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Deploying artificial intelligence for climate change adaptation

Author

Listed:
  • Leal Filho, Walter
  • Wall, Tony
  • Rui Mucova, Serafino Afonso
  • Nagy, Gustavo J.
  • Balogun, Abdul-Lateef
  • Luetz, Johannes M.
  • Ng, Artie W.
  • Kovaleva, Marina
  • Safiul Azam, Fardous Mohammad
  • Alves, Fátima
  • Guevara, Zeus
  • Matandirotya, Newton R
  • Skouloudis, Antonis
  • Tzachor, Asaf
  • Malakar, Krishna
  • Gandhi, Odhiambo

Abstract

Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate change. This paper explores the connections between AI and climate change research as a whole and its usefulness in climate change adaptation efforts in particular. Using a systematic review of the literature on applications of AI for climate change adaptation and a questionnaire survey of a multinational and interdisciplinary team of climate change researchers, this paper shows the various means via which AI can support research on climate change in diverse regions, and contribute to efforts towards climate change adaptation. The surveyed articles are classified under nine areas, e.g., Global/Earth Related; Water-related Issues and agriculture, 95% of which are related to adaptation. The areas that have attracted the most studies about AI applications are water-related management issues (38%). In terms of the survey results, the most robust agreements were noted concerning the capacity of digitisation and AI to strengthen governance practices and afford policy coherence in climate change. Evidence gathered in the study suggests that, provided that due care is taken, the use of AI can provide a welcome support to global efforts to better understand and handle the many challenges associated with a changing climate.

Suggested Citation

  • Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522001949
    DOI: 10.1016/j.techfore.2022.121662
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    References listed on IDEAS

    as
    1. Cariolle, Joël, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 55(C).
    2. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    3. Alexiei Dingli & Daniel Attard & Ruben Mamo, 2012. "Turning Homes into Low-Cost Ambient Assisted Living Environments," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 4(2), pages 1-23, April.
    4. Tsun-Hua Yang & Wen-Cheng Liu, 2020. "A General Overview of the Risk-Reduction Strategies for Floods and Droughts," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    5. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    6. Dwivedi, Yogesh K. & Hughes, Laurie & Kar, Arpan Kumar & Baabdullah, Abdullah M. & Grover, Purva & Abbas, Roba & Andreini, Daniela & Abumoghli, Iyad & Barlette, Yves & Bunker, Deborah & Chandra Kruse,, 2022. "Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action," International Journal of Information Management, Elsevier, vol. 63(C).
    7. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    8. S.P. Leo Kumar, 2019. "Knowledge-based expert system in manufacturing planning: state-of-the-art review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4766-4790, August.
    9. Mahtab Kouhizadeh & Joseph Sarkis, 2018. "Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    10. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    11. Fernando Reinaldo Ribeiro & Rui José, 2013. "Smart Content Selection for Public Displays in Ambient Intelligence Environments," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 5(2), pages 35-55, April.
    12. Roberta Kwok, 2019. "AI empowers conservation biology," Nature, Nature, vol. 567(7746), pages 133-134, March.
    13. Ward Passchyn & Frits C. R. Spieksma, 2019. "Scheduling parallel batching machines in a sequence," Journal of Scheduling, Springer, vol. 22(3), pages 335-357, June.
    14. Henry Chan & Mathew J. Cherukara & Badri Narayanan & Troy D. Loeffler & Chris Benmore & Stephen K. Gray & Subramanian K. R. S. Sankaranarayanan, 2019. "Machine learning coarse grained models for water," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    15. Ana Cristina Mosebo Fernandes & Rebeca Quintero Gonzalez & Marie Ann Lenihan-Clarke & Ezra Francis Leslie Trotter & Jamal Jokar Arsanjani, 2020. "Machine Learning for Conservation Planning in a Changing Climate," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
    16. Jonathan E Butner & Ascher K Munion & Brian R W Baucom & Alexander Wong, 2019. "Ghost hunting in the nonlinear dynamic machine," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-21, December.
    17. Van Rensburg, Nickey Janse & Telukdarie, Arnesh & Dhamija, Pavitra, 2019. "Society 4.0 applied in Africa: Advancing the social impact of technology," Technology in Society, Elsevier, vol. 59(C).
    18. Jaehyung An & Alexey Mikhaylov & Nikita Moiseev, 2019. "Oil Price Predictors: Machine Learning Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 1-6.
    19. Lianlin Li & Hengxin Ruan & Che Liu & Ying Li & Ya Shuang & Andrea Alù & Cheng-Wei Qiu & Tie Jun Cui, 2019. "Machine-learning reprogrammable metasurface imager," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    20. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    21. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    22. Mason, Karl & Duggan, Jim & Howley, Enda, 2018. "Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks," Energy, Elsevier, vol. 155(C), pages 705-720.
    23. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
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