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Member Since 2013
Xiaogang Ma
Professor, University of Idaho
Xiaogang (Marshall) Ma is a Professor of Computer Science at the University of Idaho. He received his Ph.D. degree of Earth Systems Science and GIScience from University of Twente, Netherlands in 2011, and then completed postdoctoral training in Data Science at Rensselaer Polytechnic Institute. His research focuses on deploying data science in the Semantic Web to support cross-disciplinary collaboration and scientific discovery.
Professional Experience
University of Idaho
Professor
2026 - Present
Education
University of Twente
Doctorate
2011
Xiaogang's AGU Research
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Honors & Awards
Charles S. Falkenberg Award
Received December 2025
Citation
Professor Xiaogang “Marshall” Ma is an exemplary geoinformatics scientist whose pioneering work has transformed how data are collected, shared, and applied across the Earth and environmental sciences. He has been at the forefront of data-driven geoscience, semantic technologies, and cyberinfrastructure development and demonstrated how open and interoperable data can advance scientific discovery, improve public understanding, and benefit society.
Focused on the efficient deployment of semantic technologies in data science workflows, Dr. Ma’s research addresses the role of machine-readable semantics in both data curation and knowledge-infused data analysis. His work has accelerated scientific discoveries in mineral evolution, global climate change, ecology, geochemistry, and paleobiology by building knowledge graphs, scalable data ecosystems, and data analysis and visualization tools.
As the principal investigator of the National Science Foundation (NSF)-funded projects like OneMineralogy, OpenMindat, and Tickbase, among many others, Professor Ma has led multiple geo- and bioscience communities in making their data FAIR (findable, accessible, interoperable, and reusable). The OpenMindat project, developed through NSF EarthCube, helped advance Mindat.org, the world’s largest mineral database, into an open-access, FAIR-compliant community resource. TickBase integrates environmental, biological, and social data to model tick-borne diseases, while additionally engaging K–12 learners through educational video games.
Marshall has written over 120 peer-reviewed papers covering diverse topics, such as machine-readable provenance, geoscience ontologies, spatial analysis algorithms, and artificial intelligence in Earth system analysis. Marshall also holds leadership roles in key scientific communities like the Geological Society of America, Earth Science Information Partners, and European Geosciences Union and serves as an editor for leading journals, including Data Science Journal and Applied Computing and Geosciences. Marshall's vision for geoinformatics and his methods have gained international recognition, evidenced by awards like the M. Lee Allison Award, the International Association for Mathematical Geosciences’ Vistelius Research Award, Science of Team Science’s Meritorious Contribution Award, ISCU-WDS Data Stewardship Award, and nearly $10 million in grant funding.
Dr. Ma’s extraordinary ability to translate technical innovation into cyberinfrastructure construction, scientific discovery, and meaningful public benefit places him at the forefront of modern geoinformatics. Much like Charles S. Falkenberg himself, Dr. Ma exemplifies how data can improve both science and society.
—Anirudh Prabhu, Earth and Planets Laboratory, Carnegie Science, Washington, D.C.
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