Table 1 Summary of key citizen-based air quality monitoring projects in Asia.
From: Translating citizen-generated air quality data into evidence for shaping policy
Project | Aim of the project | Location | Initiators | Community tasks | Approach to data | Science–policy–society interface |
---|---|---|---|---|---|---|
AirBox (Chen et al., 2017) | To crowdsource air quality data for promoting behavioral change and improving environmental governance. | Taiwan | Academia, maker groups, local government | Monitoring site selection, sensor installation, monitoring pollution episodes | Open data policy to create more democratic digital solutions. Data is validated by comparing it with data from EPA monitors. | Inspiring the local government to develop policies for creating IoT air pollution monitoring networks. Assisting in the implementation of smart city policies. |
DustBoy (Supasri and Sampattagul, 2019) | To expand the air quality monitoring network in Thailand. | Thailand | Academia, citizens, non-profit organizations, local government | Crowdsourcing data | Data streams are validated using a data model. Data is used to create early warning systems with the potential to change policies related to air quality. | Pressurizing the government to create action plans to reduce air pollution. Initiating policy discussions. |
AirBox South Korea (Lee, 2019) | To develop a crowdsourcing system that provides citizens with environmental data and enriches air quality governance. | South Korea | Local government, researchers, and citizens | Sensor installation, monitoring air pollution incidents | Validated data is used for raising awareness and creating education programs. | Complementing environmental education in schools. |
Respirer Living Sciences (Science, 2020) | To understand the use of air quality sensing solutions for policy and government use. | India | A startup company, academia, and non-profit organization | Sensor installation at pollution hotspots | Sensor data is scientifically evaluated with reference instruments. | Helping bridge the information gap. Data is used to support policy discussions. |
PakAirQuality (Shi et al., 2020) | To raise environmental awareness and promote behavioral change. | Pakistan | Citizens, non-profit organization, a startup company | Sensor installation, crowdsourcing data | Data is mainly used for raising awareness about air pollution. | Promoting environmental awareness by collaborating with city councils and NGOs. |
Safecast (Safecast, 2021) | To develop a CS-based air quality monitoring framework that fosters open processes of research co-creation and environmental action. | Japan, with limited presence in other parts of the world | Non-profit organizations, citizens, start-up company | Crowdsourcing air quality data | Portals allowing access to open data without licensing restrictions. | Advocating for data transparency and ‘pro data’ policies. Safecast data has been recognized by policymakers at multiple levels. |