The National Science Foundation (NSF) Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE) aims to transform geospatial data-intensive sciences through integration of AI and cyberGIS, reproducible data-intensive analytics and modeling, FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, and innovative education and workforce development programs. This transformation catalyzes new convergence science necessary to drive advances across many fields ranging from computer, data and information sciences to atmospheric sciences, ecology, economics, environmental science and engineering, human-environment and geographical sciences, hydrology and water sciences, industrial engineering, sociology, and statistics. Through synergistic advances of these fields I-GUIDE is empowering diverse communities to produce data-intensive solutions to society’s resilience and sustainability challenges.

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our 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 Cyberinfrastructure (CI) Capabilities & Services

Integrate distributed geospatial data capabilities and advanced CI to form a composable and open I-GUIDE platform to accelerate scientific workflows 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

Collaborating Institutions

I-GUIDE is built as an interdisciplinary and transdisciplinary institute bringing together researchers, educators and technologists from various fields to drive synergistic advances through convergence science.