Use CasesHealthcare AnalyticsFinance and EconomicsSocial Impact and Public PolicyEnvironmental Data ScienceSmart Cities and TransportationManufacturing and Supply Chain Analytics
03
Datasets and Benchmarks Track
Novel DatasetsBenchmarking FrameworksData CurationData ProvenanceReproducibility in Data Science
04
AI for Sciences Track
AI for BiologyAI for ChemistryAI for PhysicsAI for Climate ScienceAI for AstronomyAI for Earth Sciences
05
Blue Sky Ideas Track
High-Risk, High-Reward ResearchRadical New ConceptsFuture Directions in Data ScienceUnconventional Methodologies
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 for full papers and 6 pages for short papers (excluding references).
- Author lists and affiliations must be complete and accurate upon 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.
- All submissions must comply with ethical guidelines for data use and human subjects research.
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