Structured Analytic Techniques for Intelligence Analysis - Richards J. Heuer
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Présentation Structured Analytic Techniques For Intelligence Analysis de Richards J. Heuer Format Broché
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Résumé :
Biographie:
Richards J. Heuer Jr. is best known for his book Psychology of Intelligence Analysis and for developing and then guiding automation of the Analysis of Competing Hypotheses (ACH) technique. Both are being used to teach and train intelligence analysts throughout the Intelligence Community and in a growing number of academic programs on intelligence or national security. Long retired from the Central Intelligence Agency (CIA), Mr. Heuer has nevertheless been associated with the Intelligence Community in various roles for more than five decades and has written extensively on personnel security, counterintelligence, deception, and intelligence analysis. He has a B.A. in philosophy from Williams College and an M.A. in international relations from the University of Southern California, and has pursued other graduate studies at the University of California at Berkeley and the University of Michigan.
Sommaire:
Chapter 1: Introduction and Overview
1.1 Our Vision
1.2 Two Types of Thinking
1.3 Dealing with Bias
1.4 The Role of Structured Analytic Techniques
1.5 The Value of Team Analysis
1.6 The History of Structured Analytic Techniques
1.7 Selection of Techniques for This Book
1.8 Quick Summary of Chapters
Chapter 2: Building a System 2 Taxonomy
2.1 Taxonomy of System 2 Methods
2.2 Taxonomy of Structured Analytic Techniques
Chapter 3: Choosing the Right Technique
3.1 Core Techniques
3.2 Five Habits Every Analyst Should Master
3.3 One Project, Multiple Techniques
3.4 Common Errors in Selecting Techniques
3.5 Structured Technique Selection Guide
Chapter 4: Decomposition and Visualization
4.1 Getting Started Checklist
4.2 AIMS (Audience, Issue, Message, Storyline)
4.3 Customer Checklist
4.4 Issue Redefinition
4.5 Chronologies and Timelines
4.6 Sorting
4.7 Ranking, Scoring, Prioritizing
4.8 Matrices
4.9 Venn Analysis
4.10 Network Analysis
4.11 Mind Maps and Concept Maps
4.12 Process Maps and Gantt Charts
Chapter 5: Idea Generation
5.1 Structured Brainstorming
5.2 Virtual Brainstorming
5.3 Nominal Group Technique
5.4 Starbursting
5.5 Cross-Impact Matrix
5.6 Morphological Analysis
5.7 Quadrant Crunching(TM)
Chapter 6: Scenarios and Indicators
6.1 Scenarios Analysis
6.2 Indicators
6.3 Indicators Validation
Chapter 7: Hypothesis Generation and Testing
7.1 Hypothesis Generation
7.2 Diagnostic Reasoning
7.3 Analysis of Competing Hypotheses
7.4 Argument Mapping
7.5 Deception Detection
Chapter 8: Assessment of Cause and Effect
8.1 Key Assumptions Check
8.2 Structured Analogies
8.3 Role Playing
8.4 Red Hat Analysis
8.5 Outside-In Thinking
Chapter 9: Challenge Analysis
9.1 Premortem Analysis
9.2 Structured Self-Critique
9.3 What If? Analysis
9.4 High Impact/Low Probability Analysis
9.5 Devil's Advocacy
9.6 Red Team Analysis
9.7 Delphi Method
Chapter 10: Conflict Management
10.1 Adversarial Collaboration
10.2 Structured Debate
Chapter 11: Decision Support
11.1 Decision Trees
11.2 Decision Matrix
11.3 Pros-Cons-Faults-and-Fixes
11.4 Force Field Analysis
11.5 SWOT Analysis
11.6 Impact Matrix
11.7 Complexity Manager
Chapter 12: Practitioner's Guide to Collaboration
12.1 Social Networks and Analytic Teams
12.2 Dividing the Work
12.3 Common Pitfalls with Small Groups
12.4 Benefiting from Diversity
12.5 Advocacy vs. Objective Inquiry
12.6 Leadership and Training
Chapter 13: Validation of Structured Analytic Techniques
13.1 Limits of Empirical Analysis
13.2 Establishing Face Validity
13.3 A Program for Empirical Validation
13.4 Recommended Research Program
Chapter 14: The Future of Structured Analytic Techniques
14.1 Structuring the Data
14.2 Key Drivers
14.3 Imagining the Future: 2020
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