Abstract
AbstractThe practice of participatory sensing for environment monitoring has rapidly evolved over the years. There has been a steady growth of citizen-based air quality monitoring projects that aim to build partnerships, knowledge-sharing platforms, awareness, and ultimately resilience to issues related to air quality. Whilst citizen science has reshaped air quality research by bringing a fresh perspective on democratizing science for the public good, there is little research about how citizen-generated data can be used for facilitating and improving evidence-based policymaking. To address the problem in a structured manner, we examine the existing literature related to citizen science, air quality, and policymaking to understand the existing gaps and opportunities. That is followed by a review of major grassroots and collaborative citizen science air quality monitoring initiatives in Asia, Africa, Europe, and Latin America. We explore the range of citizen science methods and applications to understand how they are creating opportunities for dialog between practitioners and policymakers, discuss the concerns about citizen-generated data, and see if the data is used for policy action. Finally, we propose a methodology for integrating data-based evidence into shaping policy. The methodology combines scientific evidence, participation, and deliberation to realize the full potential of citizen science in air quality monitoring.
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting
Reference116 articles.
1. Apte JS, Marshall JD, Cohen AJ, Brauer M (2015) Addressing global mortality from ambient PM2. 5. Environ Sci Technol 49(13):8057–8066
2. Arfire A, Marjovi A, Martinoli A (2016) Mitigating slow dynamics of low-cost chemical sensors for mobile air quality monitoring sensor networks. In: Proceedings of the international conference on embedded wireless systems and networks (CONF).
3. Aria M, Cuccurullo C (2017). bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr 11(4). https://doi.org/10.1016/j.joi.2017.08.007
4. Arias R, Capelli L, Diaz C et al. (2018) A new methodology based on citizen science to improve environmental odour management. NOSE 2018(68):7–12
5. Asia N (2021) Air pollution: Asia’s deadliest public health crisis isn’t COVID. Retrieved from https://asia.nikkei.com/Spotlight/The-Big-Story/Air-pollution-Asia-s-deadliest-public-health-crisis-isn-t-COVID
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献