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大众的动机:理解人们为何参与保护公民科学项目。

What motivates the masses: Understanding why people contribute to conservation citizen science projects.

作者信息

Maund Phoebe R, Irvine Katherine N, Lawson Becki, Steadman Janna, Risely Kate, Cunningham Andrew A, Davies Zoe G

机构信息

Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK.

James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK.

出版信息

Biol Conserv. 2020 Jun;246:108587. doi: 10.1016/j.biocon.2020.108587.

Abstract

Participation in conservation citizen science projects is growing rapidly and approaches to project design are diversifying. There has been a recent shift towards projects characterised by contributors collecting data in isolation and submitting findings online, with little training or opportunities for direct social interaction with other citizen scientists. While research is emerging on developing citizen science projects by optimising technological modalities, little consideration has been given to understanding what motivates individuals to voluntarily contribute data. Here, we use the Volunteer Functions Inventory, combined with open-ended questions, to demonstrate that the two strongest motivations underpinning participation, for both individuals who contribute data systematically (regularly;  = 177) and opportunistically (ad hoc basis;  = 218), are 'Values' and 'Understanding'. People take part in such projects because they have an intrinsic value for the environment and want to support research efforts (representing 'Values'), as well as wanting to learn and gain knowledge (signifying 'Understanding'). Unlike more traditional citizen science projects that involve specific training and considerable time investments, contributors to these newer types of project are not motivated by the potential to develop their career or opportunities for social interaction. The person-level characteristics of contributors considered in this study did not reliably forecast levels of motivation, suggesting that predicting high levels of motivation is inherently more complex than is often speculated. We recommend avenues for future research that may further enhance our understanding of contributor motivations and the characteristics that may underpin levels of motivation.

摘要

参与保护公民科学项目的人数正在迅速增长,项目设计方法也日益多样化。最近出现了一种转变,即项目的特点是参与者单独收集数据并在线提交结果,很少接受培训,也几乎没有机会与其他公民科学家进行直接的社会互动。虽然关于通过优化技术模式来开展公民科学项目的研究正在兴起,但对于理解是什么促使个人自愿贡献数据却很少有人关注。在这里,我们使用志愿者功能量表,并结合开放式问题,来证明对于系统(定期;n = 177)和机会主义(临时;n = 218)贡献数据的个人来说,参与的两个最强烈动机是“价值观”和“理解”。人们参与此类项目是因为他们对环境具有内在价值,并希望支持研究工作(代表“价值观”),同时也希望学习和获取知识(意味着“理解”)。与涉及特定培训和大量时间投入的更传统的公民科学项目不同,这些新型项目的参与者并非受职业发展潜力或社交互动机会的激励。本研究中考虑的参与者的个人层面特征并不能可靠地预测动机水平,这表明预测高动机水平本质上比通常推测的更为复杂。我们推荐了未来研究的途径,这可能会进一步增进我们对参与者动机以及可能支撑动机水平的特征的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2599/7263733/8d7f5e23db8e/gr1.jpg

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