IDEAS home Printed from https://ideas.repec.org/a/ibn/jsd123/v18y2025i6p77.html
   My bibliography  Save this article

Leveraging Artificial Intelligence for Smarter Climate Policy and Strategic Government Planning

Author

Listed:
  • Kolawole Anthony Fayemi

Abstract

The growing challenges posed by climate change require global strategies that exploit emerging technologies, in particular artificial intelligence (AI), to improve the analysis of climatic data and the planning of resilience. AI capabilities in the processing of vast data sets allow the identification of patterns, the forecasting of the impacts related to the climate and the development of targeted mitigation strategies, positioning it as a transformative tool in the fight against climate change (Al-Raeei, 2024). The integration of AI technologies in climatic initiatives not only promotes innovative research methodologies, but also supports decision makers in the formulation of evidence-based policies to navigate the complexities of climatic systems. The effective analysis of climatic data involves the collection, processing and interpretation of a wide range of sources of environmental data. Artificial intelligence techniques such as machine learning, predictive analysis and the processing of natural language allow the analysis of data in real time, which can improve early warning systems, optimize the allocation of resources and facilitate adaptive management in various sectors (Limón et al., 2025). This analytical power is essential to identify climatic risks and vulnerability, thus allowing governments to implement proactive resilience planning efforts.

Suggested Citation

  • Kolawole Anthony Fayemi, 2025. "Leveraging Artificial Intelligence for Smarter Climate Policy and Strategic Government Planning," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 18(6), pages 1-77, November.
    • Handle: RePEc:ibn:jsd123:v:18:y:2025:i:6:p:77
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jsd/article/download/0/0/52297/56951
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/jsd/article/view/0/52297
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jsd123:v:18:y:2025:i:6:p:77. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.