Pathways Between Social Science And Computational Social Science

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Pathways Between Social Science and Computational Social Science

Author : Tamás Rudas,Gábor Péli
Publisher : Springer Nature
Page : 284 pages
File Size : 52,8 Mb
Release : 2021-01-22
Category : Social Science
ISBN : 9783030549367

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Pathways Between Social Science and Computational Social Science by Tamás Rudas,Gábor Péli Pdf

This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Pathways Between Social Science and Computational Social Science

Author : Tamás Rudas,Gábor Péli
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2021
Category : Electronic
ISBN : 3030549372

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Pathways Between Social Science and Computational Social Science by Tamás Rudas,Gábor Péli Pdf

This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Opportunities and Challenges for Computational Social Science Methods

Author : Abanoz, Enes
Publisher : IGI Global
Page : 277 pages
File Size : 44,5 Mb
Release : 2022-03-18
Category : Social Science
ISBN : 9781799885559

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Opportunities and Challenges for Computational Social Science Methods by Abanoz, Enes Pdf

We are living in a digital era in which most of our daily activities take place online. This has created a big data phenomenon that has been subject to scientific research with increasingly available tools and processing power. As a result, a growing number of social science scholars are using computational methods for analyzing social behavior. To further the area, these evolving methods must be made known to sociological research scholars. Opportunities and Challenges for Computational Social Science Methods focuses on the implementation of social science methods and the opportunities and challenges of these methods. This book sheds light on the infrastructure that should be built to gain required skillsets, the tools used in computational social sciences, and the methods developed and applied into computational social sciences. Covering topics like computational communication, ecological cognition, and natural language processing, this book is an essential resource for researchers, data scientists, scholars, students, professors, sociologists, and academicians.

Doing Computational Social Science

Author : John McLevey
Publisher : SAGE
Page : 556 pages
File Size : 42,9 Mb
Release : 2021-12-15
Category : Social Science
ISBN : 9781529737592

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Doing Computational Social Science by John McLevey Pdf

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.

Computational Thinking and Social Science

Author : Matti Nelimarkka
Publisher : SAGE
Page : 503 pages
File Size : 52,6 Mb
Release : 2022-11-30
Category : Social Science
ISBN : 9781529756302

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Computational Thinking and Social Science by Matti Nelimarkka Pdf

Whilst providing a fundamental understanding of computational social science, this book delves into the tools and techniques used to build familiarity with programming and gain context into how, why and when they are introduced. The overall focus is on helping you understand and design computational social science research, alongside delving into hands-on coding and technical instruction. Key features include: Further reading Exercises accompanied by sample code Programming examples in Scratch, Python and R Key concepts Chapter summaries With experience in course design and teaching, Matti Nelimarkka has a deep understanding of learning techniques within computational social sciences, with the main aim of blending researching, thinking and designing together to gain a grounded foundation for coding, programming, methodologies and key concepts.

Producing Cultural Change in Political Communities

Author : Holger Mölder,Camelia Florela Voinea,Vladimir Sazonov
Publisher : Springer Nature
Page : 300 pages
File Size : 54,8 Mb
Release : 2023-11-13
Category : Political Science
ISBN : 9783031434402

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Producing Cultural Change in Political Communities by Holger Mölder,Camelia Florela Voinea,Vladimir Sazonov Pdf

In light of many crises in the last two decades, including democratic recession, climate change, economic crises, and massive waves of migration affecting perceptions of security around the world, this book examines the impact of cultural change in political communities on the global political and security environment. Through various case studies of political communities around the world, the book analyzes contemporary responses to cultural change, often culminating in the rise of political populism and extremism. The book is divided into two parts and presents a foreword by Larry Diamond and an afterword by Eric Shiraev. The first part focuses on the micro-level of cultural change in political communities and discusses conflict mechanisms and the role of political participation in producing changes. The second part features studies on extremism and populism, analyzing their impact on cultural change in Europe. The book is intended for scholars and students in a variety of disciplines, including international relations, security studies, cultural studies, and related fields.

