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

Fingerprint

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.
@article{a3622db3ac0d4cd2b4f7a851542d6187,
title = "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",
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.",
author = "Jennifer Stromer-Galley and Rossini, {Patricia G.C.} and Kate Kenski and James Folkestad and Brian McKernan and Martey, {Rosa Mikeal} and Benjamin Clegg and Carsten Oesterlund and Lael Schooler",
year = "2018",
month = "1",
day = "1",
doi = "10.1109/MCSE.2018.2873859",
language = "English (US)",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community

T2 - The Trackable Reasoning and Analysis for Crowdsourcing and Evaluation (TRACE) Project

AU - Stromer-Galley, Jennifer

AU - Rossini, Patricia G.C.

AU - Kenski, Kate

AU - Folkestad, James

AU - McKernan, Brian

AU - Martey, Rosa Mikeal

AU - Clegg, Benjamin

AU - Oesterlund, Carsten

AU - Schooler, Lael

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85056339185&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056339185&partnerID=8YFLogxK

U2 - 10.1109/MCSE.2018.2873859

DO - 10.1109/MCSE.2018.2873859

M3 - Article

AN - SCOPUS:85056339185

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

SN - 1521-9615

ER -

Access to Document