ACM SIGKDD Conference on Knowledge Discovery and Data Mining — 2026

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

About the Conference
KDD is the premier international conference for research and innovation in data science, machine learning, and big data. It brings together academics, industry leaders, and practitioners to share breakthroughs in algorithms, systems, and real-world applications.

Who Should Submit

• Researchers developing novel methods in data mining, machine learning, AI, and applied data science.
• Authors presenting applied case studies in domains such as healthcare, finance, social networks, recommender systems, or natural language processing.
• Scholars contributing surveys, systematization, or reproducibility-focused studies that advance the data science community.

Who Should Attend

• Academics and students eager to learn from leading experts and present cutting-edge work.
• Industry professionals seeking practical insights into applying data science and AI to real-world problems.
• Policymakers, entrepreneurs, and technologists interested in the societal impact of large-scale data-driven systems.

Why It Matters
KDD is a globally recognized venue that blends deep technical research with applied innovation, making it a hub for shaping the future of data science and its impact on industry and society.

  For more information, visit the conference website