KDD 2026 (Second Cycle) - Applied Data Science (ADS) Track

The Applied Data Science (ADS) track at KDD 2026 invites high-quality submissions that showcase innovative applications of data science and machine learning to real-world problems. We welcome papers that demonstrate the impact of data-driven solutions in domains such as healthcare, finance, transportation, sustainability, and beyond. Submissions should highlight the technical novelty, practical relevance, and potential for societal benefit of the proposed approaches.