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Complex systems for the most vulnerable
Title / Series / Name
Publication Volume
Publication Issue
Pages
Editors
Keywords
complexity science
sustainable development goals
vulnerable populations
Information Systems
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence
sustainable development goals
vulnerable populations
Information Systems
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence
URI
https://hdl.handle.net/20.500.14018/26755
Abstract
In a rapidly changing world, facing an increasing number of socioeconomic, health and environmental crises, complexity science can help us to assess and quantify vulnerabilities, and to monitor and achieve the UN sustainable development goals. In this perspective, we provide three exemplary use cases where complexity science has shown its potential: poverty and socioeconomic inequalities, collective action for representative democracy, and computational epidemic modeling. We then review the challenges and limitations related to data, methods, capacity building, and, as a result, research operationalization. We finally conclude with some suggestions for future directions, urging the complex systems community to engage in applied and methodological research addressing the needs of the most vulnerable.
Topic
Publisher
Place of Publication
Type
Journal article
Date
2022-06-01
Language
ISBN
Identifiers
10.1088/2632-072X/ac60b1