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Improving analytic reasoning via crowdsourcing and structured analytic techniques

Title: Improving analytic reasoning via crowdsourcing and structured analytic techniques
Authors: Van Gelder, T
Kruger, A
Thomman, S
De Rozario, R
Silver, E
Saletta, M
Barnett, A
Sinnott, R
Jayaputera, G
Burgman, M
Item Type: Journal Article
Abstract: How might analytic reasoning in intelligence reports be substantially improved? One conjecture is that this can be achieved through a combination of crowdsourcing and structured analytic techniques (SATs). To explore this conjecture, we developed a new crowdsourcing platform supporting groups in collaborative reasoning and intelligence report drafting using a novel SAT we call “Contending Analyses.” In this paper we present findings from a large study designed to assess whether groups of professional analysts working on the platform produce better-reasoned reports than those analysts produce when using methods and tools normally used in their organizations. Secondary questions were whether professional analysts working on the platform produce better reasoning than the general public working on the platform; and how usable the platform is. Our main finding is a large effect size (Cohen’s d = 1.37) in favor of working on platform. This provides early support for the general conjecture. We discuss limitations of our study, implications for intelligence organizations, and future directions for the work as a whole.
Issue Date: 1-Sep-2020
Date of Acceptance: 15-Apr-2020
URI: http://hdl.handle.net/10044/1/79489
DOI: 10.1177/1555343420926287
ISSN: 1555-3434
Publisher: SAGE Publications
Start Page: 195
End Page: 217
Journal / Book Title: Journal of Cognitive Engineering and Decision Making
Volume: 14
Issue: 3
Copyright Statement: © 2020, Human Factors and Ergonomics Society. The final, definitive version of this paper has been published in Journal of Cognitive Engineering and Decision Making. 2020;14(3):195-217 by Sage Publications Ltd. All rights reserved. It is available at: https://doi.org/10.1177/1555343420926287
Sponsor/Funder: Office of the Director of National Intelligence (US Agency)
Funder's Grant Number: TBC
Keywords: 1701 Psychology
1702 Cognitive Sciences
Publication Status: Published
Online Publication Date: 2020-08-17
Appears in Collections:Centre for Environmental Policy
Faculty of Natural Sciences