Convergence Curriculum for Geospatial Data Science

Applying geospatial data science to complex and real-world problems is challenging. Solutions require multiple disciplinary perspectives, methodologies, and techniques. We cannot be experts in all, but building foundational literacy in each can be a professional asset. How can students, scholars, and professionals begin to build these literacies, especially outside of formal academic structures and without requiring a series of 15-week courses?

The Convergence Curriculum for Geospatial Data Science is an integrative framework to prepare next-generation students and current-generation scholars and professionals to tackle complex, convergent problems. At its base, the multi-tiered curriculum contains five Foundational Knowledge Threads that establish a common basis for individuals from diverse backgrounds. Each of these threads draws from its own relevant modes of thinking, data, methods, and tools & cyberinfrastructure.

Next, individuals integrate skills, knowledge, methods, and technologies as they move up through Knowledge Connections and Knowledge Frames. As the figure indicates, the Knowledge Connections reflect particular contributions from the Foundational Knowledge Threads.

Finally, the pinnacle of the curriculum is Knowledge Convergence, which blends the previous competencies with pre-existing domain knowledge.

Each component in the curriculum will be available at varying depths: 3 sentences, 3 slides, a 3-hour module, or a 3-week unit. This configuration allows individuals to adapt their experiences to match their learning pathways and needs.

This draft curriculum will continue to be developed, tested, and evaluated. Stay tuned for additional content releases as we continue to expand the curriculum. We are actively seeking feedback from our communities. The curriculum model has already been redesigned multiple times based on community feedback and listening sessions. We intend to continue this iterative approach with the curriculum materials, so please reach out with feedback.

Learn More about the NSF I-GUIDE Convergence Curriculum Program

Convergence Curriculum Powered by I-GUIDE

Eric Shook and Rajesh Kalyanam
2023 NSF I-GUIDE Forum
October 5, 2023

Convergence Curriculum for Geospatial Data Science

Eric Shook
February 7, 2023

The Convergence Curriculum for Geospatial Data Science: Open Resources for You and your Learners

Eric Shook
November 14, 2022

Navigating the Evolving Educational Landscape in a Convergent Geospatial World

Eric Shook
NSF I-GUIDE Webinar Series
March 23, 2022

Convergence Curriculum Components

1. Foundational Knowledge Thread (FKT)






2. Knowledge Connections (KC)


Geospatial Analytics

Data Mining

Geospatial Computing


3. Knowledge Frames (KF)

GeoAI (Geospatial Artificial Intelligence)

Geospatial Data Science

4. Domain Knowledge (DK)

Atmospheric Sciences

Urban Studies

5. Knowledge Convergence

Aging Dams

6. Community Contributions

Geoethics and Open Data

Food Insecurity

Urban Heat Island Mitigation