Engaging Solidarity in Data Collection Practices for Community Health
By Azra Ismail, Neha Kumar. 2018
87 citations recorded by the source corpus.
Researchers and practitioners engaged in global health are increasingly turning to data-driven approaches. However, the institutionalized roles and responsibilities---as well as motivations and workflows---of those involved in data collection are not well understood. To attain a deeper understanding of the practices of frontline health workers engaged in data collection, we conducted fieldwork in underserved contexts of Delhi, India. In particular, we interviewed these workers and observed their interactions with 200 households. Our analysis takes a postcolonial feminist perspective to examine how these frontline health workers navigate the multiple demands placed on them by their families, society, local residents, and health organizations. We also discuss how they practice feminist solidarity, and distill lessons for improved data collection across global health initiatives.
Subfields: Health, Infectious Diseases, Information Systems
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In Information Systems
Citations in the corpus
- “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021, background): “Some AI practitioners were aware of, and explicitly discussed problematic incentives for their data collectors or domain experts, and shared how they were resource-constrained (echoing Ismail and Kumar [58]).”