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.
Advance geospatial AI and data science frontiers to enable convergence research and education through innovation of geospatial knowledge hypercubes.
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.
Create convergent learning resources and programs to promote knowledge and skill acquisition and build geospatial data science competencies for diverse learners.
Sustain a multi-faceted, ongoing engagement campaign consisting of a virtual consulting office, a partnership program, and a science communication program.
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.