Posted 17 July 2026

Workshops

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Pre-Meeting Workshops

 

 

This interactive, in-person workshop helps pediatric clinicians strengthen conversations with caregivers who have questions or concerns about vaccines. Participants will explore the current vaccine hesitancy landscape, review common concerns and misinformation trends, and practice evidence-based communication strategies including risk communication, presumptive communication and motivational interviewing. Through simulated patient encounters and real-world scenarios, learners will build confidence in responding to hesitancy, maintaining trust, supporting shared decision-making, and improving vaccine acceptance among children and their families. 

Wednesday, November 18, 2026
8:30 am - 12:30 pm ET
Gaylord National Harbor
National Harbor, Maryland, USA
Room: Chesapeake 5
Register today!
(must be registered for the Annual Meeting in order to register for a Workshop)

 

 

Replication Games are free, 1-day events which provide faculty, early career researchers, and graduate students, an opportunity to expand their knowledge of good practices in open science while networking with local researchers in a fun and welcoming environment. Breakfast and lunch are provided to participants during the day. We further coordinate a post-games social event for all participants.

Teams of “reproducers” will be assigned a published paper which they will work on (1) reproducing and (2) performing robustness checks from the published paper’s online replication folder. Teams will then write up a report summarizing the reproducibility and replicability of the published paper. Completion of a report gives reproducers coauthorship on a Meta Paper and may have a mediated interaction with the original authors by I4R.

Wednesday, November 18, 2026
8:30 am - 4:45 pm ET
Gaylord National Harbor
National Harbor, Maryland, USA
Room: Chesapeake C
Register today!
(must be registered for the Annual Meeting in order to register for a Workshop)

 

National Academy of Sciences Workshop

Strengthening Surveillance and Outbreak Detection Systems Through AI/ML Approaches

Advances in artificial intelligence (AI) and machine learning (ML) are creating new opportunities to strengthen infectious disease surveillance, improve outbreak detection, integrate diverse data streams, and support public health decision-making. At the same time, questions remain regarding implementation, governance, workforce capacity, and the responsible deployment of AI-enabled tools, particularly in low- and middle-income countries. This expert meeting will bring together leaders from public health, academia, philanthropy, and technology to examine practical applications of AI/ML approaches and identify opportunities to strengthen surveillance and preparedness systems.

Wednesday, November 18, 2026
1 pm - 4 pm ET
Gaylord National Harbor
National Harbor, Maryland, USA
Room: TBD
This workshop is not currently open to registered attendees.