Download or read book Democratizing data Environmental data access and its future written by Michael C. Kruk and published by Frontiers Media SA. This book was released on 2023-02-27 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Democratizing Our Data written by Julia Lane and published by MIT Press. This book was released on 2021-10-19 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wake-up call for America to create a new framework for democratizing data. Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.

Download or read book Generating Entrepreneurial Ideas With AI written by Özsungur, Fahri and published by IGI Global. This book was released on 2024-07-18 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Access Rules written by Viktor Mayer-Schönberger and published by Univ of California Press. This book was released on 2022-04-26 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The power of information -- Data alchemy -- Schumpeter's nightmare -- Data capitalism -- Might and machines -- Access rules -- Open data reloaded -- The end of data colonialism.

Download or read book The Future of Scientific Knowledge Discovery in Open Networked Environments written by National Research Council and published by National Academies Press. This book was released on 2013-01-13 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Open Citizen Science Data and Methods written by Anne Bowser and published by Frontiers Media SA. This book was released on 2022-11-25 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Futures Studies written by Roberto Poli and published by Edward Elgar Publishing. This book was released on 2024-07-05 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Democratization of Data written by Sarah Treuhaft and published by . This book was released on 2006 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 2018 Global food policy report Synopsis written by International Food Policy Research Institute (IFPRI) and published by Intl Food Policy Res Inst. This book was released on 2018-03-20 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Wetzel s Limnology written by Ian D. Jones and published by Elsevier. This book was released on 2023-09-16 with total page 1105 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Preservation and the New Data Landscape written by Erica Avrami and published by Issues in Preservation Policy. This book was released on 2019 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how enhancing the collection, accuracy, and management of data can aid in identifying vulnerable neighborhoods, understanding the role of older buildings, and planning sustainable growth. For preservation to play a dynamic and inclusive role, policy must evolve beyond designation and regulation and use evidence-based research.

Download or read book Sensors for Environmental Monitoring Identification and Assessment written by Wani, Khursheed Ahmad and published by IGI Global. This book was released on 2024-05-23 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Learning for Civil and Environmental Engineers written by M. Z. Naser and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Future of Youth Violence Prevention written by Paul Boxer and published by Rutgers University Press. This book was released on 2024-12-13 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future of Youth Violence Prevention: A Mixtape for Practice, Policy, and Research focuses on innovative approaches to youth violence prevention that utilize consistent principles found within existing best practices but are dynamic and adaptable across settings—and the sociohistorical and cultural realities of those settings. This book features scholars anchored in applied practices who can ground these forward-thinking strategies in the substantive base of research and theory that has produced successful interventions across multiple disciplines. The scholarship and cutting-edge thinking assembled in this volume could produce new-era youth violence prevention coordinators prepared to serve in any setting—including community outreach programs, therapeutic group homes, day reporting centers, juvenile probation offices, schools, or clinics. These coordinators will be able to cocreate intervention techniques using core prevention elements drawing from a range of ideas and a multitude of disciplines while embracing the assets and resources already in place.

Download or read book The Future of Digital Data Heritage and Curation written by Fiona R. Cameron and published by Routledge. This book was released on 2021-03-30 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future of Digital Data, Heritage and Curation critiques digital cultural heritage concepts and their application to data, developing new theories, curatorial practices and a more-than-human museology for a contemporary and future world. Presenting a diverse range of case examples from around the globe, Cameron offers a critical and philosophical reflection on the ways in which digital cultural heritage is currently framed as societal data worth passing on to future generations in two distinct forms: digitally born and digitizations. Demonstrating that most perceptions of digital cultural heritage are distinctly western in nature, the book also examines the complicity of such heritage in climate change, and environmental destruction and injustice. Going further still, the book theorizes the future of digital data, heritage, curation and the notion of the human in the context of the profusion of new types of societal data and production processes driven by the intensification of data economies and through the emergence of new technologies. In so doing, the book makes a case for the development of new types of heritage that comprise AI, automated systems, biological entities, infrastructures, minerals and chemicals – all of which have their own forms of agency, intelligence and cognition. The Future of Digital Data, Heritage and Curation is essential reading for academics and students engaged in the study of museums, archives, libraries, galleries, archaeology, cultural heritage management, information management, curatorial studies and digital humanities.

Download or read book The Immaculate Conception of Data written by Kelly Bronson and published by McGill-Queen's Press - MQUP. This book was released on 2022-08-15 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every new tractor now contains built-in sensors that collect data and stream it to cloud-based infrastructure. Seed and chemical companies are using these data, and these agribusinesses are a form of big tech alongside firms like Google and Facebook. The Immaculate Conception of Data peeks behind the secretive legal agreements surrounding agricultural big data to trace how it is used and with what consequences. Agribusinesses are among the oldest oligopoly corporations in the world, and their concentration gives them an advantage over other food system actors. Kelly Bronson explores what happens when big data get caught up in pre-existing arrangements of power. Her richly ethnographic account details the work of corporate scientists, farmers using the data, and activist “hackers” building open-source data platforms. Actors working in private and public contexts have divergent views on whom new technology is for, how it should be developed, and what kinds of agriculture it should support. Surprisingly, despite their differences, these groups share a way of speaking about data and its value for the future. Bronson calls this the immaculate conception of data, arguing that this phenomenon is a dangerous framework for imagining big data and what it might do for society. Drawing our attention to agriculture as an important new site for big tech criticism, The Immaculate Conception of Data uniquely bridges science and technology studies, critical data studies, and food studies, bringing to light salient issues related to data justice and a sustainable food system.

Download or read book Social and Ethical Implications of AI in Finance for Sustainability written by Derbali, Abdelkader Mohamed Sghaier and published by IGI Global. This book was released on 2024-04-22 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The crucial challenge of integrating sustainability into business and investment decisions is compounded by the complexity of analyzing vast and intricate datasets to make informed choices. Traditional approaches often fail to provide timely and accurate insights into environmental, social, and governance (ESG) factors, hindering progress toward a greener future. Additionally, the rapid evolution of AI and machine learning in finance has left many professionals needing help to grasp their full potential in advancing sustainability goals. With a comprehensive understanding and practical guidance, organizations can stay caught up in adopting sustainable practices and leveraging AI for financial and environmental benefits. Social and Ethical Implications of AI in Finance for Sustainability offers a timely and comprehensive solution to these challenges by thoroughly examining how AI can safely enhance sustainability in finance. The book bridges the gap between theory and practice, offering practical insights and real-world applications to empower academics, practitioners, policymakers, and students. Through a series of expertly curated chapters, readers will gain a deep understanding of the role AI plays in reshaping finance for a sustainable future. The book's instructional elements, including case studies and expert analysis, provide a roadmap for incorporating AI into sustainability strategies, enabling organizations to make informed decisions and drive positive change.