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.
This report serves as a landscape assessment and toolbox from which local governments can negotiate an informed position when it comes to the levers available to them and includes a first-of-its kind analysis of eight executed community benefits agreements.
When a hurricane hits, it’s all hands on deck – that goes for federal data, too. Pulling back from our investments in timely, accurate, and accessible public data will only make us less prepared and put us all at greater risk.
This is bigger than a singular elimination of race and ethnicity questions. It could accelerate the second wave of widespread reductions to demographic data, leaving public health officials with even less information to deliver better health outcomes for all Americans.
Soft law was never meant to be a permanent solution. Treating it as one, and letting the sandcastle stand in for the skyscraper indefinitely, is how we end up with a decade of voluntary commitments and no enforceable accountability to show for it.