Improving intelligence analysis and education in the US with stronger foundations in statistical literacy

2024/11/28 by Misty C. Duke, Diana Bolsinger, Michael Landon-Murray · 1 voice
Computer Science · Mathematics · #Data Analysis with R #Statistics Education and Methodologies

paper · doi:10.1080/02684527.2024.2432771

openalex publication_date 2024/11/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/15

Abstract

This article argues that coursework in statistical literacy can improve the practice of intelligence analysis in the US. The article describes the gaps in current intelligence education pertaining to statistically literacy, explains how statistical literacy relates to the tasks of intelligence analysis, and offers a series of recommendations for statistical literacy courses specifically designed for future intelligence practitioners. The incorporation of statistical literacy in intelligence studies programs will advance and strengthen the contribution such programs can make to the intelligence workforce, both in the public and private sectors.

Citations

• A perspective on judgment and choice: Mapping bounded rationality.
• The Anchoring-and-Adjustment Heuristic
• Numeracy and Decision Making
• The integration of statistical learning in intelligence education: is the academy equipping tomorrow’s intelligence professionals to analyze data-centric threats?
• Judgment under Uncertainty: Heuristics and Biases
• Assumptions in intelligence analysis

Discussions

• New addition Journal article: Improving intelligence analysis and education in the US with stronger foundations in statistical literacy by Misty C. Duke, Diana Bolsinger, Michael Landon-Murray (publi [bsky, 0 points, 0 comments]