Data & Analytics
SLDS Conference
The SLDS 2026 Conference on Statistical Learning and Data Science is a flagship event of the ASA Section on Statistical Learning and Data Science, bringing together researchers from academia, industry, and government in statistical machine learning and artificial intelligence. The conference focuses on statistical learning theory, methods, and applications.
The essentials
Event details
- Dates
- 1 November 2026 to 3 November 2026
- Organiser
- ASA Section on Statistical Learning and Data Science
- Industry
- Data & Analytics
Who attends
The audience
The main goal of the conference is to bring together researchers in statistical machine learning and artificial intelligence from academia, industry, and government in a relaxed and stimulating atmosphere.
As described by the organiser
Agenda themes
Topics covered
- Education & Training
- IT & Technology
On stage
Speakers
- Tian Zheng
- Dean Foster
- David Banks
- David Rosenberg
- Camilo Ortiz
On the floor
Sponsors and partners
- National Science Foundation
- New York University
- NSF
- NYU School of Global Public Health
- East River Technology
- MBZUAI
- BBG Engineering
- WFUSM Biostatistics
- ASA BIOP
- Wharton Statistics and Data Science Department
Logistics
Where to stay
Places to stay near the venue.
Sleep Inn
Brooklyn Vybe Hotel
1024 Flatbush Avenue, Brooklyn
Ramada
169 Empire Boulevard
Plan this event
Work out who to meet here
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