Download or read book How Can Data Science Contribute to a Greener World written by Dong Wang and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data for a Greener World written by International Monetary Fund and published by International Monetary Fund. This book was released on 2023-03-15 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Data Science Applied to Sustainability Analysis written by Jennifer Dunn and published by Elsevier. This book was released on 2021-05-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2020-03-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Grow a Greener Data Center written by Douglas Alger and published by Pearson Education. This book was released on 2010 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Paths to a Green World The Political Economy of the Global Environment written by Jennifer Clapp And Peter Dauvergne and published by Academic Foundation. This book was released on 2008 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Little Green Data written by World Bank and published by World Bank Publications. This book was released on 2009 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
Download or read book Computational Intelligence Techniques for Green Smart Cities written by Mohamed Lahby and published by Springer Nature. This book was released on 2022-04-22 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Data Science for Agricultural Innovation and Productivity written by S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa and published by Bentham Science Publishers. This book was released on 2024-02-12 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Novel AI and Data Science Advancements for Sustainability in the Era of COVID 19 written by Victor Chang and published by Academic Press. This book was released on 2022-04-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak
Download or read book Roundtable on Data Science Postsecondary Education written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-10-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Download or read book Tailings and Mine Waste 2002 written by Symposium Editors and published by CRC Press. This book was released on 2002-01-01 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings in this work present 60 papers on mine and mill tailings and mine waste, as well as current and future issues facing the mining and environmental communities. This includes matters dealing with technical capabilities and developments, regulations, and environmental concerns.
Download or read book Taming the Big Green Elephant written by Ariel Macaspac Hernández and published by Springer Nature. This book was released on 2020 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this open access publication it is shown, that sustainable low carbon development is a transformative process that constitutes the shifting from the initially chosen or taken pathway to another pathway as goals have been re-visited and revised to enable the system to adapt to changes. However, shifting entails transition costs that are accrued through the effects of lock-ins that have framed decisions and collective actions. The uncertainty about these costs can be overwhelming or even disruptive. This book aims to provide a comprehensive and integrated analytical framework that promotes the understanding of transformation towards sustainability. The analysis of this book is built upon negotiative perspectives to help define, design, and facilitate collective actions in order to execute the principles of sustainability. Dr Dr Ariel Macaspac Hernandez is currently a researcher at the German Development Institute belonging to the research cluster knowledge cooperation and environmental governance. He was/is also a lecturer on negotiations, conflict and resource management, sustainability politics, environmental governance, climate change policies, development aid and sustainable energy systems in various universities in Germany, Philippines, Jamaica, Estonia, Spain and Mexico.
Download or read book Doing Computational Social Science written by John McLevey and published by SAGE. This book was released on 2021-12-15 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Download or read book Designing Green Networks and Network Operations written by Daniel Minoli and published by CRC Press. This book was released on 2011-06-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, socio-political trends toward environmental responsibility and the pressing need to reduce Run-the-Engine (RTE) costs have resulted in the concept of Green IT. Although a significant amount of energy is used to operate routing, switching, and transmission equipment, comparatively less attention has been paid to Green Networking. A clear and concise introduction to green networks and green network operations, Designing Green Networks and Network Operations: Saving Run-the-Engine Costs guides you through the techniques available to achieve efficiency goals for corporate and carrier networks, including deploying more efficient hardware, blade form-factor routers and switches, and pursuing consolidation, virtualization, and network and cloud computing. The book: Delineates techniques to minimize network power, cooling, floor space, and online storage while optimizing service performance, capacity, and availability Discusses virtualization, network computing, and Web services as approaches for green data centers and networks Emphasizes best practices and compliance with international standards for green operations Extends the green data center techniques to the networking environment Incorporates green principles in the intranet, extranet, and the entire IT infrastructures Reviews networking, power management, HVAC and CRAC basics Presents methodical steps toward a seamless migration to Green IT and Green Networking
Download or read book Ethics and Data Science written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2018-07-25 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.
