Harnessing Artificial Intelligence for Climate Change Prediction and Impact Mitigation

Authors

  • Syed Muhammad Shakir Bukhari Teaching and Research Assistant, Department of Industrial Engineering, University of Engineering and Technology Peshawar
  • Maryam Naz Phd Scholar, University of Karachi
  • Anees Ur Rehman Department of Environmental Science, Karakorum international university, Gilgit.
  • Waleed Siddique Bachelors of Computer Sciences, COMSATS University Islamabad, Abbottabad Campus.
  • Sajid Khan Student of National Examination Board in Occupational Safety & Health (NEBOSH), England, United Kingdom
  • Naeem Ullah Software Engineering Research Group (SERG-UOM) at University of Malakand

DOI:

https://doi.org/10.63075/pjssr.v2i4.88

Abstract

Climate change presents one of the most significant challenges of the 21st century, impacting ecosystems, economies, and societies worldwide. Artificial Intelligence (AI) has emerged as a transformative tool in addressing climate change by enhancing predictive modeling and facilitating effective mitigation strategies. This research paper explores the role of AI in climate change prediction and impact mitigation, emphasizing its applications, challenges, and prospects. Recent advancements in machine learning, data analysis, and computational models are reviewed to provide a comprehensive understanding of how AI is reshaping the global response to climate change.

Keywords: Climate change, Artificial Intelligence (AI), mitigation strategies, computational models.

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Published

2025-01-02

How to Cite

Syed Muhammad Shakir Bukhari, Maryam Naz, Anees Ur Rehman, Waleed Siddique, Sajid Khan, & Naeem Ullah. (2025). Harnessing Artificial Intelligence for Climate Change Prediction and Impact Mitigation. Policy Journal of Social Science Review, 2(4), 912–924. https://doi.org/10.63075/pjssr.v2i4.88

Issue

Vol. 2 No. 4 (2024): Policy Journal of Social Science Review (Fall-2024)

Section

Articles