Data Science Group
The Data Science Group's mission is to design, develop, and deploy cutting-edge computer resources for Geosciences research and education.
Some of these resources are meant to support AZGS and other scientists in their research by providing reliable workflows for managing their data. Other products are designed for consumers of geosciences data such as educators, students, businesses, policymakers, or the public at large.
Research Areas
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We curate and preserve Arizona’s geoscience data, including geological maps, borehole records, mineral and energy data, geophysical datasets, and physical rock and core samples, to ensure long-term public access and scientific usability. We develop standardized digital databases, online repositories, and metadata systems that support research, natural resource management, hazard assessment, land-use planning, and informed decision-making across Arizona.
We apply geographic information science to integrate, analyze, and visualize Arizona’s geologic, hydrologic, and environmental data through mapping, spatial databases, and web-based applications. Our GIS work supports geologic hazard assessment, natural resource management, scientific research, and public access to statewide geospatial information, including information found in several interactive webmaps.
We develop and maintain software tools, databases, and web applications that support the collection, management, analysis, and delivery of Arizona geoscience data. Our software engineering work improves data accessibility, streamlines scientific workflows, and enables researchers, decision-makers, and the public to interact with complex geologic and environmental information.
We manage the production, review, publication, and long-term preservation of geoscience reports, maps, and educational materials produced by the Arizona Geological Survey. Our publications management work ensures scientific quality, consistent formatting, discoverability, and public access to authoritative geologic information for researchers, agencies, industry, and communities across Arizona.
Conceptual diagram of the CCUS process showing CO2 injection in a deep saline aquifer. Image generated using ChatGPT.
We explore the use of artificial intelligence to enhance the organization, analysis, interpretation, and accessibility of geoscience data and publications. Our AI-related work may support tasks such as automated data extraction, geospatial analysis, document processing, predictive modeling, and improved public access to Arizona geologic information.