What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...
Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...
UNG is launching its master's degree in spatial data and information sciences this fall, aiming to help students become leaders in integrative data analysis. Spatial data scientists analyze the ...
Students, young professionals, and industry leaders invited to explore emerging GIS trends and network with innovators ...
Nature Research Intelligence Topics Topic summaries Information and Computing Sciences Applied Computing Spatial Data and Applications Spatial data now underpin a wide array of critical applications ...
The Geographical and Geospatial Sciences Committee (GGSC) provides a forum for innovative scientific, technical, and policy discussions on geographical theory and knowledge, geospatial data, mapping ...
This Collection invites submissions on the latest research in geospatial data for the purpose of measuring and building community resilience. We will consider original studies presenting ...
Genevieve Carlton holds a Ph.D. in history from Northwestern University and earned tenure at the University of Louisville. Drawing on over 15 years of experience in higher education, Genevieve ...
Housed at the Geography Department’s research ecosystem is the Geospatial Human-Centered Artificial Intelligence (GeoHAI) Lab, where innovation in spatial data science meets urgent societal needs.
The University of Tennessee at Chattanooga has announced the creation of the Center for Applied Geospatial Data Science (CAGDS), an interdisciplinary research hub housed within the Office of the Vice ...
Gonzalo Arce College of Engineering — Electrical and Computer Engineering [email protected] Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...
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