- Groundwork
Citizen ethnography: co-producing evidence for development
Schmidt Mario, Eyre Ben, Abiero Osborn Otieno, Amongin Sarah, Ekaun Joel Hannington, Komakech Adoch Dorah, Oluoko Deborah, Omondi Abebe Rodgers, Opolo James, Osman Euphamia, Otieno Stephen, Parlaker Ann Gumkit
- May 5, 2025
- 4:03 pm

SECTOR
PROJECT TYPE
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BEHAVIORAL THEME
OVERVIEW
Global development research is changing. Alongside calls for better evidence about what is effective (Forscher & Schmidt, 2024), different stakeholders – from funders and research organizations to participants and beneficiaries – increasingly consider issues of equity and ethics. Questions about fair and just representation animate debates and inform innovations about how to do research, what it should aim at, and how to incorporate the insights of members of local communities who are first and foremost impacted by projects and interventions. Some of the longstanding issues that researchers grapple with include how to increase the relevance of local perspectives and voices in debates, and how to symmetrize and decolonize hierarchical knowledge production, which is too often still dominated by white funders and researchers making decisions about how to study and develop non-white communities.
THEMATIC AREAS
Anthropologists and ethnographers have long cultivated methods that benefit from closely aligning the processes of data collection and analysis. Traditionally, this alignment has been personified by the heroic white man (and sometimes woman) claiming unique insights into disadvantaged “others” by spending time with them and analysing their behavior. Citizen ethnography aims to emulate the strengths of ethnographic methods while breaking from past associations and blind spots of the disciplines in which they have developed. This destabilizes some of the most intractable hierarchies in development research. What does it involve? It recruits non-academic partners from communities where research is taking place to work as ethnographic researchers. We explain how in more detail. One key aim is to tear down the distinction between data production and data analysis. We do not believe in a division of labor whereby enumerators collect qualitative data “on the ground” and project managers or research specialists analyse the data in the offices.