Computational Social Science

Author : Xiaogang Wu,Yongjun Zhang,Tianji Cai
Publisher : Taylor & Francis
Page : 193 pages
File Size : 43,8 Mb
Release : 2024-06-07
Category : Social Science
ISBN : 9781040036617

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Computational Social Science by Xiaogang Wu,Yongjun Zhang,Tianji Cai Pdf

This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data. The topics covered in this book include the surge of anti-China sentiment amid the COVID-19 pandemic, the nuances of E-governance, public opinion, authoritarian reactions, artistic innovation, and educational inequality. The chapters in this book provide important insights into how computational social science can be applied generally, but also underscore the importance of combining conventional sociological research with contemporary computational methods in the context of China studies. This cutting-edge volume will be valuable resource for researchers, scholars and practitioners of Sociology, China Studies and for those interested in computational approaches to the social sciences. The chapters in this book were originally published in Chinese Sociological Review.

Handbook of Computational Social Science for Policy

Author : Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe
Publisher : Springer Nature
Page : 497 pages
File Size : 48,6 Mb
Release : 2023-01-23
Category : Computers
ISBN : 9783031166242

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Handbook of Computational Social Science for Policy by Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe Pdf

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.

Computational Social Science

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 51,9 Mb
Release : 2016-03-07
Category : Political Science
ISBN : 9781316531280

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Computational Social Science by R. Michael Alvarez Pdf

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Handbook of Computational Social Science, Volume 1

Author : Uwe Engel,Anabel Quan-Haase,Sunny Liu,Lars E Lyberg
Publisher : Taylor & Francis
Page : 417 pages
File Size : 44,8 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9781000448580

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Handbook of Computational Social Science, Volume 1 by Uwe Engel,Anabel Quan-Haase,Sunny Liu,Lars E Lyberg Pdf

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 first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in 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 scientifi c and engineering sectors.

SOFSEM 2023: Theory and Practice of Computer Science

Author : Leszek Gąsieniec
Publisher : Springer Nature
Page : 401 pages
File Size : 46,5 Mb
Release : 2022-12-19
Category : Computers
ISBN : 9783031231018

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SOFSEM 2023: Theory and Practice of Computer Science by Leszek Gąsieniec Pdf

This book constitutes the conference proceedings of the 48th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2023, held in Nový Smokovec, Slovakia, during January 15–18, 2023. The 22 full papers presented together with 2 best papers and 2 best students papers in this book were carefully reviewed and selected from 43 submissions. This workshop focuses on graphs problems and optimization; graph drawing and visualization; NP-hardness and fixed parameter tractability; communication and temporal graphs; complexity and learning; and robots and strings.

Multi-Agent Systems

Author : Dorothea Baumeister,Jörg Rothe
Publisher : Springer Nature
Page : 462 pages
File Size : 44,9 Mb
Release : 2022-12-10
Category : Computers
ISBN : 9783031206146

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Multi-Agent Systems by Dorothea Baumeister,Jörg Rothe Pdf

This book constitutes thoroughly refereed and revised selected papers from the proceedings of 19th European Conference on Multi-Agent Systems, EUMAS 2022, held in Düsseldorf, Germany, during September 14–16, 2022. The 23 full papers included in this book were carefully reviewed and selected from 36 submissions. The book also contains 6 short summaries of talks from PhD students at the PhD day. The papers deal with current topics in the research and development of multi-agent systems.

Information, Communication and Computing Technology

Author : Jemal Abawajy,Joao Tavares,Latika Kharb,Deepak Chahal,Ali Bou Nassif
Publisher : Springer Nature
Page : 204 pages
File Size : 44,7 Mb
Release : 2023-09-15
Category : Computers
ISBN : 9783031438387

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Information, Communication and Computing Technology by Jemal Abawajy,Joao Tavares,Latika Kharb,Deepak Chahal,Ali Bou Nassif Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Information, Communication and Computing Technology, ICICCT 2023, held in New Delhi, India, during May 27, 2023. The 14 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: global platform for researchers, scientists and practitioners from both academia and industry to present their research and development activities in all the aspects of Pattern Recognition and computational Intelligence techniques.

ECAI 2023

Author : K. Gal,A. Nowé,G.J. Nalepa
Publisher : IOS Press
Page : 3328 pages
File Size : 41,8 Mb
Release : 2023-10-18
Category : Computers
ISBN : 9781643684376

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ECAI 2023 by K. Gal,A. Nowé,G.J. Nalepa Pdf

Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.