Leveraging Data to Drive Effective Heat Protection Policies
As extreme heat events become more frequent and severe, experts warn that critical data gaps are hindering efforts to protect communities from heat-related illness and death. Effective policy, whether at the state, local, or organizational level, relies on timely, representative, and transparent data. Advocates emphasize that data should not only be accessible but also collected and managed in partnership with the communities most affected.
To address these challenges, the National Academy of Medicine’s Climate Communities Network will host a virtual convening aimed at bridging the gap between science, policy, and community action. The event, which will feature optional pre- and post-sessions, will bring together community members, policymakers, health professionals, and other stakeholders working at the intersection of heat, health, and policy.
The convening will showcase proven strategies to close heat-health data gaps, highlight successful policy models, and examine how data-driven decisions can decrease heat-related deaths and enhance public health outcomes. Attendees will leave with practical tools and resources tailored to their roles, whether in government, healthcare, or community groups, to promote equitable, evidence-based heat policies.
“The National Academy of Sciences, National Academy of Engineering, and National Academy of Medicine—collectively, the National Academies—are independent, non-partisan, and tax-exempt. The mission of the National Academies is the provision of trusted, evidence-based advice. It is essential to the execution of the mission that participants in our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. Statements and presentations made are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academies.”
(Source: https://nam.edu/event/leveraging-data-to-drive-effective-heat-protection-policies)
© 2025 National Academy of Sciences. All rights reserved.
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