Innovation has been defined as follows:
Innovation is an activity or process which may lead to previously unknown designs pertaining either to the physical world (e.g. designs of buildings and infrastructure), the conceptual world (e.g. conceptual frameworks, mathematics, logic, theory, software), the institutional world (social and legal institutions, procedures and organisation) or combinations of these, which—when implemented—expand the set of relevant feasible options for action, either physical or cognitive [3].
Innovation is widely regarded as the key ingredient to national economic success. For instance, China, the country which was most successful worldwide in terms of economic growth in 2013 (7.7 %) [4], recently launched structural adjustment policies to move from manufacturing growth towards a knowledge and innovation economy. In 2012, the 18th National Congress of the Communist Party of China proposed a reform of the science and technology system to improve the potential for innovations across all sectors [5].
As innovation has become central to economic success, policy makers and researchers are increasingly interested in understanding what factors enhance innovation. A range of descriptors have emerged for fields that examine the innovation process from knowledge creation to commercialisation (e.g. innovation studies, science studies, science and innovation studies, science and technology studies). One of the fields’ most prominent outputs is the Systems of Innovation approach. The three main Systems of Innovation approaches are the National Systems of Innovation approach (NSI), the Regional Systems of Innovation (RSI) approach and the Sectoral/Technological Innovation Systems approach (S-TSI; see Table 1).
Apart from the distinctions given in the above table, all three Systems of Innovation (SI) approaches share certain characteristics. They all place great emphasis on the learning process [6], in which all actors involved (e.g. firms, consumers, universities, public organisations) experience 'learning-by-doing' or learn from each other by exchanging knowledge. Systems of innovation are always defined as complex systems [7], stressing their non-linear, systemic, interactive and evolutionary character [8, 9]. Furthermore, the performance of all SI approaches is analysed in a similar way, namely through the ex-post, historical analyses of economic or innovative activity and knowledge diffusion [10]. Such analyses are holistic and interdisciplinary, bringing together scholars and analysts from various disciplines to account for the many and complex interactions in the system [6].
The attractiveness of SI approaches for policy makers is the fact that they can draw attention to strengths and weaknesses in the innovation system [11]. However, it is important to emphasise that SI approaches aim to be purely descriptive. These approaches investigate which actors belong to the system, which networks are formed, what the boundaries of the system are, which knowledge is generated and which internal dynamics can be observed [12]. In other words, whilst SI research might describe normative behaviour when found in the innovation process, it tries not by itself to generate any normative conclusions. For instance, policy makers could use research from innovation studies in making funding or tax incentive decisions, based on, for example, the reasoning that successful innovation systems have the potential to reduce unemployment and thereby poverty. For instance, a scheme that provides tax incentives to innovators who are most likely to be successful according to SI research could be defended with reference to job creation and its potential for poverty reduction.
However, innovation is not only seen as a desirable driver of economic growth and prosperity. It can also be highly contentious and even adversarial, particularly in the context of new and emerging technologies, where significant risks for humankind, the environment, local populations, and researchers can occur. It is in this context that the field of Technology Assessment (TA) has been developed [13] and enhanced [14] as a key mechanism to govern science and innovation. However, by contrast to the emergence of TA, which was highly expert-driven, newer concepts of innovation governance aim to involve more stakeholders in the innovation process.
In recent years, the new governance framework of RRI or Responsible Innovation (RI) has become prominent in Europe. The European Commission is highly active in supporting models which govern research and innovation in such a way that societal concerns and interests are taken into account. The ‘Science with and for Society’ (SWAFS) programme has produced one of the most influential RRI definitions in Europe.
RRI is an inclusive approach to research and innovation (R&I), to ensure that societal actors work together during the whole research and innovation process. It aims to better align both the process and outcomes of R&I, with the values, needs and expectations of European society. In general terms, RRI implies anticipating and assessing potential implications and societal expectations with regard to research and innovation [2].
The European Commission, which promotes RRI, is also the organisation which drives European competitiveness.
The European Commission places great emphasis on competitiveness, given its importance in creating jobs and growth in Europe. It works to mainstream industry-related competitiveness concerns across all policy areas [15].
It is noteworthy that RRI has been linked to increased economic competitiveness in a report published by the European Commission.
The consideration of ethical and societal aspects in the research and innovation process can lead to an increased quality of research, more successful products and therefore an increased competitiveness [3].
The European Commission has also issued a range of funding calls to provide more evidence on the link between RRI and increased economic competitiveness. For instance, the call “Responsible Research and Innovation in an industrial context”
aims to contribute towards the innovation and competiveness objectives of the Innovation Union and to enhanced ‘mainstreaming’ and standardisation of RRI and CSR processes at the EU and global level.Footnote 3
Hence, the approach to research and innovation promoted by the European Commission through their understanding of RRI is closely linked to economic competitiveness.
Another RRI definition developed in Europe by Rene von Schomberg defines RRI as a
[T]ransparent, interactive process by which societal actors and innovators become mutually responsive to each other with a view on the (ethical) acceptability, sustainability and societal desirability of the innovation process and its marketable products (in order to allow a proper embedding of scientific and technological advances in our society) [16].
Amongst academics, the most prominent definition of RRI, which was agreed by European and US authors in a joint publication, is “Responsible innovation is a collective commitment of care for the future through responsive stewardship of science and innovation in the present” [17]. In implementing responsive stewardship, the following four RRI dimensions are necessary, according to the authors: anticipation, reflection, deliberation and responsiveness.
What all three definitions of R(R)I have in common is that they demand the involvement of a variety of societal actors in the innovation process. They also stress the importance of care, responsiveness and aligning innovation with societal values and needs.
In this article, we will focus on one essential element from each definition and link them to nano-technology. From the SWAFS definition advocated by the European Commission, we will focus on societal needs, which we will interpret as global societal needs.
It might be asked why we would jump from the “needs… of European society” to the needs of global society. There are many reasons for doing so, including a large literature on cosmopolitanism, but we shall focus on two reasons that can be specifically related to nano-technology.
Considering only the needs of societies at a national or regional level within innovation governance frameworks disregards the responsibilities Northern states have, historically and currently, for the societal needs of Southern states. Thomas Pogge has successfully illustrated a network of obligations from North to South with concrete examples, which show that these duties do not derive from obligations of benevolence or charity [18]. Intellectual property rights are one instance where innovation governance frameworks systematically favour high income over low- and middle-income countries [19]. Hence, if innovation governance frameworks that structurally favour one set of agents, including nano-technology innovators, are already in place globally (such as the IPR system), one cannot reasonably limit the extension of another innovation governance framework (RRI) to favour the same set of agents yet again, by limiting it to only regional (European) significance.
More specifically, and in relation to nano-technology, it has been argued that “Nano-technology can be harnessed to address some of the world’s most critical development problems, … [including] challenges faced by the 5 billion people living in the developing world” [20]. Indeed, in a globalised world, one cannot reasonably ignore the potential of a technology for impacting on the lives of the most vulnerable people on Earth, by restricting a discussion on its development to the needs of European society. Hence, whilst we use one element from the SWAFS definition of RRI (needs), we believe that its restricted focus on Europe cannot be justified, and we therefore expand the scope of our discussion to be global.
From the von Schomberg definition, we will focus on societal desirability, which we define as follows: “An innovation is societally desirable, if it can benefit all human beings without discrimination”. One could ask why we interpret ‘societal desirability’ to relate to innovations that can benefit all human beings without discrimination. Is that not too demanding? Societal desirability is an inadequately defined term in the literature. Its strong advocate, Rene von Schomberg, has linked it to the right impacts and outcomes of research [16]. Trying to answer what such impacts and outcomes would be, he links societal desirability to the grand challenges of humankind, for instance, climate change, public health, pandemics and security [16].
That is one possible answer, but it is both more demanding than our suggestion and also restricts the number of societally desirable innovations even further. Our interpretation of societal desirability does at least leave the door open for innovations that have the potential to benefit all of humanity without addressing the grand challenges. For instance, Information and Communication (ICT) tools to improve pre-school learning have the potential to benefit all human beings without relating to a grand challenge of humanity. Hence, our take on the societal desirability criterion of RRI is less ambitious than Rene von Schomberg’s, and we therefore assume that taking it forward in this article is reasonably justifiable.
This is not to say however that all innovation has to be targeted in such a way that all of humankind must always potentially benefit from it. We believe that von Schomberg’s societal desirability criterion simply has the potential to widen the sphere of potential beneficiaries of research and innovation and that such an extension of the concept will distinguish highly responsible from less responsible innovation.
One could also ask whether societal desirability is not the same as ethical acceptability. Obviously, it is ethically acceptable for all of humankind to benefit from innovations without discrimination. And, after all, ethics is the study of all moral principles and systems as well as the study of right and wrong conduct. Hence, any researcher and innovator responsibilities could fall under this heading. However, to understand what RRI implies, it is important to divide it into more easily understandable pieces. Even though the above broad understanding of ethical acceptability is plausible, we shall use the term here in a more limited manner. For the purposes of this paper, ethical acceptability will be equated with the demand to not fundamentally transgress societal values, which includes compliance with research ethics (e.g. do not exploit research participants). This means it is understood in a limiting way, linked to “doing no harm”. By contrast, societal desirability is understood as “doing good”. For instance, Article 15 (1) of the UNESCO Declaration of Bioethics and Human Rights requires that
Benefits resulting from any scientific research and its applications should be shared with society as a whole and within the international community, in particular with developing countries [21].
This relates to societal desirability, whilst most other articles in the declaration relate more directly to ethical acceptability (e.g. Article 4 on harm, Article 6 on consent).
Thirdly, we will focus on responsiveness, which Owen et al. interpret as
[U]sing a ‘collective process of reflexivity to both set the direction and influence the subsequent trajectory and pace of innovation, through effective mechanisms of participatory and anticipatory governance. This should be an iterative, inclusive and open process of adaptive learning, with dynamic capability’ [17].
One might wonder what an iterative, inclusive and open process of adaptive learning with dynamic capability would look like; how expensive it would be; and how successful it could be. However, such questions are related directly to critiques of the definitions themselves. Here, we shall simply examine their application in our nano-technology case study.
Our first two RRI elements (societal needs, societal desirability) are therefore outcome or output based. The innovation output is intended to relate to global societal needs and have the potential to benefit all human beings without discrimination. The third RRI element we are considering here, responsiveness, describes the ideal process by which to define what counts as a global societal need and what counts as benefitting humankind without discrimination.