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        Designing Knowledge Economies for Disaster Resilience

        Case Studies from the African Diaspora

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        Contributor(s)
        Waldron-Moore, Pamela (editor)
        Collection
        Knowledge Unlatched (KU); Berghahn Migration & Development Studies 2021-2023
        Language
        English
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        Abstract
        Disaster research has been studied from many angles, seldom targeting its implications for vulnerable territories in Africa. Entities most subject to the effects of climate change are often undeveloped and located in disadvantaged regions. Post-disaster communities need to scrutinize the social, political, economic, and cultural structures that stagnate sustainable growth. Acknowledging that low economic development and high climate costs cannot coexist, this collected volume interrogates the challenge for disaster-prone territories to determine strategies for restructuring and redesigning their environment. This book proposes the creation of knowledge economies, whereby empowered communities may produce innovative knowledge translatable across the African diaspora.
        URI
        https://library.oapen.org/handle/20.500.12657/87132
        Keywords
        Science; Global Warming & Climate Change; Nature; Natural Disasters; Social Science; Anthropology
        DOI
        10.3167/9781805391708
        ISBN
        9781805391715, 9781805391708, 9781805394006
        Publisher
        Berghahn Books
        Publisher website
        https://berghahnbooks.com/
        Publication date and place
        2024
        Grantor
        • Knowledge Unlatched
        Imprint
        Berghahn Books
        Classification
        Climate change
        Natural disasters
        Anthropology
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Harvested from KU

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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