Focus Areas

Convergence Science Catalysts

Create the knowledge needed to solve complex problems of resilience and sustainability in the multi-scale and telecoupled contexts through geospatial data-intensive and multi-type (AI, theory-based, and mechanistic) analysis and modeling.

Geospatial Artificial Intelligence (AI) & Data Science

Advance geospatial AI and data science frontiers to enable convergence research and education through innovation of geospatial knowledge hypercubes.

Core CI Capabilities & Services

Integrate the distributed geospatial data capabilities and advanced CI to form a composable and accessible I-GUIDE platform to reduce time to science and support education and workforce development as well as broader community engagement.

Education & Workforce Development

Create convergent learning resources and programs to promote knowledge and skill acquisition and build geospatial data science competencies for diverse learners.

Engagement & Partnerships

Sustain a multi-faceted, ongoing engagement campaign consisting of a virtual consulting office, a partnership program, and a science communication program.

Evaluation & Knowledge Transfer

Evaluate and optimize I-GUIDE through bi-directional knowledge transfer to industry and public sector stakeholders by leveraging partnerships to assess both transfer mechanisms and the degree to which I-GUIDEā€™s outcomes align with real-world needs.