Data Science conferences

AMIA’s 2026 Annual Symposium examines how informatics can help health systems learn from data and improve patient outcomes. Its programme connects clinical informatics, translational bioinformatics and clinical research informatics through peer-reviewed papers, panels, workshops and posters. Topics include ambient AI, clinical decision support, real-world evidence, implementation science and governance, with attention to evaluating clinical data and translating research into individual and population care. Participants include clinicians, researchers, computer scientists, health IT specialists and policymakers. Programme leadership includes Victoria Tiase (University of Utah) and Adela Grando (Arizona State University); James Cimino (University of Alabama at Birmingham) presents an informatics year-in-review keynote. The meeting takes place in person November 7–11, 2026 at Hilton Anatole, 2201 Stemmons Freeway, Dallas, TX 75207. All times are Dallas local time, America/Chicago (CST, UTC−06:00 on these dates). Saturday workshops run 08:30–12:00 and 13:00–16:30. Sunday workshops run 08:00–11:30, followed by the opening plenary at 13:30–15:00. Scientific sessions start at 08:00 on Monday, Tuesday and Wednesday; Wednesday’s closing session is 11:15–12:15. Consult the linked official programme for individual sessions. Public registration is open to members and nonmembers and requires an AMIA account. Full registration includes workshops, with designated affiliate and selected special events excluded. Advance pricing through October 5 is USD 1,595 for nonmembers, USD 1,140 for professional members and USD 685 for student/trainee members; the corresponding standard rates are USD 1,770, USD 1,265 and USD 760. Some affiliate events and roundtables require separate invitations or registration.

SC26 connects researchers and practitioners developing high-performance computing, networking, storage and scientific data analysis. The programme includes research presentations, tutorials and workshops at McCormick Place in Chicago, 15–20 November 2026. Early rates run through 14 October. A digital participation option is available through the official registration page.

Researchers and practitioners will discuss mathematical foundations of data science, including high-dimensional geometry, dimensionality reduction, scalable algorithms, uncertainty and machine learning. The conference takes place in person at the Salt Palace Convention Center on 16–20 November 2026. Early rates run through 19 October; abstract and travel-support deadlines have passed. Registration also covers the co-located SIAM Imaging Science and Data Mining conferences.

NeuralNet is the annual scientific meeting of the GDR NeuralNet, a research network supported by the Centre National de la Recherche Scientifique (CNRS) that brings together researchers, engineers and specialists in neural data acquisition, analysis, interpretation and modelling, and fosters collaboration across systems neuroscience, computational modelling, NeuroAI and data science. The 15th annual meeting takes place from 25 to 27 November 2026 at Université Paris Cité, Campus Odéon, Paris. Keynote speakers are Asli Ayaz (VIB-KU Leuven Center for Neuroscience), Sophie Bagur (ESPCI), Joao Barbosa (Neurospin), Brice Bathellier (Institut de l'Audition), Alex Cayco Gajic (École Normale Supérieure), Keith Doelling (Institut de l'Audition), Audrey Hay (CRNL, Lyon), Quentin Perrenoud (École Normale Supérieure), Lorenzo Posani (Paris Brain Institute), Pascale Quilichini (Institut de Neurosciences des Systèmes, Marseille), Peter Rupprecht (Brain Research Institute, Zürich), Ourania Semelidou (Institute of Neurodegenerative Diseases, Bordeaux), Manuel Valero (HMRIB, Barcelona) and Katharina Wilmes (Institute of Neuroinformatics, Zürich). Abstracts for talks and posters are due on 26 October 2026. Early registration, until 10 November 2026, costs €200 for regular participants and €90 for students and postdocs, rising to €250 and €100; it covers the meeting, two breakfasts, one lunch, two coffee breaks, the Thursday evening poster session and a wine and cheese mixer. A separately registered minischool precedes the meeting from 23 to 25 November. Organized by GDR NeuralNet (CNRS).

The inaugural RACI conference on robotics, automation and machine learning in chemistry examines robotic synthesis, automated analysis, experimental planning, self-driving laboratories and chemical data science. Academic and industry researchers will exchange methods through plenary and contributed talks, posters and demonstrations. The meeting connects chemistry with robotics and AI, including cheminformatics and data-driven discovery. Paid registration includes the two-day programme, welcome reception and daytime catering; the conference dinner costs extra. Abstract submissions close on 31 October 2026, with acceptance notices on 15 November and early-bird rates through 30 November. The RACI registration table gives 18 February 2027 as the final registration date.

The American Statistical Association's ninth annual Symposium on Data Science and Statistics (SDSS) brings data scientists, computer scientists and statisticians together in Pittsburgh to exchange ideas. The programme combines refereed talks, lightning presentations and professional panel sessions across four tracks: data science applications; education and professional development; systems and infrastructure for applied data science; and AI and LLM applications. Refereed submissions consist of a 2,000-character abstract and a blinded two-page extended abstract, reviewed by the programme committee (roughly half are expected to be accepted), and presenters may also submit their work to the Journal of Data Science. Refereed abstracts are due on 30 November 2026 (11:59 p.m. ET), panel proposals on 10 December 2026 and lightning abstracts on 5 February 2027; early and speaker registration ends on 25 March 2027 and the housing deadline is 30 March 2027.

Neural Interfaces brings together researchers, clinicians, engineers and other stakeholders working on neurotechnology, brain-computer interfaces, neuroprosthetics and neuromodulation. The programme is developed through community proposals and original research abstracts. Its scope spans clinical applications, neuroscience and neural engineering, data and AI, device technology, translation and outcomes, and ethics, policy and workforce questions. The meeting connects foundational research with implementation and adoption of neural technologies. The speaker-proposal deadline was 12 October 2026 at 13:00 CDT; abstract submissions run from 12 November 2026 to 17 February 2027.

The Society for Industrial and Applied Mathematics convenes researchers developing and applying dynamical-systems methods across biology, chemistry, physics, climate science, social science, industry and data science. Themes include computational, experimental, theoretical and data-driven methods; AI-informed systems; fluid and climate dynamics; materials; networks; pattern formation; population dynamics; stochastic systems and tipping points. Minisymposium proposals are due 26 October 2026, followed by contributed lecture, poster and minisymposium-presentation abstracts on 23 November 2026.

The congress brings together statistical research and applications across academia, industry, government and official statistics. Its scientific scope includes survey methods, environmental and industrial statistics, probability, biostatistics, statistical computing, visualization and geospatial data, with attention to data science in the era of AI. Keynotes, research presentations and themed sessions connect methodological advances with practical problems. Invited-paper session proposals closed on 30 June 2026. The local host’s abstract call closed on 8 October 2026.