| Frontiers in Environmental Science | |
| Mainstreaming civic tech and citizen sensing: a research agenda on co-creation methods, data interfaces, and impact pathways | |
| Environmental Science | |
| Yuya Shibuya1  Christoph Raetzsch2  Andrea Hamm3  | |
| [1] Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan;Department of Media and Journalism Studies, Aarhus University, Aarhus, Denmark;Weizenbaum Institute for the Networked Society, Research Group Digitalization, Sustainability, and Participation, Berlin, Germany; | |
| 关键词: civic tech; citizen sensing; citizen science; data journalism; comparative framework; data interface; civic data; | |
| DOI : 10.3389/fenvs.2023.1228487 | |
| received in 2023-05-24, accepted in 2023-07-31, 发布年份 2023 | |
| 来源: Frontiers | |
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【 摘 要 】
In this perspective article, we propose an interdisciplinary research agenda that addresses citizen science approaches embedded in civic tech initiatives and citizen sensing scenarios. The proposed agenda builds on the multi-level perspective framework (Geels, 2004; Geels, 2019) to inform research on how such ‘niche innovations’ like citizen sensing become mainstreamed in broader socio-technical systems and modes of governance. To support research across use case scenarios and make analyses more comparable internationally, we identify three core areas of interdisciplinary future research and practice development: 1) uses of co-creation methods to develop project objectives and align stakeholders; 2) designs of interfaces for gathering, communicating, and archiving civic data for different types of users; and 3) modeling impact pathways of individual projects that include civic tech activists and citizen scientists, academic researchers, journalists, and policymakers. For impact pathways, we highlight the importance of collaborations with data-driven approaches in journalism.
【 授权许可】
Unknown
Copyright © 2023 Raetzsch, Hamm and Shibuya.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202310109326849ZK.pdf | 619KB |
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