New NRC Report: Future U.S. Workforce for Geospatial Intelligence
Mapping Sciences Committee, National Research Council Preview Report Release, Jan 2013
Committee on the Future U.S. Workforce for Geospatial Intelligence; Board on Earth Sciences and Resources; Board on Higher Education and Workforce; Division on Earth and Life Studies; National Research Council
Abstract: We live in a changing world with multiple and evolving threats to national security, including terrorism, asymmetrical warfare (conflicts between agents with different military powers or tactics), and social unrest. Visually depicting and assessing these threats using imagery and other geographically-referenced information is the mission of the National Geospatial-Intelligence Agency (NGA). As the nature of the threat evolves, so do the tools, knowledge, and skills needed to respond. The challenge for NGA is to maintain a workforce that can deal with evolving threats to national security, ongoing scientific and technological advances, and changing skills and expectations of workers.
Future U.S. Workforce for Geospatial Intelligence assesses the supply of expertise in 10 geospatial intelligence (GEOINT) fields, including 5 traditional areas (geodesy and geophysics, photogrammetry, remote sensing, cartographic science, and geographic information systems and geospatial analysis) and 5 emerging areas that could improve geospatial intelligence (GEOINT fusion, crowdsourcing, human geography, visual analytics, and forecasting). The report also identifies gaps in expertise relative to NGA’s needs and suggests ways to ensure an adequate supply of geospatial intelligence expertise over the next 20 years.
To download a PDF copy of the report, visit Future U.S. Workforce for Geospatial Intelligence.
- National Science Foundation Research Experiences for Undergraduates – Geospatial Research and Mapping (GRAM) – Application Deadline March 1st 2013 (gisandscience.com)
- GAO Says OMB and Feds Need to Make Coordination a Priority (geodatapolicy.wordpress.com)
- Possibility and Probability in Geospatial Information Visualization (dhs.stanford.edu)