Yes. Through Observatory Protocol (OP), researchers can propose simulation modules, refine predictive models, or validate novel AI/ML approaches. The ecosystem’s participatory governance encourages contributions that enrich the communal knowledge base.

They ensure consistent definitions, easier data harmonization, and more robust cross-comparisons between studies. Shared ontologies expedite peer review, reduce duplication, and improve reproducibility, facilitating more accurate meta-analyses.

Academia can form cooperative R&D agreements with GCRI, accessing advanced HPC resources (NEXCORE) and data orchestration (NEXQ). This fosters joint publications, real-world pilot programs, and AI model validation across multiple risk domains.