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Open Access

Measuring Cities with Software-Defined Sensors

University of Illinois Discovery Partners Institute, Chicago, IL 60606, USA.
Northwestern University, Evanston, IL 60208, USA.
University of Chicago, Chicago, IL 60637, USA.
Northern Illinois University, DeKalb, IL 60115, USA.
Argonne National Laboratory
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Abstract

The Chicago Array of Things (AoT) project, funded by the US National Science Foundation, created an experimental, urban-scale measurement capability to support diverse scientific studies. Initially conceived as a traditional sensor network, collaborations with many science communities guided the project to design a system that is remotely programmable to implement Artificial Intelligence (AI) within the devices—at the "edge" of the network—as a means for measuring urban factors that heretofore had only been possible with human observers, such as human behavior including social interaction. The concept of "software-defined sensors" emerged from these design discussions, opening new possibilities, such as stronger privacy protections and autonomous, adaptive measurements triggered by events or conditions. We provide examples of current and planned social and behavioral science investigations uniquely enabled by software-defined sensors as part of the SAGE project, an expanded follow-on effort that includes AoT.

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Journal of Social Computing
Pages 14-27
Cite this article:
Catlett C, Beckman P, Ferrier N, et al. Measuring Cities with Software-Defined Sensors. Journal of Social Computing, 2020, 1(1): 14-27. https://doi.org/10.23919/JSC.2020.0003

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Received: 06 September 2020
Accepted: 06 October 2020
Published: 28 October 2020
© The author(s) 2020

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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