Organicity: Lessons from an Experimentation as a Service Model for Digital Civic Innovation

D. Wilson, Shane J. McLoughlin, M. Brynskov
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引用次数: 1

Abstract

In the paradigm of the Smart City, cities are embracing new digital technologies and data innovation to redefine their relationship to citizens and enterprise. Increasingly, cities are developing visions, strategies, and related digital masterplans and action groups with which to coordinate these efforts. The European Horizon 2020 funded OrganiCity project explored a new model for providing access to all citizens to collaboratively develop and test their ideas for managing and improving the urban environment using data. The people centred and data driven approach of the OrganiCity project developed an Experimentation as a Service (EaaS) model across 13 cities and with 43 experiments. In this paper, we describe the 4 key service pillars that emerged through designing a platform to enable experimentation and the associated engagement practices required to facilitate testing in a city. The service pillars are: systematic experimentation, co-creation, federated ethics & privacy, and management of liability & Intellectual Property Rights. The EaaS approach provided a low-risk service blueprint for city authorities to democratically source, test and support scaling-up innovative solutions to their city challenges. Analysis of experimenter’s projects highlighted the importance of shared infrastructure for reducing the barrier to entry for accessing the digital tools, but more importantly highlighted the investment required, and value of, the human resources required to facilitate the process of experimentation.
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有机:作为数字公民创新服务模式的经验教训
在智慧城市的范例中,城市正在拥抱新的数字技术和数据创新,以重新定义其与公民和企业的关系。越来越多的城市正在制定愿景、战略以及相关的数字总体规划和行动小组,以协调这些努力。欧洲地平线2020资助的有机项目探索了一种新模式,为所有公民提供访问机会,共同开发和测试他们使用数据管理和改善城市环境的想法。有机项目以人为本、数据驱动的方法在13个城市开展了43项实验,开发了一种实验即服务(EaaS)模型。在本文中,我们描述了通过设计一个平台来实现实验的4个关键服务支柱,以及促进城市测试所需的相关参与实践。服务支柱是:系统实验,共同创造,联合道德和隐私,以及责任和知识产权管理。EaaS方法为城市当局提供了一个低风险的服务蓝图,以民主的方式寻找、测试和支持扩大创新解决方案,以应对城市面临的挑战。对实验者项目的分析强调了共享基础设施对于降低使用数字工具的门槛的重要性,但更重要的是强调了促进实验过程所需的人力资源的投资和价值。
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