Sustainable Data Gap
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Sustainable Data Gap
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Author : Sofia D'Alessandro
language : it
Publisher: FrancoAngeli
Release Date : 2023-09-22T00:00:00+02:00
Sustainable Data Gap written by Sofia D'Alessandro and has been published by FrancoAngeli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22T00:00:00+02:00 with Business & Economics categories.
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Reimagining Digital Learning For Sustainable Development
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Author : Sheila Jagannathan
language : en
Publisher: Routledge
Release Date : 2021-06-22
Reimagining Digital Learning For Sustainable Development written by Sheila Jagannathan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Education categories.
Reimagining Digital Learning for Sustainable Development is a comprehensive playbook for education leaders, policy makers, and other key stakeholders leading the modernization of learning and development in their institutions as they build a high value knowledge economy and prepare learners for jobs that don't yet exist. Currently, nearly every aspect of human activity, including the ways we absorb and apply learning, is influenced by disruptive digital technologies. The jobs available today are no longer predicators of future employment, and current and future workforce members will need to augment their competencies through a lifetime of continuous upskilling and reskilling to meet the demands of the Fourth Industrial Revolution. This book features curated insights and real-world cases from thought leaders throughout the world and identifies major shifts in content formats, pedagogic approaches, technology frameworks, user and design experiences, and learner roles and expectations that will reshape our institutions, including those in emerging economies. The agile, lean, and cost-effective strategies proposed here will function in scalable and flexible bandwidth environments, enabling education leaders and practitioners to transform brick-and-mortar learning organizations into digital and blended ecosystems and to achieve the United Nation’s ambitious Sustainable Development Goals by 2030. Chapter 18 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Sustainable Development Through Data Analytics And Innovation
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Author : Jorge Marx Gómez
language : en
Publisher: Springer Nature
Release Date : 2022-09-26
Sustainable Development Through Data Analytics And Innovation written by Jorge Marx Gómez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Computers categories.
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.
Data Center 2 0
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Author : Rien Dijkstra
language : en
Publisher: CreateSpace
Release Date : 2014-06-09
Data Center 2 0 written by Rien Dijkstra and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-09 with categories.
Data Center 2.0: The Sustainable Data Center is an in-depth look into the steps needed to transform modern-day data centers into sustainable entities. A sustainable data center should be environmentally viable, economically equitable, and socially bearable. Creating sustainable data centers is not a technical problem but an economic problem to be solved. This book takes a conceptual approach to the subject of data centers and sustainability. It offers at least multiple views and aspects on sustainable data centers to allow readers to gain a better understanding and provoke thoughts on how to create sustainable data centers. "Data Center 2.0, is not so much about technology but about people, society and economic development. By helping readers understand that even if Data Centers, enabling the Digital economy, are contributing a lot to energy saving, they need to be sustainable themselves; Rien Dijkstra is on the right track. When explaining how to build sustainable Data Centers, through multi disciplinary approach, breaking the usual silos of the different expertise, Rien Dijkstra is proposing the change of behavior needed to build sustainable Data Centers. Definitely it is about people, not technology." Paul-Francois Cattier Global Senior Vice-President Data Center - Schneider Electric “In Data Center 2.0 The Sustainable Data Center author Rien Dijkstra has gone several steps further in viewing the data center from the perspective of long term ownership and efficiency in combination with treating it as a system. It's an excellent read with many sections that could be extracted and utilized in their own right. I highly recommend this read for IT leaders who are struggling with the questions of whether to add capacity (co-locate, buy, build, or lease) or how to create a stronger organizational ownership model for existing data center capacity. The questions get more complex every year and the risks more serious for the business. The fact that you're making a business critical decision that must stand the test of technology and business change over 15 years is something you shouldn't take lightly.” Mark Thiele President and Founder Data Center Pulse “Data centers used to be buildings to house computer servers along with network and storage systems, a physical manifestation of the Digital Economy. Internet of Things, the digitization of about everything in and around us, brings many profound changes. A data center is the place where it all comes together. Physical and digital life, fueled by energy and IT, economical and social demands and needs and not to forget sustainability considerations. Sustainable data centers have a great potential to help society to optimize the use of resources and to eliminate or reduce wastes of capital, human labor and energy. A data center in that sense is much more than just a building for servers. It has become a new business model. Data center 2.0 is a remarkable book that describes the steps and phases to facilitate and achieve this paradigm.” John Post Managing Director - Foundation Green IT Amsterdam region
Advances In Production Management Systems Sustainable Production And Service Supply Chains
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Author : Vittal Prabhu
language : en
Publisher: Springer
Release Date : 2016-08-27
Advances In Production Management Systems Sustainable Production And Service Supply Chains written by Vittal Prabhu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.
