Abstract

Many citizen science (CS) programs aim to grow and sustain a pool of enthusiastic participants who consistently contribute their efforts to a specific scientific endeavor. Consequently, much research has explored CS participants’ motivations and their relationship to participant recruitment and retention. However, much of this research has focused on actively participating citizen scientists. If researchers want to elucidate the relationship between participant factors (such as demographics and motivations) and participant retention, it is necessary to develop a more comprehensive picture of the different degrees of participation in CS. This paper presents a framework for classifying participation throughout the participant’s engagement in a CS project/program. We suggest a CS participation model that captures the dynamic nature of participation across an arc of volunteering. Called the Nibble-and-Drop Framework, the model describes multiple exit points and stages of contribution typical of participation in a CS program. Applying the framework to the NASA GLOBE Observer (GO) CS program, we found that it captured the dynamics of participation in a global-scale, mobile, app-based, contributory-style CS project. The framework guided our analysis of how different participant factors correlate with degrees of participation. We found that participants were motivated to initially participate because they wanted to contribute to NASA research and science. Participants who dropped out of the program at various points often initially engaged through specific collection events and did not feel the need to continue contributing beyond the event; other drop-outs doubted whether their contributions were meaningful, showing again the need to ensure that participants understand the value of their engagement in a CS project.

Highlights

  • Citizen science (CS) programs provide a critical opportunity for researchers and practitioners in STEM fields to connect to the general public for mutual benefit

  • Methods used to validate the framework We tested the usability of the framework by using it to classify the degrees of participation for GLOBE Observer (GO), and we examined the relationships between the degrees of participation of GO volunteers and the three participant factors described above—demographics, initial awareness, and motivations

  • The Nibble-and-Drop Framework was developed to provide a common language around typical recruitment and retention issues in volunteerism, translated to CS

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Summary

Introduction

Citizen science (CS) programs provide a critical opportunity for researchers and practitioners in STEM fields to connect to the general public for mutual benefit. This paper presents a framework for understanding volunteer participation dynamics that elucidates the varied ways in which volunteers try out CS programs (nibble) and recognizes that for many participants, there might be a natural end to any particular volunteer activity (drop). The Nibble-and-Drop Framework provides an overall language and structure for describing participation dynamics, and allows researchers and practitioners to develop reasonable expectations for a particular CS program’s participation dynamics. In the majority of CS projects, scientists provide opportunities and structures within which volunteers can engage in the scientific process, strengthen connections to their local community, become more scientifically literate, increase self-efficacy for doing science, and increase their social well-being (Bonney et al 2015; Jordan, Gray, and Howe 2011). Scientists benefit as participants contribute to their research or monitoring programs through data collection, analysis, and at times program design and research-question development, contributing in crucial ways to positive scientific outcomes (Abdulkarim, Kamberov, and Hay 2014; Bonney et al 2009; Couvet et al 2008; Gouveia et al 2004; Tulloch et al 2013; Dickinson, Zuckerberg, and Bonter 2010; Silvertown 2009)

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