Supporting responsible research and innovation within a university-based digital research programme: Reflections from the “hoRRIzon” project

Virginia Portillo , Peter Craigon , Liz Dowthwaite , Chris Greenhalgh , Elvira Pérez-Vallejos
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引用次数: 1

Abstract

Integration of Responsible Research and Innovation (RRI) principles into a research project is key to ensure outputs are ethically acceptable and socially desirable. However, translating RRI principles into practice is challenging as there are no recipes that fit all projects. Drawing on interviews and case studies with researchers, external partners and support staff associated with two linked programmes of research addressing trustworthy autonomous systems and the ethical use of personal data, this reflective paper provides a bottom-up perspective on RRI as it is understood and “done” within the focussed, often relatively short, research projects that largely comprise the research programmes. Existing RRI frameworks and tools were found to provide useful resources for use in supported RRI activities. However, effective use is dependant on facilitation by experienced staff, and time pressure and timing within a project can limit the application of RRI. Research institutions and funding bodies could provide more practical and sustained support for RRI practice – throughout the research lifespan - including incentives for RRI and clearer RRI/RI roles and career pathways, helping to develop an embedded community of RRI practice throughout the digital research community and beyond.

在大学数字研究项目中支持负责任的研究和创新:“hoRRIzon”项目的反思
将负责任的研究与创新(RRI)原则纳入研究项目是确保产出在道德上可接受、在社会上可取的关键。然而,将RRI原则转化为实践是具有挑战性的,因为没有适合所有项目的方法。通过对研究人员、外部合作伙伴和支持人员的访谈和案例研究,这篇反思性论文提供了一个自下而上的视角,了解RRI,因为它是在主要组成研究计划的重点研究项目中被理解和“完成”的,通常相对较短。发现现有的区域研究中心框架和工具为支持的区域研究中心活动提供了有用的资源。然而,有效的使用依赖于有经验的员工的协助,而项目中的时间压力和时间限制可能会限制RRI的应用。研究机构和资助机构可以在整个研究周期内为RRI实践提供更实际和持续的支持,包括激励RRI和更明确的RRI/RI角色和职业路径,帮助在整个数字研究社区内外建立一个嵌入式RRI实践社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
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0
审稿时长
168 days
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