Help identify potential stakeholders by filling out the linked form and nominating yourself and others working in exposomics or related fields.
The Human Exposome, which encompasses the integrated compilation of all physical, chemical, biological, and psychosocial influences that impact biology, requires a comprehensive characterization to translate its potential into medicine and public health practice. It is meant to complement the Human Genome Project with the exposure side of disease. Achieving this ambitious goal demands an international, coordinated effort involving governments, organizations, scientists, funders, the technology sector and the public, — a “moonshot” approach. The inaugural Exposome Moonshot Forum aims to gather these diverse stakeholders to collaboratively translate the exposome from concept to utility.
A central feature of the Forum will be smaller discussions targeting key focus areas within the field of exposomics. Below is what has been proposed thus far, however refining and reframing these items as necessary will be part of the project’s Council’s contributions:
1. Roadmap towards the Human Exposome Project: Developing a clear and actionable plan for the comprehensive characterization and utilization of the Human Exposome.
2. Exposome & Enabling Technologies: Considering how to develop a Human Exposome Project which allows for regular integration and leveraging of available and anticipated technologies.
3. Exposome & AI: Exploring the integration of artificial intelligence in exposomics to enhance data analysis and interpretation.
4. Exposome, Environmental Justice & Ethics: Addressing how exposomics can advance environmental justice by identifying and mitigating disproportionate environmental exposures in vulnerable populations and ensuring that ethical considerations are at the forefront of exposomics research and applications.
5. Global Organization of the Exposome Moonshot: Establishing a global governance structure for the Exposome Moonshot, harmonizing international collaborations and participation, centralizing data collection, analysis and storage, and determining best practices for translating data into practice.