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Critical Thinking and Intelligence Analysis

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partnerships between analysts <strong>and</strong> technology applications. 225<br />

In one<br />

case, a research firm has developed technology that enables analysts<br />

to generate <strong>and</strong> validate novel hypotheses, distill complex systems into<br />

digestible elements, create effective narratives, <strong>and</strong> inspire creative<br />

thinking. 226<br />

Other examples are illustrated in the adjacent text box.<br />

Follow-on research efforts such as the Collaboration <strong>and</strong> Analyst/<br />

System Effectiveness (CASE) effort will develop these efforts further. 227<br />

The intelligence workforce these ARDA-supported efforts presuppose<br />

is being hired <strong>and</strong> trained now.<br />

The future also holds opportunities for further developing<br />

models of reasoning in intelligence. Exactly how analogy <strong>and</strong><br />

critical thinking interact, the roles of creative thinking, the roles<br />

of intuition, <strong>and</strong> specific strategies for bias mitigation are all areas<br />

warranting further research. Formal validation of how critical<br />

thinking improves intelligence reasoning is another research topic.<br />

Rieber <strong>and</strong> Thomason’s proposed National Institute of Analytic<br />

Methods is an obvious venue for such research. Additionally, the<br />

ARDA advanced questioning <strong>and</strong> answering research program,<br />

AQUAINT, as well as other ARDA programs dealing with predictive<br />

analysis, prior <strong>and</strong> tacit knowledge, <strong>and</strong> hypothesis generation offer<br />

other domains in which such research could occur. 228<br />

Such research<br />

is of both intrinsic value <strong>and</strong> necessary for developing new means<br />

225 The five areas on which the NIMD effort focused were modeling analysts<br />

<strong>and</strong> how they work; analysts’ prior <strong>and</strong> tacit knowledge; creating, representing,<br />

<strong>and</strong> tracking multiple scenarios, hypotheses, <strong>and</strong>/or strategies; massive data<br />

management <strong>and</strong> analysis; <strong>and</strong> the means by which analysts interact with<br />

technology. The author represented his agency in evaluating <strong>and</strong> mentoring the<br />

efforts of the researchers.<br />

226 The author is a technical mentor of this firm’s work.<br />

227 For more information, see “Collaboration <strong>and</strong> Analyst/System<br />

Effectiveness (CASE),” AFRL Directorate: IFED BAA 06–02–IFKA, 28 October<br />

2005, URL: , last accessed 11 March<br />

2006.<br />

228 Advanced Research <strong>and</strong> Development Activity (ARDA), “Preliminary<br />

Solicitation Information for Advanced QUestion & Answering for INTelligence<br />

(AQUAINT),” URL: , last accessed 26 March 2006.<br />

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