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Article

AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality

1
Computational Social Science (COSS), ETH Zürich, 8092 Zürich, Switzerland
2
Citizen Sense, Department of Sociology, University of Cambridge, 16 Mill Lane, Cambridge CB2 1SB, UK
3
School of Media and Communication, University of Leeds, Woodhouse, Leeds LS2 9JT, UK
*
Author to whom correspondence should be addressed.
Formerly Citizen Sense, University of Cambridge, 16 Mill Lane, Cambridge CB2 1SB, UK.
Academic Editors: Philip J. Basford, Florentin Bulot and Simon J. Cox
Sensors 2021, 21(12), 4044; https://doi.org/10.3390/s21124044
Received: 11 May 2021 / Revised: 6 June 2021 / Accepted: 8 June 2021 / Published: 11 June 2021
(This article belongs to the Special Issue Air Quality Internet of Things Devices)
Increasing urbanisation and a better understanding of the negative health effects of air pollution have accelerated the use of Internet of Things (IoT)-based air quality sensors. Low-cost and low-power sensors are now readily available and commonly deployed by individuals and community groups. However, there are a wide range of such IoT devices in circulation that differently focus on problems of sensor validation, data reliability, or accessibility. In this paper, we present AirKit, which was developed as an integrated and open source “social IoT technology”. AirKit enables a comprehensive approach to citizen-sensing air quality through several integrated components: (1) the Dustbox 2.0, a particulate matter sensor; (2) Airsift, a data analysis platform; (3) a reliable and automatic remote firmware update system; (4) a “Data Stories” method and tool for communicating citizen data; and (5) an AirKit logbook that provides a guide for designing and running air quality projects, along with instructions for building and using AirKit components. Developed as a social technology toolkit to foster open processes of research co-creation and environmental action, Airkit has the potential to generate expanded engagements with IoT and air quality by improving the accuracy, legibility and use of sensors, data analysis and data communication. View Full-Text
Keywords: low-cost sensors and devices; sensor design; crowd sensing and crowd sourcing; social networks; smart cities; social impacts; air pollution low-cost sensors and devices; sensor design; crowd sensing and crowd sourcing; social networks; smart cities; social impacts; air pollution
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MDPI and ACS Style

Mahajan, S.; Gabrys, J.; Armitage, J. AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality. Sensors 2021, 21, 4044. https://doi.org/10.3390/s21124044

AMA Style

Mahajan S, Gabrys J, Armitage J. AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality. Sensors. 2021; 21(12):4044. https://doi.org/10.3390/s21124044

Chicago/Turabian Style

Mahajan, Sachit, Jennifer Gabrys, and Joanne Armitage. 2021. "AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality" Sensors 21, no. 12: 4044. https://doi.org/10.3390/s21124044

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