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{ "item_title" : "AI and Data Science for a Climate-Resilient and Sustainable Future", "item_author" : [" Zindoga Mukandavire", "Hannah Al Ali", "Alireza Daneshkhah "], "item_description" : "AI and Data Science for a Climate-Resilient and Sustainable Future presents the latest advancements, applications, and innovations showcased at the first International Conference on AI and Data Science Applications and Advances (ICADAA 2025). The book explores how artificial intelligence and data-driven technologies are being utilized to develop climate-resilient societies, sustainable economies, and environmentally responsible industries. Featuring cutting-edge research and interdisciplinary perspectives, this volume delves into topics such as AI-enabled climate modeling, predictive analytics for disaster resilience, green computing, digital twins for environmental planning, and data-driven approaches to sustainable agriculture, mobility, and resource management. Special attention is given to sectors most affected by the climate crisis, including energy, transportation, aviation, and urban planning. The book also addresses critical issues, including ethical AI, responsible innovation, climate finance, environmental governance, and the integration of AI in policy formulation. Through case studies, empirical findings, and forward-looking insights, this volume demonstrates how AI and data science can accelerate the global transition toward sustainability. Written for researchers, practitioners, policymakers, and industry professionals, this proceedings volume serves as a timely and comprehensive reference for understanding the transformative role of data-driven technologies in tackling climate change and fostering a sustainable future. Showcases applied research and case studies demonstrating AI-driven climate resilience and sustainability solutions; Includes a dedicated section on sustainable aviation and climate-resilient transport infrastructure; Explores digital twins, green AI, autonomous systems, and advanced predictive models for environmental management. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/236/328/3032363284_b.jpg", "price_data" : { "retail_price" : "279.99", "online_price" : "279.99", "our_price" : "279.99", "club_price" : "279.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI and Data Science for a Climate-Resilient and Sustainable Future|Zindoga Mukandavire

AI and Data Science for a Climate-Resilient and Sustainable Future : Proceedings of the International Conference on AI and Data Science Applications an

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Overview

AI and Data Science for a Climate-Resilient and Sustainable Future presents the latest advancements, applications, and innovations showcased at the first International Conference on AI and Data Science Applications and Advances (ICADAA 2025). The book explores how artificial intelligence and data-driven technologies are being utilized to develop climate-resilient societies, sustainable economies, and environmentally responsible industries. Featuring cutting-edge research and interdisciplinary perspectives, this volume delves into topics such as AI-enabled climate modeling, predictive analytics for disaster resilience, green computing, digital twins for environmental planning, and data-driven approaches to sustainable agriculture, mobility, and resource management. Special attention is given to sectors most affected by the climate crisis, including energy, transportation, aviation, and urban planning. The book also addresses critical issues, including ethical AI, responsible innovation, climate finance, environmental governance, and the integration of AI in policy formulation. Through case studies, empirical findings, and forward-looking insights, this volume demonstrates how AI and data science can accelerate the global transition toward sustainability.

Written for researchers, practitioners, policymakers, and industry professionals, this proceedings volume serves as a timely and comprehensive reference for understanding the transformative role of data-driven technologies in tackling climate change and fostering a sustainable future.

  • Showcases applied research and case studies demonstrating AI-driven climate resilience and sustainability solutions;
  • Includes a dedicated section on sustainable aviation and climate-resilient transport infrastructure;
  • Explores digital twins, green AI, autonomous systems, and advanced predictive models for environmental management.

This item is Non-Returnable

Details

  • ISBN-13: 9783032363282
  • ISBN-10: 3032363284
  • Publisher: Springer
  • Publish Date: November 2026
  • Page Count: 740

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