Computational Conflict Research

Computational Conflict Research PDF

Author: Adalbert F X Wilhelm

Publisher: Saint Philip Street Press

Published: 2020-10-08

Total Pages: 268

ISBN-13: 9781013272585

DOWNLOAD EBOOK →

This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Computational Conflict Research

Computational Conflict Research PDF

Author: Emanuel Deutschmann

Publisher: Springer

Published: 2020-09-11

Total Pages: 0

ISBN-13: 9783030293352

DOWNLOAD EBOOK →

This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.

Computational Conflict Research

Computational Conflict Research PDF

Author: Emanuel Deutschmann

Publisher: Springer Nature

Published: 2019-11-09

Total Pages: 264

ISBN-13: 3030293335

DOWNLOAD EBOOK →

This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.

Militarized Conflict Modeling Using Computational Intelligence

Militarized Conflict Modeling Using Computational Intelligence PDF

Author: Tshilidzi Marwala

Publisher: Springer Science & Business Media

Published: 2011-08-24

Total Pages: 268

ISBN-13: 0857297902

DOWNLOAD EBOOK →

Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game theory. The inherent limitation of game theory when dealing with more than three players in a game is the main motivation for the application of computational intelligence in modeling conflict. Militarized interstate disputes (MIDs) are defined as a set of interactions between, or among, states that can result in the display, threat or actual use of military force in an explicit way. These interactions can result in either peace or conflict. This book models the relationship between key variables and the risk of conflict between two countries. The variables include Allies which measures the presence or absence of military alliance, Contiguity which measures whether the countries share a common boundary or not and Major Power which measures whether either or both states are a major power. Militarized Conflict Modeling Using Computational Intelligence implements various multi-layer perception neural networks, Bayesian networks, support vector machines, neuro-fuzzy models, rough sets models, neuro-rough sets models and optimized rough sets models to create models that estimate the risk of conflict given the variables. Secondly, these models are used to study the sensitivity of each variable to conflict. Furthermore, a framework on how these models can be used to control the possibility of peace is proposed. Finally, new and emerging topics on modelling conflict are identified and further work is proposed.

Handbook of Computational Approaches to Counterterrorism

Handbook of Computational Approaches to Counterterrorism PDF

Author: V.S. Subrahmanian

Publisher: Springer Science & Business Media

Published: 2012-12-12

Total Pages: 580

ISBN-13: 1461453119

DOWNLOAD EBOOK →

Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book’s website. This book targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful.

Computational Research in Ethnic and Migration Studies

Computational Research in Ethnic and Migration Studies PDF

Author: Emanuel Deutschmann

Publisher: Taylor & Francis

Published: 2024-11-08

Total Pages: 234

ISBN-13: 1040172245

DOWNLOAD EBOOK →

This book showcases the potential of computational approaches for research questions at the heart of migration and integration research via a set of original, cutting-edge empirical studies by a diverse, international team of authors. Why do people emigrate? Do weather conditions and climate change affect decisions to migrate? How do migration networks evolve on a global scale? Can we predict refugee movements? How do host communities respond to the influx of refugees? Do right-wing populist parties get stronger where lots of refugees are located? Do terror attacks lead to more hostility towards immigrants? What mechanisms explain neighborhood ethnic segregation? The collection of studies in this book harnesses the power of an emerging interdisciplinary research field known as computational social science to shed new light on such classic questions of migration and integration research. The cutting-edge empirical studies use a wide range of computational approaches, from agent-based modeling and network analysis to machine learning, natural language processing, and advanced spatial methods and cover detailed spatial, textual, and network data from both online and offline sources. The book thus demonstrates the potential of computational approaches for migration and integration research, while also discussing the challenges that arise in this emerging field. This book will be an invaluable resource for researchers, students of sociology, ethnic and migration studies, international politics, and computational social science. It was originally published as a special issue of the Journal of Ethnic and Migration Studies.

The Oxford Handbook of Intergroup Conflict

The Oxford Handbook of Intergroup Conflict PDF

Author: Linda Tropp

Publisher: Oxford University Press

Published: 2012-07-26

Total Pages: 402

ISBN-13: 0199747679

DOWNLOAD EBOOK →

With insightful chapters from key social psychologists and peace scholars, this handbook offers an integrative and extensive overview of critical questions, issues, processes, and strategies relevant to understanding and addressing intergroup conflict.

Contemporary Trends in Conflict and Communication

Contemporary Trends in Conflict and Communication PDF

Author: Jessica Katz Jameson

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2022-07-18

Total Pages: 239

ISBN-13: 3110687321

DOWNLOAD EBOOK →

Contemporary Trends in Conflict and Communication: Technology and Social Media examines the myriad ways conflict communication occurs in mediated spaces, whether through social media platforms such as Twitter, Facebook, and Instagram, on private social enterprise spaces, or through formal online dispute resolution (ODR) technologies. We were experiencing the increase of conflict communication in hybrid spaces prior to the COVID-19 pandemic, yet the global lockdown that shifted everyone to remote teaching, learning, and working heightened our attention to the impact of technology and social media on conflict dynamics. While social media is often implicated in the spread of alternative facts, false news, and intimidation, technology and new media also have the capacity to enhance and transform conflict communication in education, workplace, and socio-political settings. The contributors to this volume showcase cutting-edge research that helps us make sense of the times we are living in and is organized in three sections: (1) Using technology to promote dialogue and collaboration, (2) Conflict communication on social media, (3) Online conflict management in education, training, and practice. This collection is relevant to scholars of conflict studies as it highlights key trends and areas for future research to improve conflict communication, dialogue, and collaboration and proposes ideas for using technology and social media to transform and connect rather than polarize and divide.

A Computational View of Autism

A Computational View of Autism PDF

Author: Uttama Lahiri

Publisher: Springer Nature

Published: 2020-07-27

Total Pages: 180

ISBN-13: 3030402371

DOWNLOAD EBOOK →

This book first explains autism, its prevalence, and some conventional intervention techniques, and it then describes how virtual reality technology can support autism intervention and skills training. The approaches and technologies covered include immersive virtual reality, augmented reality and mixed reality. The tasks covered include emotion recognition, affective computing, teaching communication skills, imparting literacy skills, training for imitation skills, and joint attention skills. Most of the chapters assume no prerequisite knowledge of autism or virtual reality, and they are supported throughout with detailed references for further investigation. While the author is an engineer by profession, with specialist knowledge in robotics and computer-based platforms, in this book she adopts a user perspective and cites many real-life examples from her own experience. The book is suitable for students of cognitive science, and researchers and practitioners engaged with designing and offering technological assistance for special needs training.