ABSTRACT

Calls for a ‘systemic turn’ in Responsible Innovation and Responsible Research and Innovation (R(R)I) stem from unease with engagement research. Engagement research structures science-society interactions to align research and innovation processes with societal considerations. As this research often focuses on micro practices of actors at discrete events or in bounded environments, it tends to neglect the systemic nature of these processes. We introduce the innovation ecosystem concept to account for complexity, openness, and mutual learning in responsible innovation governance. Responsible innovation ecosystem governance refers here to the capacity of diverse actors to reflect on socio-ethical horizons in different streams of the ecosystem. For systems-level capacity building, we discuss three adaptations of Socio-Technical Integration Research (STIR): STIR workshops curated by engagement agents, multi-stream engagement through brokers, and a multi-method research design addressing networked responsibility. This methodological design introduces an ecosystem perspective in R(R)I engagement research.

摘要

呼吁对负责任的创新和负责任的研究与创新（R(R)I）进行“系统性转变”源于对参与性研究的不安。参与研究构建了科学与社会的互动，使研究和创新过程与社会考虑保持一致。由于这项研究通常关注参与者在离散事件或有限环境中的微观实践，因此往往忽视这些过程的系统性。我们引入创新生态系统概念来解释负责任的创新治理的复杂性、开放性和相互学习。负责任的创新生态系统治理在这里指的是不同参与者在生态系统不同流中反思社会伦理视野的能力。对于系统级能力建设，我们讨论了社会技术整合研究（STIR）的三种适应方式：由参与代理策划的 STIR 研讨会、通过经纪人的多流参与以及解决网络责任的多方法研究设计。这种方法设计在 R(R)I 参与研究中引入了生态系统视角。