I was asked to write a short piece in In-Q-Tel's journal, IQT Quarterly. The article attempts to address how the U.S. intelligence community can begin incorporating "data science" into intelligence cycle, and some of the consequences. The issue was just published, and my article is entitled (appropriately), "Data Science in the U.S. Intelligence Community."
Readers of this blog will note several themes, ideas, and even graphics in the article that I have mentioned in previous posts. But, I was very pleased by the sentence the editors decided to draw out in the print version.
Understanding how modeling assumptions impact the interpretations of analytical results is critical to data science, and this is particularly true in the IC.
I welcome you thoughts, especially if you are a practicing intelligence professional.