Research framework and source list for 2026 offline AI events in the USA (focus on NYC)
Define inclusion criteria: offline-only; domains: AI/ML/CV/Generative AI/Data Science/AI Technologies; date range: 1 Jan–31 Dec 2026; USA locations with emphasis on New York City.
Outline targeted event types: conferences, summits, expos, symposiums, workshops, meetups, roundtables, panel discussions, hackathons (offline).
Prepare focused search queries and operator patterns for 2026 events, including alternatives for tentative dates and historical pages (2025) to infer expected attendance.
List priority sources: official event websites, reputable conference calendars, venue calendars, major organizers’ sites, university and lab event pages, Meetup groups (NYC), professional associations (ACM, IEEE, AAAI, Data Science groups), and media/partners.
Enumerate known flagship AI events typically held in the USA and assess likelihood/location for 2026, noting verification needs (e.g., NeurIPS, CVPR, AAAI, ICML, KDD, SIGKDD, ODSC, AICamp, Data Council, VentureBeat Transform, Nvidia GTC, AWS re:Invent AI-related tracks, Deep Learning World, Applied ML Days US editions, etc.).
Define data fields to collect per event: name, official URL, event dates in 2026, city, expected participants (use 2025 numbers if 2026 not yet announced), participation format and pricing (free vs paid, ticket tiers), event format/type (conference, summit, roundtable, workshop, meetup, panel discussion, hackathon), and offline confirmation evidence.