Date: August 9–13, 2026
Location: Jeju, South Korea
Type: Conference
Website: kdd2026.kdd.org
What Is ACM KDD 2026?
ACM KDD 2026, the 32nd edition of the Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) annual conference, is widely regarded as the premier international event in the fields of knowledge discovery and data mining. Scheduled for August 9–13, 2026, on the scenic island of Jeju, South Korea, this conference brings together the global data science, machine learning, AI, and big data analytics community for five days of intensive knowledge exchange.
Organized by ACM SIGKDD, the conference has been the flagship venue for cutting-edge research and applied data mining since its inception. ACM KDD 2026 continues this tradition by serving as a critical platform where academic researchers, industry practitioners, and domain experts present novel algorithms, systems, and methodologies. The event is particularly known for its rigorous peer-reviewed paper track, which sets the standard for excellence in data-driven discovery.
Why does ACM KDD 2026 matter? As organizations worldwide grapple with ever-growing datasets and the need for interpretable, scalable AI solutions, KDD remains the definitive forum for bridging theoretical advances with real-world deployment. The conference’s emphasis on both fundamental research and practical applications makes it an essential calendar item for anyone serious about the future of data intelligence.
Why It Matters for AI Professionals
For AI professionals, ACM KDD 2026 offers an unparalleled opportunity to stay at the forefront of the field. The conference consistently publishes work that defines the next wave of machine learning techniques, from graph neural networks and causal inference to responsible AI and automated machine learning. Attendees gain direct exposure to breakthrough methodologies before they become mainstream, giving them a competitive edge in building smarter, more efficient systems.
Beyond the research sessions, the conference facilitates deep networking with peers from top-tier tech companies, leading universities, and innovative startups. The KDD Cup competition, a hallmark of the event, provides a unique hands-on challenge that tests practical data mining skills against real-world datasets. For professionals looking to validate their expertise or recruit top talent, ACM KDD 2026 is the year’s most concentrated gathering of data mining and AI talent.
What to Expect
ACM KDD 2026 will feature a comprehensive program designed to cover the full spectrum of knowledge discovery and data mining. Key components include:
- Research Paper Presentations: Peer-reviewed oral and poster sessions presenting the latest theoretical and empirical advances in data mining, machine learning, and AI.
- Tutorials: In-depth instructional sessions led by domain experts, covering foundational topics and emerging techniques.
- Workshops: Focused gatherings on specialized themes such as fairness in AI, graph mining, and industrial applications.
- KDD Cup Competition: The famous annual data mining challenge where teams compete to solve a complex, real-world problem using provided datasets.
- Keynote Talks: Invited presentations from leading figures in academia and industry (specific speakers to be announced).
- Exhibits and Demos: Showcases from technology vendors, research labs, and open-source projects.
The conference will emphasize themes including scalable machine learning, data-centric AI, interpretability, and the integration of domain knowledge into data-driven pipelines.
Who Should Attend
ACM KDD 2026 is designed for a diverse audience spanning the entire data ecosystem. This includes data scientists and machine learning engineers seeking to deepen their technical expertise; academic researchers and PhD students presenting or learning about frontier research; AI product managers and technical leads evaluating new tools and methodologies; and C-suite executives and data strategists interested in the strategic implications of advanced analytics. The conference also welcomes domain experts from fields such as healthcare, finance, e-commerce, and cybersecurity who apply data mining to solve industry-specific challenges.
How to Register
Registration for ACM KDD 2026 will open on the official conference website. Pricing tiers typically include early-bird rates for ACM members, non-members, and students, with reduced fees for attendees from developing countries. Specific pricing details for the 2026 edition are to be announced. To secure your place and receive updates, visit the official website at kdd2026.kdd.org and monitor the registration page. Given the conference’s popularity, early registration is strongly recommended.
