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Computational conflict research

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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.

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Availability

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Detail Information

Series Title

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Call Number

300.00285 COM c

Publisher

Cham, Switzerland : Springer Open., 2020

Collation

xviii, 264p. : ill

Language

English

ISBN/ISSN

9783030293338

Classification

300.00285

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Terrorism
Data mining
Social sciences—Data processing
Social sciences—Computer programs
Peace

Specific Detail Info

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Statement of Responsibility

edited by Emanuel Deutschmann, et.al.

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