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

Matthew Schmidt, Kathleen M. Vogel

Research output: Contribution to conferencePaperpeer-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 languageEnglish (US)
DOIs
StatePublished - 2020
Event2020 IEEE International Symposium on Technology and Society, ISTAS 2020 - Virtual, Tempe, United States
Duration: Nov 12 2020Nov 15 2020

Conference

Conference2020 IEEE International Symposium on Technology and Society, ISTAS 2020
Country/TerritoryUnited States
CityVirtual, Tempe
Period11/12/2011/15/20

Keywords

  • intelligence analysis
  • platforms
  • socio-technical systems

ASJC Scopus subject areas

  • Engineering(all)
  • Social Sciences(all)

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