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-GUIDE’s outcomes align with real-world needs.