Download or read book Computational Conflict Research written by Adalbert F X Wilhelm and published by Saint Philip Street Press. This book was released on 2020-10-08 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Conflict Research written by Emanuel Deutschmann and published by Springer. This book was released on 2020-09-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Conflict Research written by Emanuel Deutschmann and published by Springer Nature. This book was released on 2019-11-09 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Militarized Conflict Modeling Using Computational Intelligence written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2011-08-24 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Conflicts written by Heinz J. Müller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together approaches from different subfields of artificial intelligence as well as adjoint disciplines in order to characterize a "computational model" of conflicts.
Download or read book Handbook of Computational Approaches to Counterterrorism written by V.S. Subrahmanian and published by Springer Science & Business Media. This book was released on 2012-12-12 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Oxford Handbook of Intergroup Conflict written by Linda Tropp and published by Oxford University Press. This book was released on 2012-07-26 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Programming for Peace written by Robert Trappl and published by Springer Science & Business Media. This book was released on 2006-03-08 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sadly enough, war, conflicts and terrorism appear to stay with us in the 21st century. But what is our outlook on new methods for preventing and ending them? Present-day hard- and software enables the development of large crisis, conflict, and conflict management databases with many variables, sometimes with automated updates, statistical analyses of a high complexity, elaborate simulation models, and even interactive uses of these databases. In this book, these methods are presented, further developed, and applied in relation to the main issue: the resolution and prevention of intra- and international conflicts. Conflicts are a worldwide phenomenon. Therefore, internationally leading researchers from the USA, Austria, Canada, Germany, New Zealand and Switzerland have contributed.
Download or read book The Oxford Handbook of the Economics of Peace and Conflict written by Michelle R. Garfinkel and published by OUP USA. This book was released on 2012-04-20 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook brings together contributions from leading scholars who take an economic perspective to study peace and conflict. Some chapters are largely empirical, exploring the correlates and quantifying the costs of conflict. Others are more theoretical, examining the mechanisms that lead to war or are more conducive to peace.
Download or read book Computational Frameworks for Political and Social Research with Python written by Josh Cutler and published by Springer Nature. This book was released on 2020-04-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs). Students will learn how to collect, manipulate, and exploit large volumes of available data and apply them to political and social research questions. They will also learn best practices from the field of software development such as version control and object-oriented programming. Instructors will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.
Download or read book Conflict and Multimodal Communication written by Francesca D'Errico and published by Springer. This book was released on 2015-03-17 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication—both verbal and non-verbal, within the context of a conflict—is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to manage it, in order to support the negotiation process. Particular attention is paid to the integration of human sciences findings with computational approaches, from the application of correct methodologies for the collection of valid data to the development of computational approaches inspired by research on verbal and multimodal communication. In the words of the trade unionist Pierre Carniti, "We should reevaluate conflict, since without conflict there is no social justice." With this in mind, this volume does not approach conflict simply as an obstacle to be overcome, but as a concept to be fully analyzed. The philosophical, linguistic and psychological aspects of conflict, once understood, can be used to promote conflict management as a means for change and social justice.
Download or read book Applications of Computational Intelligence in Multi Disciplinary Research written by Ahmed A. Elngar and published by Academic Press. This book was released on 2022-02-14 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research
Download or read book Computational Methods for Counterterrorism written by Shlomo Argamon and published by Springer Science & Business Media. This book was released on 2009-06-18 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern terrorist networks pose an unprecedented threat to international security. The question of how to neutralize that threat is complicated radically by their fluid, non-hierarchical structures, religious and ideological motivations, and predominantly non-territorial objectives. Governments and militaries are crafting new policies and doctrines to combat terror, but they desperately need new technologies to make these efforts effective. This book collects a wide range of the most current computational research that addresses critical issues for countering terrorism, including: Finding, summarizing, and evaluating relevant information from large and changing data stores; Simulating and predicting enemy acts and outcomes; and Producing actionable intelligence by finding meaningful patterns hidden in huge amounts of noisy data. The book’s four sections describe current research on discovering relevant information buried in vast amounts of unstructured data; extracting meaningful information from digitized documents in multiple languages; analyzing graphs and networks to shed light on adversaries’ goals and intentions; and developing software systems that enable analysts to model, simulate, and predict the effects of real-world conflicts. The research described in this book is invaluable reading for governmental decision-makers designing new policies to counter terrorist threats, for members of the military, intelligence, and law enforcement communities devising counterterrorism strategies, and for researchers developing more effective methods for knowledge discovery in complicated and diverse datasets.
Download or read book Contemporary Trends in Conflict and Communication written by Jessica Katz Jameson and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-07-18 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Stem steam computational thinking and coding Evidence based research and practice in children s development written by Stamatios Papadakis and published by Frontiers Media SA. This book was released on 2023-03-13 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Strategic Communication and its Role in Conflict News written by Marc Jungblut and published by Springer Nature. This book was released on 2020-01-13 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marc Jungblut extends existing knowledge on the role of strategic communication in conflict news by examining four violent conflicts. He relies on an automated content analysis of texts by 52 strategic communicators, such as politicians, NGOs, social movements, as well as on the international news coverage in 17 media outlets. By analyzing over 80,000 texts in seven languages, the book demonstrates that media visibility is almost exclusively granted based on ethnocentrism and elite status. The journalistic framing of conflict events, however, is much more context-dependent and shows a higher degree of independence from elite voices and strategic communication in general.
Download or read book Modeling Conflict Dynamics with Spatio temporal Data written by Andrew Zammit-Mangion and published by Springer Science & Business Media. This book was released on 2013-09-30 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and ecology, and provide a predictive framework which is able to assimilate data and give confidence estimates on the predictions. The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years. The target audience primarily comprises researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
