Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 548031
Title Using Mobile Methods to Trace Networks and Connections: Environmental Migration in the Digital Age
Author(s) Boas, I.J.C.
Source In: SAGE Research Methods Cases Part 2 Sage - ISBN 9781526466730
DOI https://doi.org/10.4135/9781526466730
Department(s) WASS
Environmental Policy
Publication type Peer reviewed book chapter
Publication year 2019
Abstract This case reflects on the use of mobile methods in a study of environmental migration. Environmental migration refers to the movement of people in the context of environmental impacts and changes (e.g., storms, droughts, sea-level rise). I studied how this phenomenon takes shape in the digital age. In the digital age, people may be increasingly connected and have more means to exchange information, shaping migrants’ mobility decisions. I conducted this research in Bangladesh and Kenya. Mobile methods concentrate on movement, connections, and networks, and are therefore a good fit for my study focused on migration and digital connectivity. Instead of staying in one or few places during fieldwork, the idea is to follow the connections, to move along with them, and to understand how movement and networking play out in practice. In this case, I reflect on the benefits and the difficulties of using mobile methods by discussing how I used them during my field research in Bangladesh. I stress the benefits of adopting an inductive approach to such research and the need to always be reflexive toward the application of a particular method. In that way, it is possible to adjust to empirical realities and thereby more strongly fulfil the set research objectives.
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