TY - CONF
T1 - Algorithms that Empower? Platformization in U.S. Intelligence Analysis
AU - Schmidt, Matthew
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
Y1 - 2020
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.
KW - intelligence analysis
KW - platforms
KW - socio-technical systems
UR - http://www.scopus.com/inward/record.url?scp=85117142390&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117142390&partnerID=8YFLogxK
U2 - 10.1109/ISTAS50296.2020.9555838
DO - 10.1109/ISTAS50296.2020.9555838
M3 - Paper
AN - SCOPUS:85117142390
T2 - 2020 IEEE International Symposium on Technology and Society, ISTAS 2020
Y2 - 12 November 2020 through 15 November 2020
ER -