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Reorientation of the Community-Engaged Research in the Era of COVID-19: Innovative Strategies for Adaptive Capacity Evaluation in the Vietnamese Mekong Delta.
- Source :
- International Journal of Qualitative Methods; 9/12/2023, p1-19, 19p
- Publication Year :
- 2023
-
Abstract
- The implementation of Community-engaged research (CenR) has faced many challenges in the context of the COVID-19 pandemic, especially when researchers are based in another part of the country or the world. This paper presents a researcher's initiative for implementing CenR in partnership with local universities, particularly engaging local students to become part of the communities and bridge the gap between researchers and communities. The project aims to engage local communities working in tourism services in assessing their adaptive capacity (AC) to climate change in the Vietnamese Mekong Delta (VMD). Notably, this study was conducted with the researchers being located in Taiwan while the research area was situated in the VMD. Methods used include field trips, in-depth interviews (IDIs), focus group discussions (FGDs), local workshops, and people participation geographic information system (PPGIS). Two groups of students at Kien Giang University (KGU) and Dong Thap University (DTU) (Vietnam) were involved. The article provides the process of engaging with local students, from searching and selecting them, to obtaining consents, engaging and building trust, training and guiding them in field trips, engaging with local communities, collecting and analyzing data, and developing future projects in those communities. The study offers a novel approach that can be extrapolated in the context of global system crises such as climate change, disasters, or emergency situations in remote areas that often experience limited connectivity with the outside world. By encouraging the creativity of students and researchers, this study promotes the continuity of research efforts even in times of uncertainty and crisis. [ABSTRACT FROM AUTHOR]
- Subjects :
- COVID-19 pandemic
GEOGRAPHIC information systems
CLIMATE change
TRUST
Subjects
Details
- Language :
- English
- ISSN :
- 16094069
- Database :
- Complementary Index
- Journal :
- International Journal of Qualitative Methods
- Publication Type :
- Academic Journal
- Accession number :
- 171924065
- Full Text :
- https://doi.org/10.1177/16094069231201506