Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence in Sustainability Teaching and Research

Artificial Intelligence in Sustainability Teaching and Research

Filho, Walter Leal
Wall, Tony
Müller, Hendrik

Hardcover

Series: World Sustainability

Environmental StudiesGeneral ComputersGeneral Education

PREORDER - Expected ship date November 1, 2026

ISBN10: 3032345731
ISBN13: 9783032345738
Publisher: Springer
Published: Nov 1 2026
Pages: 528
Language: English
This open access book aims to bridge the critical intersection between artificial intelligence (AI) and sustainability, addressing an urgent need for innovative educational and research approaches in response to global environmental challenges. The rationale for this book is rooted in the increasing recognition of AI's potential to drive sustainable practices, enhance research quality, and improve educational methodologies. As our planet faces unprecedented challenges such as climate change, resource depletion, and biodiversity loss and urgent needs of climate action and sustainable development, it is essential to equip educators and researchers with the tools and frameworks necessary to integrate AI into sustainability initiatives. The book serves as a comprehensive resource, showcasing how AI can facilitate data analysis, optimize resource management, and support decision-making processes in sustainability contexts. Moreover, with AI technologies rapidly evolving, there is a pressing need for curricula that reflect these advancements. This book provides educators with a structured approach to incorporate AI into their teaching, ensuring that students acquire relevant skills to thrive in a future where technology and sustainability are interconnected. By highlighting practical applications and case studies, it stimulates critical thinking and innovation among students, preparing them for careers in an increasingly complex and technology-driven world. In addition, the book aims to foster interdisciplinary collaboration, bridging the gap between computer science, environmental science, and social sciences. It promotes a holistic understanding of sustainability challenges and encourages researchers to explore AI-driven solutions that are ethically sound and scientifically valid. Ultimately, this book is a call to action for educators, researchers, and policymakers to embrace AI as a vital component in crafting effective sustainability strategies, inspiring the next generation to lead the way in creating a more sustainable future.

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