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Artificial Intelligence and Environmental Sustainability pp 1–22Cite as

AI and Environmental Health: A Platform Ecosystem Perspective

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Part of the Algorithms for Intelligent Systems book series (AIS)

Abstract

Air pollution is a severe problem today and is a global threat impacting the health of populations and the environment severely. Many health impacts are associated with pollution, including premature deaths as a result of exposure to high levels of pollutants. Governments employ methods to measure levels of pollutants and implement prevention strategies to reduce their deleterious impact on populations. Traditional methods of air pollution measurements lack the capabilities of identifying the sources, the spread of pollution and their spatio-temporal nature, in addition to being expensive. Hence, the use of technologies such as Internet of Things (IoTs), Artificial Intelligence (AI) and Big Data Analytics are now on the rise that can monitor air pollution in real time. These technologies prove to be a solution that can help right now providing a comprehensive picture of the levels of air quality in near real time aiding faster decision-making and resulting in mitigation actions. The exponential digital transformations in every sector have led to platform technologies and in this chapter, we explore the network approaches platform ecosystems to adopt as opposed to a linear approach to tackling pollution. A multi-level socio-technical system of platform ecosystems and the technologies to mitigate pollution is discussed.

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Source Defra

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Source EEA [7]

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Author information

Authors and Affiliations

  1. Aston University, Birmingham, UK

    Anitha Chinnaswamy

  2. Coventry University, Coventry, UK

    Nigel Walton

Authors
  1. Anitha Chinnaswamy
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  2. Nigel Walton
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Corresponding author

Correspondence to Anitha Chinnaswamy .

Editor information

Editors and Affiliations

  1. Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis, Jejawi, Perlis, Malaysia

    Dr. Hui Lin Ong

  2. Institute of Analytical and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan

    Prof. Ruey-an Doong

  3. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, England, UK

    Prof. Raouf Naguib

  4. Institute for Intelligent Systems Research and Innovation, Deakin University, Melbourne, VIC, Australia

    Prof. Chee Peng Lim

  5. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, England, UK

    Prof. Atulya K. Nagar

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Chinnaswamy, A., Walton, N. (2022). AI and Environmental Health: A Platform Ecosystem Perspective. In: Ong, H.L., Doong, Ra., Naguib, R., Lim, C.P., Nagar, A.K. (eds) Artificial Intelligence and Environmental Sustainability. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1434-8_1

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