The NSF-funded Robust Epidemic Surveillance and Modeling (RESUME) project successfully convened a workshop entitled, “One Health surveillance and predictive intelligence for eco-epidemiological modeling” at the University of Chicago on April 27-28. 2023. This was part of a series of workshops designed to foster sustainable and interdisciplinary co-design for predictive intelligence and pandemic prevention. The event gathered 35 experts in eco-epidemiological surveillance, along with public health stakeholders, to build a shared vision for the required data and sensing capabilities to improve computational epidemiology. The workshop adopted the CDC’s One Health framework, a comprehensive, transdisciplinary approach that recognizes the interconnectedness of human, animal, plant, and environmental health at all levels. The workshop participants delved into key areas where data collected from multiple sources—air, water, animals, soils, and plants—could be optimized to enhance predictive intelligence for holistic epidemiological modeling. This report documents the key findings and takeaways provided by the participants during the workshop. This report documents the key findings and takeaways from the workshop.