Diversifying Large-Scale Participatory Science: The Efficacy of Engagement through Facilitator Organizations
Year: 2023
Type: article
Study design: Observational Study
Abstract: Large-scale, scientist-led, participatory science (citizen science) projects often engage participants who are primarily white, wealthy, and well-educated. Calls to diversify contributory projects are increasingly common, but little research has evaluated the efficacy of suggested strategies for diversification. We engaged participants in Crowd the Tap through facilitator organizations like historically Black colleges and universities (HBCUs), predominantly white institutions, high school science classrooms, and corporate volunteer programs. Crowd the Tap is a contributory project focused on identifying and addressing lead (Pb) contamination in household drinking water in the United States. We investigated how participant diversity with respects to race, ethnicity, and homeownership (a proxy for income) differed between participation facilitated through a partner organization and unfacilitated participation in which participants came to the project independently. We were also interested in which facilitators were most effective at increasing participant diversity. White and wealthy participants were overrepresented in unfacilitated participation. Facilitation helped increase engagement of people of color, especially Black and lower-income households. High schools were particularly effective at engaging Hispanic or Latinx participants, and HBCUs were important for engaging Black households. Ultimately, our results suggest that engagement through facilitator organizations may be an effective means of engaging diverse participants in large-scale projects. Our results have important implications for the field of participatory science as we seek to identify evidence-based strategies for diversifying project participants.
DOI: 10.5334/cstp.627
Authors: Danielle Lin Hunter, Valerie Johnson, Caren Cooper
Institutions: North Carolina State University, Shaw University
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: gold
Estimated APC paid: $613
Award: G8278458470
OpenAlex ID: W4387577931
