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Author: Dong Wang
Publisher:
ISBN: 9789178557189
Category :
Languages : en
Pages :
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Book Description
Author: Dong Wang
Publisher:
ISBN: 9789178557189
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 231
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Book Description
Data for a Greener World presents a structured discussion on how to measure the economic and financial dimensions of climate change. It combines economic theory and analysis with real world examples of how climate data can be constructed for different country settings, based on existing climate science and economic data. The book identifies important climate data gaps, as well as practical and innovative approaches to close many of these gaps. The book discusses how to track greenhouse gas emission by production and consumption (Chapters 1-2), which lead to physical risks (Chapters 3-4) and transition risks (Chapters 5-7) and concludes with cross-border implications of climate risks (Chapters 8-9). The book also showcases a collaboration of seven international organizations: European Central Bank, Eurostat, International Energy Agency, International Monetary Fund, Organisation for Economic Cooperation and Development, World Bank, and World Trade Organization. Chapter contributions come from leading practitioners and experts in the fields of energy and climate change issues. This volume also serves as a reference guide for the IMF's Climate Change Indicators Dashboard and future research in this area.
Author: Ordóñez de Pablos, Patricia
Publisher: IGI Global
ISBN: 166844612X
Category : Business & Economics
Languages : en
Pages : 412
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Book Description
Cities, economies, and societies around the world must address the urgent global challenges such as climate change or the transition towards a greener and digital economy. It is important that economies are transformed into resource-efficient, competitive, and resilient ones. In the context of rapid change, transformative technologies like artificial intelligence (AI), blockchain, or the internet of things (IoT) play a key role in this digital transition across a wide range of areas. The Handbook of Research on Building Greener Economics and Adopting Digital Tools in the Era of Climate Change discusses global challenges like the transition towards a circular, greener, and digital economy. It proposes actions to advance the agenda towards climate-friendly businesses and economies. The book fosters cooperation among researchers, companies, and policymakers to share national initiatives and disseminate relevant knowledge. Covering topics such as cross-cultural communication, green product consumption, and organization performance strategies, this major reference work is an essential resource for business leaders and managers, entrepreneurs, government officials, politicians, policymakers, environmentalist organizations, students and faculty of higher education, researchers, and academicians.
Author: Douglas Alger
Publisher: Pearson Education
ISBN: 1587058138
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
Alger presents technologies, design strategies, and operational approaches that can help any company improve the energy efficiency and "eco-friendliness" of their IT facilities. He walks step-by-step through "greening" physical construction, power, cooling, and servers; then covers equipment consolidation, virtualization, and much more.
Author: Jennifer Dunn
Publisher: Elsevier
ISBN: 0128179775
Category : Science
Languages : en
Pages : 312
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Book Description
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses
Author: Mohamed Lahby
Publisher: Springer Nature
ISBN: 3030964299
Category : Science
Languages : en
Pages : 418
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Book Description
This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.
Author: Catherine D'Ignazio
Publisher: MIT Press
ISBN: 0262358530
Category : Social Science
Languages : en
Pages : 328
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Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa
Publisher: Bentham Science Publishers
ISBN: 9815196189
Category : Technology & Engineering
Languages : en
Pages : 229
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Book Description
Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030967770X
Category : Education
Languages : en
Pages : 223
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Book Description
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.
Author: Bill Gates
Publisher: Vintage
ISBN: 0385546149
Category : Science
Languages : en
Pages : 201
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Book Description
#1 NEW YORK TIMES BEST SELLER • In this urgent, authoritative book, Bill Gates sets out a wide-ranging, practical—and accessible—plan for how the world can get to zero greenhouse gas emissions in time to avoid a climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help of experts in the fields of physics, chemistry, biology, engineering, political science, and finance, he has focused on what must be done in order to stop the planet's slide to certain environmental disaster. In this book, he not only explains why we need to work toward net-zero emissions of greenhouse gases, but also details what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. Drawing on his understanding of innovation and what it takes to get new ideas into the market, he describes the areas in which technology is already helping to reduce emissions, where and how the current technology can be made to function more effectively, where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete, practical plan for achieving the goal of zero emissions—suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers, and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but if we follow the plan he sets out here, it is a goal firmly within our reach.
