Analytical Methods and GeoAI in Geospatial Intelligence

Catalog description

GEOG 885 explores the challenges and opportunities created by combining human expertise with structured and automated analytical methods in the field of geospatial intelligence (GEOINT). The course focuses on the science and technology of human-machine collaboration using geospatial artificial intelligence (GeoAI) in GEOINT and the professional and ethical concerns that must be considered in this rapidly evolving field. Students will be able to explain and apply structured analytic techniques (SATs), automation methods, and GeoAI tools to solve problems. Students will create analysis workflows that ensure the efficiency, credibility, and accuracy of analytical insights. SATs will be evaluated by students to gauge their ability to improve the quality and rigor of analysis. Students will also learn how to apply emerging GeoAI tools to summarize data and perform analytical tasks that have typically required human intelligence. This work is situated in decision-making across a broad range of industries, from defense and intelligence to environmental monitoring and urban planning. The amount of geospatial data available today is overwhelming, but by leveraging the strengths of both computers and people, analysts can gain insights from high-dimensional spatial data and effectively solve geographic problems.