Xiaogang Ma


Xiaogang Ma or Marshall Ma is a data science and geoinformatics researcher at the University of Idaho, United States. He is an associate professor in the department of computer science at UI, and also affiliates with the department of earth and spatial sciences and several research institutes and centers at the university.

Early life and education

Ma was born in Tianmen, an inland county in Central China. He finished college and graduate studies at China University of Geosciences (Wuhan) in the early 2000s. Then in 2007 he went to ITC, the Netherlands for PhD study, originally affiliating with Utrecht University and then University of Twente. In 2011, he was awarded a PhD degree of Earth System Science and GIScience from University of Twente with his dissertation "Ontology Spectrum for Geological Data Interoperability". In early 2012, Ma joined the Tetherless World Constellation at Rensselaer Polytechnic Institute as a postdoctorate fellow, with financial supports from the Sloan Foundation and NSF. At RPI, he received intensive training of data science methods and semantic technologies, and he participated and led several research projects. In 2014, Ma was promoted to associate research scientist at RPI.

Career

Ma's research addresses the needs of methods and building blocks in the cyberinfrastructure ecosystem to facilitate data science. At RPI, he took leadership roles for ontology development in the Global Change Information System of the U.S. Global Change Research Program and data science activities of the Sloan-funded Deep Carbon Observatory. He also taught a data analytics course for the Department of Earth and Environmental Sciences at RPI.
In 2016, Ma joined the Department of Computer Science at University of Idaho. He continued his research on data science and geoinformatics at UI, including knowledge graphs, open data, and algorithms for spatio-temporal analysis, and he created several new courses related to data science and open data. In 2016 and 2017 Ma was an affiliate scientist with MILES - Managing Idaho's Landscapes for Ecosystem Services project, where he contributed to the cyberinfrastructure development. In 2018, he co-initiated the U.S. Semantic Technologies Symposium and received sponsorship from NSF, the Sloan Foundation, and Elsevier's Artificial Intelligence journal. Since 2017, Ma has worked intensively on the deep-time data science, with several projects funded by NSF and NASA, including the OpenMindat project to provide open access to the data of Mindat.org, the largest database of minerals in the world. He has also been active in community programs or initiatives, including the Deep-Time Data Infrastructure, the Deep-time Data Driven Discoveries, and the IUGS Deep-time Digital Earth. In 2020 and 2021, Ma led a team of researchers from four U.S. universities and received a multi-million grant from NSF to conduct cross-disciplinary data science studies on climate change, ecology, biology, socioeconomics, and public health.
Ma is co-Editor-in-Chief of the journal Applied Computing & Geosciences, and associate editor or editorial board member for several others, including Computers & Geosciences, Data Science Journal, Earth Science Informatics, and Big Earth Data. He has been the Chair of the Semantic Technologies Committee of the Earth Science Information Partners since 2023. Previously, he served as voting councilor of IAMG and chair for its Awards Committee, Chair of the Geoinformatics and Data Science Division of the Geological Society of America, Chair of the Task Group for Coordinating Data Standards amongst Scientific Unions under CODATA, and Member of the Independent Review Board for NASA's Planetary Data Ecosystem. Ma is also active in several other data science and geoinformatics communities, including the American Geophysical Union, the Research Data Alliance, and the IUGS Commission for the Management and Application of Geoscience Information.

Representative publications

Books, book chapters & journal special issues

  • 2024:, Elsevier. Special Issue of Applied Computing & Geosciences, ISSN 2590-1974
  • 2024:, Springer. Special Issue of Earth Science Informatics, ISSN 1865-0473
  • 2023:, Springer. Special Issue of Journal of Earth Science, Volume 34, Issue 5. ISSN 1867-111X
  • 2023: "Encyclopedia of Mathematical Geosciences", Springer, Cham, Switzerland
  • 2023:, Elsevier. Special Issue of Geoscience Frontiers, ISSN 2588-9192
  • 2023:, Artificial Intelligence in Earth Science, Elsevier, Amsterdam
  • 2023:, GSA Special Paper Book V. 558, Boulder, CO, USA
  • 2018:, Handbook of Mathematical Geosciences: Fifty Years of IAMG, Springer, Berlin
  • 2015:, Springer. Special Issue of Earth Science Informatics, ISSN 1865-0473
  • 2011:, PhD Dissertation at ITC, University of Twente, Enschede, Netherlands, 184p., ISBN 978-90-6164-323-4

Journal articles & commentaries

  • 2022:, Nature, 610, 257 |
  • 2022:, Computers & Geosciences, 161, 105082
  • 2018:, Computers & Geosciences, 112, 112-120
  • 2014:, Nature Climate Change, 4, 409-413

Awards