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Proceedings Of The 2022 Conference Of The Computational Social Science Society Of The Americas
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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.
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.
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.
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.
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.
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.
Book Synopsis Multi-Agent-Based Simulation XXIV by : Luis G. Nardin
Download or read book Multi-Agent-Based Simulation XXIV written by Luis G. Nardin and published by Springer Nature. This book was released on with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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.
Book Synopsis Human Factors and Simulation by : Julia Wright
Download or read book Human Factors and Simulation written by Julia Wright and published by AHFE Conference. This book was released on 2024-07-24 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.
Book Synopsis Human Factors in Cybersecurity by : Abbas Moallem
Download or read book Human Factors in Cybersecurity written by Abbas Moallem and published by AHFE Conference. This book was released on 2024-07-24 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.
Book Synopsis Doing Computational Social Science by : John McLevey
Download or read book Doing Computational Social Science written by John McLevey and published by SAGE. This book was released on 2021-12-15 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Book Synopsis Peace Studies for Sustainable Development in Africa by : Egon Spiegel
Download or read book Peace Studies for Sustainable Development in Africa written by Egon Spiegel and published by Springer Nature. This book was released on 2022-10-26 with total page 791 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a snapshot of a major challenge, and shares subjective views on various areas of conflict in Africa and the diverse – theoretical and practical – efforts to achieve peace. Following an essential review of several real-world conflict contexts on the African continent and attempts to come to terms with them critically as a first step, the book explores the lessons learned to date with regard to peace studies in Africa.
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.
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
Book Synopsis International Handbook of Engineering Education Research by : Aditya Johri
Download or read book International Handbook of Engineering Education Research written by Aditya Johri and published by Taylor & Francis. This book was released on 2023-05-23 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook offers a broad overview of contemporary research on engineering education and its practical application. Over the past two decades, the field of engineering education research (EER) has become a vibrant and impactful community with new journals, conferences, and doctoral and research programs established across the globe. The increased interest in this area has helped improve the education and training of the next generation of engineers, as well as supporting growth in the use of technology for teaching and learning, increased attention to broadening participation, diversity and inclusion in the field, and a wide international expansion of the field. Drawing on the work of 100 expert contributors from over 20 countries, this volume covers both emergent and established areas of research within engineering education, giving voice to newcomers to the field as well as perspectives from established experts. Contents include: Sociocognitive and affective perspectives on engineering education. Technology and online learning in engineering education. Cultural and ethical issues including diversity, equity, and inclusion in engineering education. Curriculum design, teaching practices, and teacher education at all levels. Research methods and assessment in engineering education. This book offers an innovative and in-depth overview of engineering education scholarship and practice, which will be of use to researchers in engineering education, engineering educators and faculty, teacher educators in engineering education or STEM education, and other engineering and STEM-related professional organizations. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Book Synopsis Computational Social Science by : Dan Dobrota
Download or read book Computational Social Science written by Dan Dobrota and published by Taylor & Francis. This book was released on 2022-07-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings publish selected papers from the 2nd International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; the other is on the use of computational techniques. Finally, some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.
