Aarhus University, Department of Political Science, Danish Centre for Studies in Research and Research Policy, Bartholins Allé 7, DK - 8000 Aarhus C, Denmark.
Eval Program Plann. 2023 Oct;100:102350. doi: 10.1016/j.evalprogplan.2023.102350. Epub 2023 Jul 6.
The evaluation of Responsible Research and Innovation (RRI) actions presents important challenges for the key stakeholders engaged in the process of RRI implementation, such as policy makers, programme managers, and researchers. While there is a considerable body of literature on the conceptualization of responsibility in research and a plethora of attempts to practice RRI, there is a need for increased attention to the monitoring and evaluation of case studies of RRI implementations in research organisations, in particular regarding their structural change effects. This paper aims to discuss a contextualised developmental framework for evaluating RRI implementation in research organisations, with a specific focus on achieving structural change through tailor-made action plans. The framework, developed through RRI evaluation work in the field of biosciences, adopts a systemic and process-oriented perspective, encompassing participatory, anticipatory, reflexive, and responsive dimensions. Concrete empirical examples from bioscience organizations are provided to illustrate how the framework relates to specific conditions, experiences, and solutions, demonstrating how conceptual insights have emerged from real-life practices and data analysis. While the framework was initially customized for the specific contexts of six bioscience research organizations, it holds potential for broader relevance and applicability in addressing challenges related to RRI design, implementation, and evaluation.
评估负责任的研究与创新（RRI）行动对参与 RRI 实施过程的主要利益相关者提出了重要挑战，例如政策制定者、项目管理人员和研究人员。虽然关于研究中的责任概念化有相当多的文献，并且有很多尝试实践 RRI 的方法，但需要更加关注研究组织中 RRI 实施的案例研究的监测和评估，特别是关于其结构变革效应。本文旨在讨论一个针对研究组织中 RRI 实施的情境化发展框架，重点是通过定制的行动计划实现结构变革。该框架是通过生物科学领域的 RRI 评估工作开发的，采用系统和面向过程的视角，包括参与性、前瞻性、反思性和响应性维度。提供了来自生物科学组织的具体实证示例，说明框架如何与特定条件、经验和解决方案相关联，展示了概念性见解如何从实际实践和数据分析中涌现出来。虽然该框架最初是为六个生物科学研究组织的特定背景定制的，但它具有在解决与 RRI 设计、实施和评估相关的挑战方面具有更广泛的相关性和适用性的潜力。
