Mobilizing assets: Data-driven community development with refugees

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Asset Based Community Development (ABCD) is a promising approach for supporting community development in refugee communities. .is paper explores the feasibility and effects of a data-driven asset mapping system as a community building tool in a refugee camp. Guided by participatory community building methods, We push the bounds of established ABCD methods by engaging community participants throughout the entire process of designing and collecting, but also managing, analyzing, and potentially applying the asset data. We use mixed methods, which include field notes, surveys, and focus groups to investigate whether asset data can be mobilized by the community itself, rather than by staff, to address its challenges and, if so, possible strategies for community members to utilize such data. Our three findings include: 1. refugees in our study had the capacity to collect and up-And-download asset data, 2. However, they lack technical and statistical skills to utilize the data most effectively, and 3. Nevertheless, the process of collecting data contributed to a sense of community at the classroom level. Based on these findings, we offer several recommendations for use of data-driven ABCD in low-resource contexts.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Conference on Information and Communication Technologies and Development, ICTD 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352772
DOIs
StatePublished - Nov 16 2017
Event9th International Conference on Information and Communication Technologies and Development, ICTD 2017 - Lahore, Pakistan
Duration: Nov 16 2017Nov 19 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F132087

Other

Other9th International Conference on Information and Communication Technologies and Development, ICTD 2017
CountryPakistan
CityLahore
Period11/16/1711/19/17

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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