Algorithms that Empower? Platformization in U.S. Intelligence Analysis

Matthew Schmidt; Kathleen M. Vogel

doi:10.1109/ISTAS50296.2020.9555838

Algorithms that Empower? Platformization in U.S. Intelligence Analysis

Matthew Schmidt, Kathleen M. Vogel

Future of Innovation in Society, School for the (SFIS)

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper discusses a computational architecture called the Analytic Component System (ACS), which aims to provide intelligence analysts with a service-oriented computational platform. This platform is designed to empower intelligence analysts by improving the integration of people, algorithms, software, tools, and manual work in the production of time-pressured intelligence assessments. Combining the perspectives of the ACS computer science design team and an embedded social scientist, this paper will use ACS to discuss the 'platformization' of intelligence analysis and what this means for how we might think about and plan for reflexive design in future computational intelligence analytic systems.

Original language	English (US)
DOIs	https://doi.org/10.1109/ISTAS50296.2020.9555838
State	Published - 2020
Event	2020 IEEE International Symposium on Technology and Society, ISTAS 2020 - Virtual, Tempe, United States Duration: Nov 12 2020 → Nov 15 2020

Conference

Conference	2020 IEEE International Symposium on Technology and Society, ISTAS 2020
Country/Territory	United States
City	Virtual, Tempe
Period	11/12/20 → 11/15/20

Keywords

intelligence analysis
platforms
socio-technical systems

ASJC Scopus subject areas

General Engineering
General Social Sciences

Access to Document

10.1109/ISTAS50296.2020.9555838

Cite this

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title = "Algorithms that Empower? Platformization in U.S. Intelligence Analysis",

abstract = "This paper discusses a computational architecture called the Analytic Component System (ACS), which aims to provide intelligence analysts with a service-oriented computational platform. This platform is designed to empower intelligence analysts by improving the integration of people, algorithms, software, tools, and manual work in the production of time-pressured intelligence assessments. Combining the perspectives of the ACS computer science design team and an embedded social scientist, this paper will use ACS to discuss the 'platformization' of intelligence analysis and what this means for how we might think about and plan for reflexive design in future computational intelligence analytic systems. ",

keywords = "intelligence analysis, platforms, socio-technical systems",

author = "Matthew Schmidt and Vogel, {Kathleen M.}",

note = "Funding Information: ACKNOWLEDGMENT This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Technology and Society, ISTAS 2020 ; Conference date: 12-11-2020 Through 15-11-2020",

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AU - Vogel, Kathleen M.

N1 - Funding Information: ACKNOWLEDGMENT This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government. Publisher Copyright: © 2020 IEEE.

PY - 2020

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N2 - This paper discusses a computational architecture called the Analytic Component System (ACS), which aims to provide intelligence analysts with a service-oriented computational platform. This platform is designed to empower intelligence analysts by improving the integration of people, algorithms, software, tools, and manual work in the production of time-pressured intelligence assessments. Combining the perspectives of the ACS computer science design team and an embedded social scientist, this paper will use ACS to discuss the 'platformization' of intelligence analysis and what this means for how we might think about and plan for reflexive design in future computational intelligence analytic systems.

AB - This paper discusses a computational architecture called the Analytic Component System (ACS), which aims to provide intelligence analysts with a service-oriented computational platform. This platform is designed to empower intelligence analysts by improving the integration of people, algorithms, software, tools, and manual work in the production of time-pressured intelligence assessments. Combining the perspectives of the ACS computer science design team and an embedded social scientist, this paper will use ACS to discuss the 'platformization' of intelligence analysis and what this means for how we might think about and plan for reflexive design in future computational intelligence analytic systems.

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KW - platforms

KW - socio-technical systems

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T2 - 2020 IEEE International Symposium on Technology and Society, ISTAS 2020

Y2 - 12 November 2020 through 15 November 2020

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Algorithms that Empower? Platformization in U.S. Intelligence Analysis

Abstract

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Keywords

ASJC Scopus subject areas

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