Computational Intelligence Methodologies Applied to Sustainable Development Goals

This book explores the impacts of artificial intelligence and computational intelligence on sustainable development goals and how they can influence the ability to comply in a timely manner. It is a valuable resource for specialists from STEM areas.

Format: Hardback
Length: 294 pages
Publication date: 16 April 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of computational intelligence methodologies and their profound applications in achieving sustainable development goals. Spanning 18 meticulously crafted chapters authored by esteemed scientists from diverse corners of the globe, this book explores and emphasizes the significant impacts of artificial intelligence, particularly computational intelligence, on sustainable development endeavors. It also delves into the analysis of how computational intelligence can empower individuals and organizations to effectively adhere to all the sustainable development goals in a timely manner. This book serves as a captivating treasure trove for specialists from STEM fields, offering a rich array of case studies and research avenues that beckon exploration.

Introduction:
The pursuit of sustainable development has become an urgent global priority, requiring innovative solutions to address complex challenges. Computational intelligence (CI) emerges as a powerful tool in this endeavor, offering a wide range of techniques and algorithms that can help solve complex problems and achieve sustainable outcomes.
Chapter 1:
In the first chapter, the book provides an overview of computational intelligence and its applications in sustainable development. It explores the various CI techniques, such as artificial neural networks, machine learning, and genetic algorithms, and their role in addressing environmental, social, and economic challenges. The chapter also highlights the importance of interdisciplinary collaboration in achieving sustainable development goals.
Chapter 2:
Chapter 2 delves into the specific applications of computational intelligence in achieving sustainable development goals. It discusses the use of CI in renewable energy generation, waste management, and sustainable agriculture. The chapter highlights the challenges and opportunities associated with each application and provides examples of successful implementations.
Chapter 3:
Chapter 3 explores the role of computational intelligence in monitoring and evaluating sustainable development progress. It discusses the use of data analytics, big data, and artificial intelligence algorithms to track and analyze sustainability indicators and assess the effectiveness of sustainable development initiatives. The chapter also highlights the importance of transparency and accountability in sustainable development reporting.
Chapter 4:
Chapter 4 examines the ethical considerations and challenges associated with the application of computational intelligence in sustainable development. It discusses the potential risks and biases associated with AI algorithms and the need for ethical guidelines and regulations to ensure the responsible and ethical use of CI.
Chapter 5:
Chapter 5 explores the role of computational intelligence in education and training for sustainable development. It discusses the use of online learning platforms, virtual reality, and simulation technologies to enhance sustainability education and promote lifelong learning. The chapter also highlights the importance of promoting sustainable practices and values in education.
Chapter 6:
Chapter 6 examines the role of computational intelligence in urban planning and design. It discusses the use of CI in developing smart cities, sustainable transportation systems, and green infrastructure. The chapter highlights the challenges and opportunities associated with urbanization and provides examples of successful urban planning initiatives.
Chapter 7:
Chapter 7 explores the role of computational intelligence in healthcare and medicine. It discusses the use of CI in disease diagnosis, personalized medicine, and healthcare management. The chapter highlights the potential benefits of CI in improving healthcare outcomes and reducing healthcare costs.
Chapter 8:
Chapter 8 examines the role of computational intelligence in disaster management and response. It discusses the use of CI in predicting natural disasters, developing early warning systems, and responding to emergencies. The chapter highlights the importance of disaster preparedness and response in achieving sustainable development goals.
Chapter 9:
Chapter 9 explores the role of computational intelligence in climate change mitigation and adaptation. It discusses the use of CI in modeling climate change, developing climate change mitigation strategies, and adapting to the impacts of climate change. The chapter highlights the importance of international cooperation and collaboration in addressing climate change.
Chapter 10:
Chapter 10 examines the role of computational intelligence in poverty alleviation and social development. It discusses the use of CI in developing sustainable livelihoods, promoting social inclusion, and reducing social inequality. The chapter highlights the potential benefits of CI in achieving the United Nations Sustainable Development Goals (SDGs).
Conclusion:
In conclusion, this comprehensive book provides a valuable resource for researchers, policymakers, and practitioners interested in leveraging computational intelligence to achieve sustainable development goals. By exploring the applications of CI in a wide range of sectors, the book offers insights into the potential of CI to drive positive change and promote sustainable development. As the world continues to grapple with complex sustainability challenges, the use of computational intelligence will undoubtedly play a pivotal role in shaping a more sustainable and equitable future.

Weight: 641g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030973438
Edition number: 1st ed. 2022