Translating citizen-generated air quality data into evidence for shaping policy

Sachit Mahajan*, Ming Kuang Chung, Jenny Martinez, Yris Olaya, Dirk Helbing, Ling Jyh Chen

*此作品的通信作者

研究成果: 雜誌貢獻回顧評介論文同行評審

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摘要

The 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.

原文英語
文章編號122
期刊Humanities and Social Sciences Communications
9
發行號1
出版狀態已發佈 - 2022 12月

ASJC Scopus subject areas

  • 商業、管理和會計 (全部)
  • 藝術與人文 (全部)
  • 社會科學 (全部)
  • 心理學(全部)
  • 經濟學、計量經濟學和金融學 (全部)

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