A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today’s rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development and Sustainable Ecosystems discusses recent advances and innovative research in the area of information and communication technology for sustainable development and covers practices in several artificial intelligence fields such as knowledge representation and reasoning, natural language processing, machine learning, and the semantic web. Covering topics such as blockchain, deep learning, and renewable energy, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, instructors, and students.

Environmental activists and academics alike are realizing that a sustainable society must be a just one. Environmental degradation is almost always linked to questions of human equality and quality of life. Throughout the world, those segments of the population that have the least political power and are the most marginalized are selectively victimized by environmental crises. This book argues that social and environmental justice within and between nations should be an integral part of the policies and agreements that promote sustainable development. The book addresses the links between environmental quality and human equality and between sustainability and environmental justice.

The demand for secure, affordable and clean energy is a priority call to humanity. Challenges associated with conventional energy resources, such as depletion of fossil fuels, high costs and associated greenhouse gas emissions, have stimulated interests in renewable energy resources. For instance, there have been clear gaps and rushed thoughts about replacing fossil-fuel driven engines with electric vehicles without long-term plans for energy security and recycling approaches. This book aims to provide a clear vision to scientists, industrialists and policy makers on renewable energy resources, predicted challenges and emerging applications. It can be used to help produce new technologies for sustainable, connected and harvested energy. A clear response to economic growth and clean environment demands is also illustrated.

A practical, bipartisan call to action from the world’s leading thinkers on the environment and sustainability Sustainability has emerged as a global priority over the past several years. The 2015 Paris Agreement on climate change and the adoption of the seventeen Sustainable Development Goals through the United Nations have highlighted the need to address critical challenges such as the buildup of greenhouse gases in the atmosphere, water shortages, and air pollution. But in the United States, partisan divides, regional disputes, and deep disagreements over core principles have made it nearly impossible to chart a course toward a sustainable future. This timely new book, edited by celebrated scholar Daniel C. Esty, offers fresh thinking and forward-looking solutions from environmental thought leaders across the political spectrum. The book’s forty essays cover such subjects as ecology, environmental justice, Big Data, public health, and climate change, all with an emphasis on sustainability. The book focuses on moving toward sustainability through actionable, bipartisan approaches based on rigorous analytical research.

The major challenge for the current generation of mankind is to develop a shared vision of a future that is both desirable to the vast majority of humanity and ecologically sustainable. Creating a Sustainable and Desirable Future offers a broad, critical discussion on what such a future should or can be, with global perspectives written by some of the world's leading thinkers, including: Wendell Berry, Van Jones, Frances Moore Lappe, Peggy Liu, Hunter Lovins, Gus Speth, Bill McKibben, and many more.

This book presents a broad discussion on sustainable development, rethinking and improving its effectiveness as a paradigm of today and tomorrow. Outstanding visionary thinkers and scientists offer their timely assessment on the future prospects of mankind: In what direction are we heading? How can the world become more just and equitable, and how can future development be sustained to adequately address economic, social, and – perhaps most important – environmental issues?

This book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022. The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emerging devices and systems, Emerging tools and methodologies and others.

Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, and climate change risks. It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. Discussions include a broad, integrated perspective on sustainability, integrated risk, multi-scale changes and impacts taking place within ecosystems worldwide. State-of-the-art statistical techniques, including Bayesian hierarchical, spatio-temporal, agent-based and game-theoretic approaches are explored. The author then focuses on the real-world integration of observational and experimental data and its use within statistical models.