Our town halls provide a platform for those working on the exposome and its related fields to guide this emerging area of research and practice.
Our next town hall sessions will solicit community input on how AI should—and should not—be used in exposome research and identify the logistical, methodological, and ethical issues that could affect its responsible implementation.
Please note that both sessions listed below will have the same content and format. Participants are invited to attend either or both of the sessions.
4:00 pm ET / 1:00 pm PT
10:00 am ET / 3:00 pm GMT
Artificial intelligence and machine learning are increasingly used to process, harmonize, analyze, and interpret complex environmental, social, spatial, and life course data. These approaches offer important benefits for the field, including facilitating data integration and identifying exposure patterns.
However, AI also raises concerns about transparency, bias, validity, reproducibility, privacy, interpretability, equity, cost, and governance. As such, it may not be appropriate for every research question or dataset.
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In the fall of 2024, the GECC hosted a series of town hall meetings with nearly 300 unique participants from 130 organizations across 21 countries. These meetings yielded critical insights that will guide the GECC’s efforts over the next five years. These insights will help prioritize research areas where the GECC will create new resources and tools for researchers studying the exposome and its impact on brain health.
Participants discussed themes including:
Participants discussed the following topics:
Participants discussed the following topics:
Across the seven domains and working groups, three shared priorities emerged:
Each domain also developed its own areas of focus for future research: