Topic
Responsible Research and Innovation
About: Responsible Research and Innovation is a research topic. Over the lifetime, 864 publications have been published within this topic receiving 13524 citations. The topic is also known as: RRI.
Papers
More filters
TL;DR: In this article, the authors present a framework for understanding and supporting efforts aimed at "responsibly innovation" in emerging science and innovation, which is a major challenge for contemporary democracies.
1,826 citations
TL;DR: The concept of responsible research and innovation has gained increasing EU policy relevance in the last two years, in particular within the European Commission's Science in Society programme, in the context of the Horizon 2020 Strategy as mentioned in this paper.
Abstract: The term responsible (research and) innovation has gained increasing EU policy relevance in the last two years, in particular within the European Commission’s Science in Society programme, in the context of the Horizon 2020 Strategy. We provide a brief historical overview of the concept, and identify three distinct features that are emerging from associated discourses. The first is an emphasis on the democratic governance of the purposes of research and innovation and their orientation towards the ‘right impacts’. The second is responsiveness, emphasising the integration and institutionalisation of established approaches of anticipation, reflection and deliberation in and around research and innovation, influencing the direction of these and associated policy. The third concerns the framing of responsibility itself in the context of research and innovation as collective activities with uncertain and unpredictable consequences. Finally, we reflect on possible motivations for responsible innovation itself.
1,085 citations
TL;DR: In this paper, a vision of responsible research and innovation and an implementation strategy for it is presented, along with a vision for responsible research in the field of software engineering. But the implementation strategy is not discussed.
Abstract: This paper outlines a vision of responsible research and innovation and develops an implementation strategy for it.
819 citations
02 Apr 2013
TL;DR: In this article, the authors present a framework for responsible innovation, based on four dimensions-anticipatory, reflective, deliberative, and responsive, to reflect on both the products and purposes of science and innovation.
Abstract: “Responsible innovation,” in reality, lacks definition and clarity, both in concept and practice. This chapter begins by emphasizing that science and innovation have not only produced understanding, knowledge, and value (economic, social, or otherwise), but also questions, dilemmas, and unintended impacts. It presents a framework for responsible innovation, based on four dimensions-anticipatory, reflective, deliberative, and responsive. The chapter emphasizes that this must be able to reflect on both the products and purposes of science and innovation. It reminds of the rich history in a number of fields of study, both theoretical and applied, which make a significant and important contribution both to the framing and definition of responsible innovation, and to how this is translated through the dimensions into practice. The chapter concludes with some closing thoughts on implementation, on how the embedding of responsible innovation as a genuinely transformative and constructive approach can be supported.
462 citations
TL;DR: In this paper, the authors present seventeen articles dealing with social, economic and institutional dynamics of precision farming, digital agriculture, smart farming or agriculture 4.0, and reveal new insights on the link between digital agriculture and farm diversity, new economic, business and institutional arrangements both on-farm, in the value chain and food system, and in the innovation system.
Abstract: While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature. There is hence lack of overview of how this field of study is developing, and what are established, emerging, and new themes and topics. This is where this article aims to make a contribution, beyond introducing this special issue which presents seventeen articles dealing with social, economic and institutional dynamics of precision farming, digital agriculture, smart farming or agriculture 4.0. An exploratory literature review shows that five thematic clusters of extant social science literature on digitalization in agriculture can be identified: 1) Adoption, uses and adaptation of digital technologies on farm; 2) Effects of digitalization on farmer identity, farmer skills, and farm work; 3) Power, ownership, privacy and ethics in digitalizing agricultural production systems and value chains; 4) Digitalization and agricultural knowledge and innovation systems (AKIS); and 5) Economics and management of digitalized agricultural production systems and value chains. The main contributions of the special issue articles are mapped against these thematic clusters, revealing new insights on the link between digital agriculture and farm diversity, new economic, business and institutional arrangements both on-farm, in the value chain and food system, and in the innovation system, and emerging ways to ethically govern digital agriculture. Emerging lines of social science enquiry within these thematic clusters are identified and new lines are suggested to create a future research agenda on digital agriculture, smart farming and agriculture 4.0. Also, four potential new thematic social science clusters are also identified, which so far seem weakly developed: 1) Digital agriculture socio-cyber-physical-ecological systems conceptualizations; 2) Digital agriculture policy processes; 3) Digitally enabled agricultural transition pathways; and 4) Global geography of digital agriculture development. This future research agenda provides ample scope for future interdisciplinary and transdisciplinary science on precision farming, digital agriculture, smart farming and agriculture 4.0.
440 citations