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        Data Collection in Fragile States

        Innovations from Africa and Beyond

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        Contributor(s)
        Hoogeveen, Johannes (editor)
        Pape, Utz (editor)
        Language
        English
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        Abstract
        ‘This open access book addresses an urgent issue on which little organized information exists. It reflects experience in Africa but is highly relevant to other fragile states as well.’ —Constantine Michalopoulos, John Hopkins University, USA and former Director of Economic Policy and Co-ordination at the World Bank Fragile countries face a triple data challenge. Up-to-date information is needed to deal with rapidly changing circumstances and to design adequate responses. Yet, fragile countries are among the most data deprived, while collecting new information in such circumstances is very challenging. This open access book presents innovations in data collection developed with decision makers in fragile countries in mind. Looking at innovations in Africa from mobile phone surveys monitoring the Ebola crisis, to tracking displaced people in Mali, this collection highlights the challenges in data collection researchers face and how they can be overcome.
        URI
        http://library.oapen.org/handle/20.500.12657/22858
        Keywords
        Economics; Management science; Development economics; Big data; Sociology—Research; Economic theory; Africa—Economic conditions
        DOI
        10.1007/978-3-030-25120-8
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2020
        Classification
        Social research and statistics
        Economics
        Economic theory and philosophy
        Development economics and emerging economies
        Business mathematics and systems
        Pages
        243
        Rights
        https://creativecommons.org/licenses/by/3.0
        • Imported or submitted locally

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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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