Advancing Conflict Research Through Computational Approaches
| Autor: | Luis G. Nardin, Emanuel Deutschmann, Jan Lorenz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies Geographic information system business.industry Computer science Management science Scale (chemistry) 05 social sciences 0211 other engineering and technologies 02 engineering and technology Space (commercial competition) 16. Peace & justice Field (computer science) 0506 political science Power (social and political) Consolidation (business) Argument 050602 political science & public administration Computational sociology business |
| Zdroj: | Computational Social Sciences ISBN: 9783030293321 |
| DOI: | 10.1007/978-3-030-29333-8_1 |
| Popis: | Conflict, from small-scale verbal disputes to large-scale violent war between nations, is one of the most fundamental elements of social life and a central topic in social science research. The main argument of this book is that computational approaches have enormous potential to advance conflict research, e.g., by making use of the ever-growing computer processing power to model complex conflict dynamics, by drawing on innovative methods from simulation to machine learning, and by building on vast quantities of conflict-related data that emerge at unprecedented scale in the digital age. Our goal is (a) to demonstrate how such computational approaches can be used to improve our understanding of conflict at any scale and (b) to call for the consolidation of computational conflict research as a unified field of research that collectively aims to gather such insights. We first give an overview of how various computational approaches have already impacted on conflict research and then guide through the different chapters that form part of this book. Finally, we propose to map the field of computational conflict research by positioning studies in a two-dimensional space depending on the intensity of the analyzed conflict and the chosen computational approach. |
| Databáze: | OpenAIRE |
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