Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

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Publisher : Springer Nature
ISBN 13 : 3030775178
Total Pages : 403 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2021-10-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.

Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

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Publisher :
ISBN 13 : 9783030775186
Total Pages : 0 pages
Book Rating : 4.7/5 (751 download)

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Book Synopsis Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 - 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.

Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas

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Publisher : Springer Nature
ISBN 13 : 3030961885
Total Pages : 200 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2022-03-28 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2021 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas

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Publisher : Springer Nature
ISBN 13 : 3030834182
Total Pages : 282 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2022-01-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.

Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas

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Publisher : Springer Nature
ISBN 13 : 3030359026
Total Pages : 292 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas by : Ted Carmichael

Download or read book Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas written by Ted Carmichael and published by Springer Nature. This book was released on 2020-05-27 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 – 28, 2018, at the Drury Plaza Hotel. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. Readers will not only have the methods and results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. This book, we hope, will appeal to any researchers and students working in the social sciences, broadly defined, who aim to better understand and apply the concepts of Complex Adaptive Systems to their work.

Using Computational Intelligence for the Dark Web and Illicit Behavior Detection

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Publisher : IGI Global
ISBN 13 : 1668464454
Total Pages : 336 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by : Rawat, Romil

Download or read book Using Computational Intelligence for the Dark Web and Illicit Behavior Detection written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas

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Author :
Publisher : Springer Nature
ISBN 13 : 303137553X
Total Pages : 240 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer Nature. This book was released on 2023-10-10 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of computational social science (CSS) methods, uses, and results, as presented at the 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Social Computing and Social Media: Experience Design and Social Network Analysis

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Publisher : Springer Nature
ISBN 13 : 3030776263
Total Pages : 569 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Social Computing and Social Media: Experience Design and Social Network Analysis by : Gabriele Meiselwitz

Download or read book Social Computing and Social Media: Experience Design and Social Network Analysis written by Gabriele Meiselwitz and published by Springer Nature. This book was released on 2021-07-03 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12774 and 12775 constitutes the refereed proceedings of the 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers of SCSM 2021, Part I, are organized in topical sections named: Computer Mediated Communication; Social Network Analysis; Experience Design in Social Computing.

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

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Publisher : IGI Global
ISBN 13 : 1668439441
Total Pages : 300 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Rawat, Romil

Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas

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Author :
Publisher : Springer
ISBN 13 : 9783031375521
Total Pages : 0 pages
Book Rating : 4.3/5 (755 download)

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Book Synopsis Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas by : Zining Yang

Download or read book Proceedings of the 2022 Conference of The Computational Social Science Society of the Americas written by Zining Yang and published by Springer. This book was released on 2023-09-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the latest research in the field of computational social science (CSS) methods, uses, and results, as presented at the 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Handbook of Computational Social Science for Policy

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Publisher : Springer Nature
ISBN 13 : 3031166248
Total Pages : 497 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Handbook of Computational Social Science for Policy by : Eleonora Bertoni

Download or read book Handbook of Computational Social Science for Policy written by Eleonora Bertoni and published by Springer Nature. This book was released on 2023-01-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

Handbook of Computational Social Science, Volume 2

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Publisher : Taylor & Francis
ISBN 13 : 1000448592
Total Pages : 434 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Computational Social Science, Volume 2 by : Uwe Engel

Download or read book Handbook of Computational Social Science, Volume 2 written by Uwe Engel and published by Taylor & Francis. This book was released on 2021-11-10 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Data Science in Cybersecurity and Cyberthreat Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030387887
Total Pages : 140 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Science in Cybersecurity and Cyberthreat Intelligence by : Leslie F. Sikos

Download or read book Data Science in Cybersecurity and Cyberthreat Intelligence written by Leslie F. Sikos and published by Springer Nature. This book was released on 2020-02-05 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.

Text as Data

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Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering

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Publisher : CRC Press
ISBN 13 : 0429759398
Total Pages : 298 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering by : Rod D. Roscoe

Download or read book Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering written by Rod D. Roscoe and published by CRC Press. This book was released on 2019-10-16 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. Advancing Diversity, Inclusion, and Social Justice through Human Systems Engineering highlights how scholars and practitioners of HSE (inclusively defined to span many fields) can apply their theories and methods to understand and support healthy communities, include and empower diverse populations, and inspire strategies for a more inclusive future. This volume brings together experts from human factors, ergonomics, psychology, human-computer interaction, and more to demonstrate how these fields can be applied to societal challenges and solutions. Through a blend of research reports, literature reviews, and personal narratives, this volume explores these issues from the individual to the global scale, across diverse populations, and across multiple continents. Features Draws upon human factors and ergonomics theories and methods to evaluate, understand, and confront systemic threats to inclusion and social justice Offers actionable methodologies, strategies, and recommendations for conducting human-centered research, design, and training with marginalized or vulnerable populations Offers a venue for reporting and reconsidering the work of human factors and ergonomics from the perspectives of diversity, inclusion, and social justice

Stories, Storytellers, and Storytelling

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Publisher : Springer Nature
ISBN 13 : 3031072340
Total Pages : 317 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Stories, Storytellers, and Storytelling by : Tom Vine

Download or read book Stories, Storytellers, and Storytelling written by Tom Vine and published by Springer Nature. This book was released on 2022-12-15 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book advances social scientific interest in a field long dominated by the humanities: stories, and storytelling. Stories are a whole lot more than entertainment; oral narratives, novels, films and immersive video games all form part of the sociocultural discourses which we are enmeshed in, and use to co-construct our beliefs about the world around us. Young children use them to learn about the world beyond their immediate sensory experience and, even in an era of interactive electronic media, the bedtime story remains a cherished part of most children’s daily routine. Storytelling is thus the first abstract formal learning method we encounter as human beings. It is also probably transcultural; perhaps even an immanent part of the human condition. Narratives are, at heart, sequences of events and presuppose and reinforce particular cause-and-effect relationships. Inevitably, they also construct unconscious biases, prejudices, and discriminatory attitudes. Storying (a term we use in this book to encompass stories, storytellers and storytelling) is complex, and this book seeks to make sense of it.

Systems, Decision and Control in Energy V

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Publisher : Springer Nature
ISBN 13 : 303135088X
Total Pages : 813 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Systems, Decision and Control in Energy V by : Artur Zaporozhets

Download or read book Systems, Decision and Control in Energy V written by Artur Zaporozhets and published by Springer Nature. This book was released on 2023-08-08 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of 8 parts: Energy Informatics, Electric Power Engineering, Heat Power Engineering, Nuclear Power Engineering, Renewable Power Engineering, Fuels, Transport, and Environmental Safety. The results presented in this book are aimed at solving some of the technical issues proposed by the Ukraine Recovery Plan and other important scientific and applied problems in the field of energy. Scientists from leading Ukrainian academic institutions and universities are working on this book. This book is for scientists, researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with energy sector, power systems, ecological safety, etc.