User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project

Jennifer Stromer-Galley; Patricia G.C. Rossini; Kate Kenski; James Folkestad; Brian McKernan; Rosa Mikeal Martey; Benjamin Clegg; Carsten Osterlund; Lael Schooler

doi:10.1109/MCSE.2018.2873859

User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project

Jennifer Stromer-Galley, Patricia G.C. Rossini, Kate Kenski, James Folkestad, Brian McKernan, Rosa Mikeal Martey, Benjamin Clegg, Carsten Osterlund, Lael Schooler

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Improving reasoning in intelligence analysis is of vital national importance. The trackable reasoning and analysis for crowdsourcing and evaluation project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-quality reasoning. Results suggest a light structure is more effective than a rigid structure.

Original language	English (US)
Article number	8532281
Pages (from-to)	35-42
Number of pages	8
Journal	Computing in Science and Engineering
Volume	20
Issue number	6
DOIs	https://doi.org/10.1109/MCSE.2018.2873859
State	Published - Nov 1 2018

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1109/MCSE.2018.2873859

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Stromer-Galley, J., Rossini, P. G. C., Kenski, K., Folkestad, J., McKernan, B., Martey, R. M., Clegg, B., Osterlund, C., & Schooler, L. (2018). User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project. Computing in Science and Engineering, 20(6), 35-42. Article 8532281. https://doi.org/10.1109/MCSE.2018.2873859

User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project. / Stromer-Galley, Jennifer; Rossini, Patricia G.C.; Kenski, Kate et al.
In: Computing in Science and Engineering, Vol. 20, No. 6, 8532281, 01.11.2018, p. 35-42.

Research output: Contribution to journal › Article › peer-review

Stromer-Galley, J, Rossini, PGC, Kenski, K, Folkestad, J, McKernan, B, Martey, RM, Clegg, B, Osterlund, C & Schooler, L 2018, 'User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project', Computing in Science and Engineering, vol. 20, no. 6, 8532281, pp. 35-42. https://doi.org/10.1109/MCSE.2018.2873859

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User-centered design and experimentation to develop effective software for evidence-based reasoning in the intelligence community: The TRACE project

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