CIP-Net Working Groups

Facilitating network-wide sharing of scientific resources, models, assays, data, and expertise to accelerate cancer immunoprevention research and reduce duplication across CIP-Net sites.

Advancing the field of computational oncology by bridging computational advancements-spanning data science and AI—with applications in cancer research areas, such as immuno-oncology, therapy resistance, and prevention science.

Connecting CIP-Net researchers, patients, patient advocates, and the broader public through accessible communication, meaningful dialogue, and community-informed cancer immunoprevention research.