Democratizing data: Environmental data access and its future PDF Download

Author: Michael C. Kruk
Publisher: Frontiers Media SA
ISBN: 2832515231
Category : Science
Languages : en
Pages : 100

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Author: Özsungur, Fahri
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 446

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Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

Author: Viktor Mayer-Schönberger
Publisher: Univ of California Press
ISBN: 0520387732
Category : Business & Economics
Languages : en
Pages : 219

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The power of information -- Data alchemy -- Schumpeter's nightmare -- Data capitalism -- Might and machines -- Access rules -- Open data reloaded -- The end of data colonialism.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309267919
Category : Science
Languages : en
Pages : 201

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Book Description
Digital technologies and networks are now part of everyday work in the sciences, and have enhanced access to and use of scientific data, information, and literature significantly. They offer the promise of accelerating the discovery and communication of knowledge, both within the scientific community and in the broader society, as scientific data and information are made openly available online. The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well. The workshop brought together a set of stakeholders in this area for intensive and structured discussions. The purpose was not to make a final declaration about the directions that should be taken, but to further the examination of trends in computational knowledge discovery in the open networked environments, based on the following questions and tasks: 1. Opportunities and Benefits: What are the opportunities over the next 5 to 10 years associated with the use of computer-mediated scientific knowledge discovery across disciplines in the open online environment? What are the potential benefits to science and society of such techniques? 2. Techniques and Methods for Development and Study of Computer-mediated Scientific Knowledge Discovery: What are the techniques and methods used in government, academia, and industry to study and understand these processes, the validity and reliability of their results, and their impact inside and outside science? 3. Barriers: What are the major scientific, technological, institutional, sociological, and policy barriers to computer-mediated scientific knowledge discovery in the open online environment within the scientific community? What needs to be known and studied about each of these barriers to help achieve the opportunities for interdisciplinary science and complex problem solving? 4. Range of Options: Based on the results obtained in response to items 1-3, define a range of options that can be used by the sponsors of the project, as well as other similar organizations, to obtain and promote a better understanding of the computer-mediated scientific knowledge discovery processes and mechanisms for openly available data and information online across the scientific domains. The objective of defining these options is to improve the activities of the sponsors (and other similar organizations) and the activities of researchers that they fund externally in this emerging research area. The Future of Scientific Knowledge Discovery in Open Networked Environments: Summary of a Workshop summarizes the responses to these questions and tasks at hand.

Author: Anne Bowser
Publisher: Frontiers Media SA
ISBN: 2832507263
Category : Science
Languages : en
Pages : 316

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Author: Roberto Poli
Publisher: Edward Elgar Publishing
ISBN: 1035301601
Category : Social Science
Languages : en
Pages : 543

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This insightful Handbook emphasizes the unique contribution that Futures Studies offers when understanding and managing current situations. Contributing authors argue that by learning to examine the future in the present, individuals and organizations can expand their abilities to analyze, assess and ultimately make better decisions. This title contains one or more Open Access chapters.

Author: International Food Policy Research Institute (IFPRI)
Publisher: Intl Food Policy Res Inst
ISBN: 0896292983
Category : Political Science
Languages : en
Pages : 4

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Book Description
The year 2017 was marked by increasing uncertainty amid mixed signs of progress. The world enjoyed a strong economic recovery, but global hunger increased as conflicts, famine, and refugee crises persisted. With the withdrawal of the United States from major international agreements, Britain's “Brexit,” and rising anti-immigration rhetoric in many countries, the world began to step away from decades of global integration that have yielded unprecedented reductions in poverty and malnutrition. This synopsis of the 2018 Global Food Policy Report reviews the events of 2017, including the impact of rising antiglobalism, and looks at how global integration—through trade, investment, migration, open data, developed country policies, and governance—can be harnessed to benefit our global food system.

Author: Ian D. Jones
Publisher: Elsevier
ISBN: 0128227109
Category : Science
Languages : en
Pages : 1105

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Book Description
Wetzel's Limnology: Lake and River Ecosystems, Fourth Edition, presents a fully updated revision of the classic textbook Limnology: Lake and River Ecosystems - last published in 2001. The coverage has been thoroughly updated with recent research and theoretical developments. Each chapter of this edited volume has been written by an expert, or team of experts, providing a comprehensive and global perspective, with the editors working closely with the authors to maintain continuity within and between the chapters. This is not only an essential textbook for undergraduate and graduate students in limnology but also a standard reference book for seasoned limnologists and other scientists. - Chapters from the third edition have been updated by an international team of experts, incorporating developments from the past two decades - Several new chapters have been added, reflecting exciting developments in the field of limnology - New color illustrations and images throughout - Detailed summaries at the end of each chapter

Author: Wani, Khursheed Ahmad
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 508

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Book Description
In our world today, the pervasive threat of air, water, and soil contaminants has reached unprecedented levels, pushing ecosystems to the brink and causing harm to individuals worldwide. Despite numerous attempts by scholars to mitigate this crisis, we find ourselves in the infancy of understanding and combatting these pollutants. The lack of awareness among researchers regarding the types and extent of damage caused by contaminants further exacerbates the problem. This environmental dilemma calls for a transformative solution that not only identifies pollutants but also guides sustainable efforts to cleanse our vital ecosystems. Sensors for Environmental Monitoring, Identification, and Assessment is a groundbreaking book designed to revolutionize environmental research and provide a roadmap for tackling pollution head-on. This comprehensive guide is poised to make a significant impact on scholars, environmentalists, planners, researchers, industrialists, and academics globally. By delving into the diverse realms of environmental sensors, the book equips readers with the knowledge and tools necessary to identify pollutants in varied ecosystems and adopt sustainable approaches for cleanup. Its recommended topics cover critical areas such as indoor pollution, noise pollution, advancements in sensor technology, and the detection of pollutants in soil, water, air, and oceans.

Author: M. Z. Naser
Publisher: John Wiley & Sons
ISBN: 1119897602
Category : Technology & Engineering
Languages : en
Pages : 610

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Book Description
Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality, and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problems Details explainable and causal methods for practical engineering problems Database development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysis A framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.