Abstract
This article explores the critical role of data science in addressing climate change and environmental degradation. By analyzing data from sources like satellite imagery and sensor networks, data science provides valuable insights that enhance climate models, predict natural disasters, and promote sustainable resource management. It highlights how advanced technologies such as machine learning and AI improve environmental monitoring and support proactive measures. The paper also discusses the challenges and ethical considerations of using data science for environmental conservation and underscores the necessity of interdisciplinary efforts to develop effective strategies for a sustainable future.
Keywords
Data Science, Climate Change, Artificial Intelligence (AI).
Citations
IRE Journals:
Joseph Jeremiah Adekunle , Fatimo Ajoke Bello , Edward Idemudia Agboare , Reuben Solomon , Christopher Olayinka Osasona; Olatunde Simeon Awolola
"Data Science Contribution to Climate and Environmental Change" Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 344-351
IEEE:
Joseph Jeremiah Adekunle , Fatimo Ajoke Bello , Edward Idemudia Agboare , Reuben Solomon , Christopher Olayinka Osasona; Olatunde Simeon Awolola
"Data Science Contribution to Climate and Environmental Change" Iconic Research And Engineering Journals, 8(2)
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