The two volumes IFIP AICT 414 and 415 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2013, held in University Park, PA, USA, in September 2013. The 133 revised full papers were carefully reviewed and selected for inclusion in the two volumes. They are organized in 4 parts: sustainable production, sustainable supply chains, sustainable services, and ICT and emerging technologies.
Sustainable Data Gap Earthrise E Finanza Sostenibile Strumenti Finanziari Green E Strategia Esg Alla Luce Della Normativa Europea
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Author : Sofia D'Alessandro
language : it
Publisher:
Release Date : 2023
Sustainable Data Gap Earthrise E Finanza Sostenibile Strumenti Finanziari Green E Strategia Esg Alla Luce Della Normativa Europea written by Sofia D'Alessandro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Business & Economics categories.
Ecocentric Fisheries Management In European Seas Data Gaps Base Models And Initial Assessments Volume I
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Author : Athanassios C. Tsikliras
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-31
Ecocentric Fisheries Management In European Seas Data Gaps Base Models And Initial Assessments Volume I written by Athanassios C. Tsikliras and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Science categories.
Computational Intelligent Data Analysis For Sustainable Development
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Author : Ting Yu
language : en
Publisher: CRC Press
Release Date : 2013-04-04
Computational Intelligent Data Analysis For Sustainable Development written by Ting Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-04 with Business & Economics categories.
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems. With a focus on integrated sustainability analysis, the book presents a large-scale quadratic programming algorithm to expand high-resolution input-output tables from the national scale to the multinational scale to measure the carbon footprint of the entire trade supply chain. It also quantifies the error or dispersion between different reclassification and aggregation schemas, revealing that aggregation errors have a high concentration over specific regions and sectors. The book summarizes the latest contributions of the data analysis community to climate change research. A profuse amount of climate data of various types is available, providing a rich and fertile playground for future data mining and machine learning research. The book also pays special attention to several critical challenges in the science of climate extremes that are not handled by the current generation of climate models. It discusses potential conceptual and methodological directions to build a close integration between physical understanding, or physics-based modeling, and data-driven insights. The book then covers the conservation of species and ecologically valuable land. A case study on the Pennsylvania Dirt and Gravel Roads Program demonstrates that multiple-objective linear programming is a more versatile and efficient approach than the widely used benefit targeting selection process. Moving on to renewable energy and the need for smart grids, the book explores how the ongoing transformation to a sustainable energy system of renewable sources leads to a paradigm shift from demand-driven generation to generation-driven demand. It shows how to maximize renewable energy as electricity by building a supergrid or mixing renewable sources with demand management and storage. It also presents intelligent data analysis for real-time detection of disruptive events from power system frequency data collected using an existing Internet-based frequency monitoring network as well as evaluates a set of computationally intelligent techniques for long-term wind resource assessment. In addition, the book gives an example of how temporal and spatial data analysis tools are used to gather knowledge about behavioral data and address important social problems such as criminal offenses. It also applies constraint logic programming to a planning problem: the environmental and social impact assessment of the regional energy plan of the Emilia-Romagna region of Italy. Sustainable development problems, such as global warming, resource shortages, global species loss, and pollution, push researchers to create powerful data analysis approaches that analysts can then use to gain insight into these issues to support rational decision making. This volume shows both the data analysis and sustainable development communities how to use intelligent data analysis tools to address practical problems and encourages researchers to develop better methods.
Data Science Applied To Sustainability Analysis
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Author : Jennifer Dunn
language : en
Publisher: Elsevier
Release Date : 2021-05-11
Data Science Applied To Sustainability Analysis written by Jennifer Dunn and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Science categories.
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
Big Data Science And Analytics For Smart Sustainable Urbanism
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Author : Simon Elias Bibri
language : en
Publisher: Springer
Release Date : 2020-07-03
Big Data Science And Analytics For Smart Sustainable Urbanism written by Simon Elias Bibri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-03 with Political Science categories.
We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.