As well established as the practice of intelligence analysis may be, researchers continue to ask elementary questions about what analysis is, how it is done, and how it can be done better.
“Intelligence analysis involves a complex process of assessing the reliability of information from a wide variety of sources and combining seemingly unrelated events. This problem is challenging because it involves aspects of data mining, data correlation and human judgment,” one recent study (pdf) performed for the Office of Naval Research observed.
The study focused on development of computer tools to support the analytical method known as Analysis of Competing Hypotheses (ACH), previously explored by Folker (pdf), among others.
See “Assisting People to Become Independent Learners in the Analysis of Intelligence” by Peter L. Pirolli, Palo Alto Research Center, Inc., Final Report to the Office of Naval Research, February 2006.
By advocating for the integration of technology-focused green jobs within federal initiatives, there is an opportunity to broaden the talent pool and harness the potential of emerging technologies to tackle pressing environmental issues.
“We really wanted a range of perspectives – specifically from voices that have been traditionally left out of the conversation”
The joint advocacy effort calls for the establishment of an effective AI governance framework through NIST, including technical standards, test methods, and objective evaluation techniques for the emerging technology.
Understanding the implications of climate change in agriculture and forestry is crucial for our nation to forge ahead with effective strategies and outcomes.