Social Simulation For A Digital Society
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| Author | : Diane Payne |
| Publisher | : Springer Nature |
| Total Pages | : 216 |
| Release | : 2019-11-18 |
| Genre | : Science |
| ISBN | : 3030302989 |
“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.
| Author | : Nitin Agarwal |
| Publisher | : Springer Nature |
| Total Pages | : 224 |
| Release | : |
| Genre | : |
| ISBN | : 3031722604 |
| Author | : Punziano, Gabriella |
| Publisher | : IGI Global |
| Total Pages | : 919 |
| Release | : 2021-09-03 |
| Genre | : Reference |
| ISBN | : 1799884740 |
Doing research is an ever-changing challenge for social scientists. This challenge is harder than ever today as current societies are changing quickly and in many, sometimes conflicting, directions. Social phenomena, personal interactions, and formal and informal relationships are becoming more borderless and disconnected from the anchors of the offline “reality.” These dynamics are heavily marking our time and are suggesting evolutionary challenges in the ways we know, interpret, and analyze the world. Internet and computer-mediated communication (CMC) is being incorporated into every aspect of daily life, and social life has been deeply penetrated by the internet. This is due to recent technological developments that increase the scope and range of online social spaces and the forms and time of participation such as Web 2.0, which widened the opportunities for user-generated content, the emergence of an “internet of things,” and of ubiquitous mobile devices that make it possible to always be connected. This implies an adjustment to epistemological and methodological stances for conducting social research and an adaption of traditional social research methods to the specificities of online interactions in the digital society. The Handbook of Research on Advanced Research Methodologies for a Digital Society covers the different strands of methods most affected by the change in a digital society and develops a broader theoretical reflection on the future of social research in its challenge to always be fitting, suitable, adaptable, and pertinent to the society to be studied. The chapters are geared towards unlocking the future frontiers and potential for social research in the digital society. They include theoretical, epistemological, and ontological reflections about the digital research methods as well as innovative methods and tools to collect, analyze, and interpret data. This book is ideal for social scientists, practitioners, librarians, researchers, academicians, and students interested in social research methodology and its developments in the digital scenario.
| Author | : Harko Verhagen |
| Publisher | : Springer Nature |
| Total Pages | : 520 |
| Release | : 2020-04-30 |
| Genre | : Mathematics |
| ISBN | : 3030341275 |
This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policy making. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science, and social simulation education. This collection gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policy making whereby modelling and the behavior of complex systems is key. The book will appeal to students, researchers and professionals in the various fields.
| Author | : Corinne Bieder |
| Publisher | : Springer Nature |
| Total Pages | : 100 |
| Release | : |
| Genre | : |
| ISBN | : 3031569954 |
| Author | : Zaremohzzabieh, Zeinab |
| Publisher | : IGI Global |
| Total Pages | : 301 |
| Release | : 2020-03-20 |
| Genre | : Business & Economics |
| ISBN | : 179982957X |
The integration of digital technologies into practice presents opportunities and challenges for the field of youth work. Digitalization procedures transform interactions with users, in addition to their needs. These also transform the organizations where youth workers are involved in professional practice. Adapting digital technological tools is a crucial challenge for the youth work profession. Youth Work in a Digital Society is an essential scholarly publication that explores how to overcome any challenges and issues facing youth development work in the digital age and to what extent modern digital technologies can contribute to empowering youth work practice. Featuring a wide range of topics such as digital inclusion, mobile technologies, and social media, this book is ideal for executives, managers, researchers, professionals, academicians, policymakers, practitioners, and students.
| Author | : Jens Martin Gurr |
| Publisher | : transcript Verlag |
| Total Pages | : 389 |
| Release | : 2022-09-30 |
| Genre | : Social Science |
| ISBN | : 3839463106 |
Metropolitan research requires multidisciplinary perspectives in order to do justice to the complexities of metropolitan regions. This volume provides a scholarly and accessible overview of key methods and approaches in metropolitan research from a uniquely broad range of disciplines including architectural history, art history, heritage conservation, literary and cultural studies, spatial planning and planning theory, geoinformatics, urban sociology, economic geography, operations research, technology studies, transport planning, aquatic ecosystems research and urban epidemiology. It is this scope of disciplinary - and increasingly also interdisciplinary - approaches that allows metropolitan research to address recent societal challenges of urban life, such as mobility, health, diversity or sustainability.
| Author | : Ying Tan |
| Publisher | : Springer Nature |
| Total Pages | : 553 |
| Release | : 2023-07-07 |
| Genre | : Computers |
| ISBN | : 3031366255 |
This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition.
| Author | : Nigel Gilbert |
| Publisher | : Routledge |
| Total Pages | : 285 |
| Release | : 2006-01-31 |
| Genre | : Social Science |
| ISBN | : 1135367302 |
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
| Author | : Nigel Gilbert |
| Publisher | : Routledge |
| Total Pages | : 320 |
| Release | : 2018-05-15 |
| Genre | : Social Science |
| ISBN | : 1351165119 |
The most exciting and productive areas of academic inquiry are often where the interests of two disciplines meet. This is certainly the case for the subject of this book, originally published in 1994, which explores the contribution that computer-based modelling and artificial intelligence can make to understanding fundamental issues in social science. Simulating Societies shows how computer simulations can help to clarify theoretical approaches, contribute to the evaluation of alternative theories, and illuminate one of the major issues of the social sciences: how social phenomena can "emerge" from individual action. The authors discuss how simulation models can be constructed using recently developed artificial intelligence techniques and they consider the methodological issues involved in using such models for theory development, testing and experiment. The introductory chapters situate the book within social science, and suggest why the time was ripe for significant progress, before defining basic terminology, showing how simulation has been used to theorize about organizations, and indicating through examples some of the fundamental issues involved in simulation. The main body of the text provides case studies drawn from economics, anthropology, archaeology, planning, social psychology and sociology. The appeal of this path-breaking book was twofold. It offered an essential introduction to simulation for social scientists and it provided case study applications for computer scientists interested in the latest advances in the burgeoning area of distributed artificial intelligence (DAI) at the time.
