User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community

The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project

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

Research output: Contribution to journal › Article

Abstract

Improving reasoning in intelligence analysis is of vital national importance. The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-quality reasoning. Results suggest light structure is more effective than a rigid structure.

Original languageEnglish (US)
JournalComputing in Science and Engineering
DOIs
StateAccepted/In press - Jan 1 2018

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Rigid structures
User centered design

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community : The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project. / Stromer-Galley, Jennifer; Rossini, Patricia G.C.; Kenski, Kate; Folkestad, James; McKernan, Brian; Martey, Rosa Mikeal; Clegg, Benjamin; Oesterlund, Carsten; Schooler, Lael.

In: Computing in Science and Engineering, 01.01.2018.

Research output: Contribution to journal › Article

Stromer-Galley, J, Rossini, PGC, Kenski, K, Folkestad, J, McKernan, B, Martey, RM, Clegg, B, Oesterlund, C & Schooler, L 2018, 'User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community: The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project', Computing in Science and Engineering. https://doi.org/10.1109/MCSE.2018.2873859
Stromer-Galley J, Rossini PGC, Kenski K, Folkestad J, McKernan B, Martey RM et al. User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community: The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project. Computing in Science and Engineering. 2018 Jan 1. https://doi.org/10.1109/MCSE.2018.2873859
Stromer-Galley, Jennifer ; Rossini, Patricia G.C. ; Kenski, Kate ; Folkestad, James ; McKernan, Brian ; Martey, Rosa Mikeal ; Clegg, Benjamin ; Oesterlund, Carsten ; Schooler, Lael. / User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community : The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project. In: Computing in Science and Engineering. 2018.
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