Authors
James Sanovia (CIRES), James Rattling Leaf (CIRES), Lilly Jones (CIRES), Cibele Amaral (CIRES), Ty Tuff (CIRES), Jennifer Balch (CIRES), Nathan Quarderer (CIRES), Tyson Swetnam (CIRES), Erick Verleye (CIRES), Chelsea Nagy (CIRES), Elsa Culler (CIRES)

Abstract

The Environmental Data Science Innovation and Inclusion Lab (ESIIL) is at the forefront of a data revolution, collaborating closely with Tribal Colleges and Universities (TCUs) and Tribal offices to bridge critical gaps in data infrastructure and analytics within tribal communities. Partnering with CyVerse, ESIIL places a strong emphasis on cyberinfrastructure and data sovereignty, offering extensive training opportunities tailored for tribal partners, TCU faculty, and students. Driven by a commitment to interdisciplinary and intercultural collaboration, ESIIL's research community integrates team science, cyberinfrastructure, education and Traditional Ecological Knowledge (TEK) to advance actionable environmental data science. Strategic alliances with Tribal entities and the American Indian Higher Education Consortium (AIHEC) are pivotal in propelling innovation in Earth and Environmental Data Science, leading to the establishment of TCUs and Tribal Working Groups, as well as the development of Data Cubes and Sovereign Enclaves through ESIIL's data cubes and CyVerse cyberinfrastructure. A significant initiative led by ESIIL involves the integration of data cubes into ecological and environmental research paradigms within tribal colleges, grounding efforts in the principles of Tribal data sovereignty. Through practical case studies, the initiative showcases the transformative potential of data cubes in amplifying research capabilities within tribal college contexts. Furthermore, ESIIL is actively exploring emerging trends in data science, particularly advanced computational techniques, with a keen eye on assessing their potential benefits for tribal colleges and communities. Recognizing the inherent challenges associated with data management and processing within tribal communities, the initiative underscores the critical importance of advancing data interoperability and devising robust integration techniques. Promising avenues for progress include the aggregation of multi-source datasets, the development of open-source tools for data integration, and deepening understanding of the implications of advanced computational techniques for data analytics and harmonization. At its core, the initiative emphasizes the strategic role of partnerships with tribal entities, the provision of comprehensive training initiatives, and the promotion of cutting-edge research. These elements are essential for addressing the complex data challenges faced by tribal communities. In conclusion, ESIIL underscores the critical importance of Tribal data sovereignty and outlines initial steps towards the adoption of advanced computational techniques in tribal colleges and Tribal communities, fostering an environment where data challenges are systematically addressed and sovereignty upheld.