Download or read book Data Science and SDGs written by Bikas Kumar Sinha and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
Download or read book Data Science and SDGs written by Bikas Kumar Sinha and published by Springer. This book was released on 2022-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
Download or read book Data Science and SDGs written by Bikas Kumar Sinha and published by Springer Nature. This book was released on 2021-08-13 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
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 driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang and published by Springer Nature. This book was released on 2021-09-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.
Download or read book Global Environmental Sustainability written by Choy Yee Keong and published by Elsevier. This book was released on 2020-10-31 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global Environmental Sustainability: Case Studies and Analysis of the United Nations' Journey toward Sustainable Development presents an integrated, interdisciplinary analysis of sustainable development, addressing global environmental problems in the contemporary world. It critically examines current actions being taken on global and local scales, particularly in relation to the UN's efforts to promote sustainable development. This approach is supported by empirical analysis, drawing upon a host of interweaving insights spanning economics, politics, ecology, environmental philosophy, and ethics, among others. As a result, it offers a comprehensive and well-balanced assessment of the overall perspective of sustainable development supported by in-depth content analysis, theoretical evaluation, empirical and actual case studies premised on solid data, and actual field work. Also, the book marks a milestone in placing the Covid-19 pandemic into a perspective for understanding the universality of human collective environmental behavior and action.By utilizing in-depth analysis, both quantitative and qualitative, and challenging the status quo of what is expected in the global approach to sustainable development, Global Environmental Sustainability provides the theory and methodology of empirical sustainable development which is especially germane to our advanced society today, which is deeply entrenched in a crisis of environmental morality. More particularly, it serves as a salient source of moral reconstitution of society grounded in empirical reality to liberate man's excessive spirit of individualism and self-aggrandizement to the detriment of the environment. Epistemologically, the book furnishes a remarkable tour de force with a new level of analytical insight to help researchers, practitioners, and policymakers in sustainability and environmental science, as well as the many other disciplines involved in sustainable development, to better understand sustainability from a new perspective and provides a methodological direction to pursue solutions going forward. - Provides a systematic exposition of sustainable development in all its complexity, with all the chapters complementing each other in an integral way - Presents extensive empirical evidence of various environmental problems across the world including China, the United States, Canada, Southeast Asia, South America and Africa, and the extent to which the United Nations has succeeded in driving toward global environmental sustainability - Provides a cogent examination of the treatment of our global commons by some of the world's most powerful leaders - Includes data from field studies and in-depth interviews with indigenous people in Borneo's rainforests of the Malaysian state of Sarawak most affected by environmental change
Download or read book Sustainable Statistical and Data Science Methods and Practices written by O. Olawale Awe and published by Springer Nature. This book was released on 2024-01-05 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
Download or read book Big Data Artificial Intelligence and Data Analytics in Climate Change Research written by Gaurav Tripathi and published by Springer. This book was released on 2024-06-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions. In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs.
Download or read book Sustainable Development Through Data Analytics and Innovation written by Jorge Marx Gómez and published by Springer Nature. This book was released on 2022-09-26 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.
Download or read book Data Science and Human Environment Systems written by Steven M. Manson and published by Cambridge University Press. This book was released on 2023-01-31 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.
Download or read book Africa and the Sustainable Development Goals written by Maano Ramutsindela and published by Springer. This book was released on 2019-06-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book draws upon the expertise and international research collaborations forged by the Worldwide Universities Network Global Africa Group to critically engage with the intersection, in theory and practice, of the Sustainable Development Goals (SDGs) and Africa’s development agendas and needs. Further, it argues that – and demonstrates how – the SDGs should be understood as an aspirational blueprint for development with multiple meanings that are situated in dynamic and contested terrains. As the SDGs have substantial implications for development policy and resourcing at both the macro and micro levels, their relevance is not only context-specific but should also be assessed in terms of the aspirations and needs of ordinary citizens across the continent. Drawing on analyses and evidence from both the natural and social sciences, the book demonstrates that progress towards the SDGs must meet demands for improving human well-being under diverse and challenging socio-economic, political and environmental conditions. Examples include those from the mining industry, public health, employment and the media. In closing, it highlights how international collaboration in the form of research networks can enhance the production of critical knowledge on and engagement with the SDGs in Africa.
Download or read book Sustainametrics envisioning a sustainable future with data science written by Shutaro Takeda and published by Frontiers Media SA. This book was released on 2023-03-08 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research Anthology on Measuring and Achieving Sustainable Development Goals written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-12-30 with total page 1235 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sustainable Development Goals are an ongoing focus around the world as the needs of people and society continue to evolve at a rapid pace. The need for a more sustainable future has never been more pressing as issues such as climate change, natural disasters, and overpopulation present unique difficulties for the decision makers of the world. In order for them to make the best decisions regarding current priorities and strategies, up-to-date and detailed research regarding where we currently are as a society, where we want to be, and the many challenges that stand in the way is crucial. The Research Anthology on Measuring and Achieving Sustainable Development Goals is a comprehensive assessment of the current innovative research and discussions on the challenges to achieving the UN’s Sustainable Development Goals and the measures that have already been put in place to achieve them. Covering topics such as green consumer behavior and peace promotion, this book is vital for academicians, scientists, researchers, students, postdoctoral students, specialists, practitioners, businesses, governmental institutions, decision makers, environmentalists, and policymakers.
Download or read book SDG3 Good Health and Wellbeing written by Tamara Savelyeva and published by Emerald Group Publishing. This book was released on 2019-07-31 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: SDG3 - Good Health and Wellbeing: Re-Calibrating the SDG Agenda will explore topics surrounding the contemporary discussions concerning the implementation of the goal. It will cover concepts and concerns, and include practical case studies of how SDG3 has been implemented in different regions of the world.
Download or read book Fundamentals of Data Science written by Jugal K. Kalita and published by Elsevier. This book was released on 2023-11-17 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included. - Presents the foundational concepts of data science along with advanced concepts and real-life applications for applied learning - Includes coverage of a number of key topics such as data quality and pre-processing, proximity and validation, predictive data science, descriptive data science, ensemble learning, association rule mining, Big Data analytics, as well as incremental and distributed learning - Provides updates on key applications of data science techniques in areas such as Computational Biology, Network Intrusion Detection, Natural Language Processing, Software Clone Detection, Financial Data Analysis, and Scientific Time Series Data Analysis - Covers computer program code for implementing descriptive and predictive algorithms
Download or read book Open Data for Sustainable Community written by Neha Sharma and published by Springer Nature. This book was released on 2020-12-01 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today’s business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in today’s world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.
Download or read book Education for Sustainable Development Goals written by Rieckmann, Marco and published by UNESCO Publishing. This book was released on 2017-03-20 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:
