The ASA Section on Statistical Learning and Data Science (SLDS) is pleased to announce that the 2026 SLDS Conference will take place November 1–3, 2026, at the New York Marriott at the Brooklyn Bridge. As the section’s flagship meeting, SLDS brings together researchers and practitioners from academia, industry, and government to exchange ideas at the forefront of statistical learning and artificial intelligence. The conference theme, “Inference and Intelligence,” highlights the dynamic interplay between principled statistical reasoning and modern algorithmic developments. The program will span a wide range of topics, including artificial intelligence, big data analytics, causal inference, deep learning, graphical models, high-dimensional statistics, learning theory, machine learning, model selection, network analysis, spatiotemporal modeling, and text and image analytics. Applications will reflect ongoing work across the health, social, and engineering sciences, as well as data-driven challenges arising in the technology, finance, and pharmaceuticals, and sports. The conference will feature keynote presentations from David Banks (Duke University), Dean Foster (Amazon), David Rosenberg (Bloomberg), and Bin Yu (University of California, Berkeley). Their participation highlights the conference’s commitment to fostering cross-sector collaboration and connecting methodological developments with real-world implementation. SLDS welcomes participation from the wider statistical learning and data science community in shaping the event: ● Invited session proposals: Jiwei Zhao (jiwei.zhao@wisc.edu) or Wen Zhou (wz3030@nyu.edu) ● Short course proposals: Giles Hooker (ghooker@wharton.upenn.edu) ● Student paper or poster judges: Nathaniel Sean O’Connell (Nathaniel.Oconnell@wfusm.edu) ● Sponsorship inquiries: Jaime Speiser (Jaime.Speiser@wfusm.edu) The local organizing committee, led by Yang Feng and Wen Zhou of New York University, will host the conference. Additional information on abstract submission, registration, and program updates will be available on the conference website: https://asa-slds.github.io/slds2026/ SLDS invites colleagues across the ASA community to mark their calendars, get involved, and share the announcement widely.