Abstract

Introduction
Responsible innovation (RI) is a new concept and practice that examines not only the contents of science but also the frames and framings of knowledge coproduction, that is, epistemology of, and how we do science. RI recognizes that the governance of science and technology is a society-wide endeavor that cannot be limited to governmental control, scientific autonomy, or privatization. RI requires scientific and innovation processes to be continually responsive to a wide variety of societal inputs, signals, and values, and places sociotechnical integration at its epicenter. RI invites us to ponder upon important questions such as “what kind of society we wish to live in” and “how can we make science more democratic, experiential, and broadly relevant?” There is evidence that laboratory research thrives much better upon integration with natural and social sciences, enhancing the creative processes in the laboratory and helping generate novel ideas in scientific practice (https://doi.org/10.1038/4631018a).
As a journal of integrative biology that advocates for systems approaches to health care innovation, the ethos and practices of RI and sociotechnical integration are, therefore, of direct relevance to OMICS readership.
OMICS is pleased to feature this month an exciting interview with Justine Lacey on the rise of RI in Australian science and innovation ecosystem. This interview is of particular interest to governance of emerging technologies featured in the May issue on digital health, artificial intelligence (AI), and automation. Justine is heading the Responsible Innovation Future Science Platform at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. CSIRO's Future Science Platforms aim to develop the early stage science that underpins disruptive innovation for Australia and internationally. Justine has spent many years studying various national and epistemological approaches to RI and funding of science and innovation in ways attuned to societal values and priorities.
This interview is conducted by Erik Fisher. Erik is associate professor in the School for the Future of Innovation in Society and the Consortium for Science, Policy and Outcomes at Arizona State University. He is also Editor-in-Chief of the Journal of Responsible Innovation. OMICS readers are already familiar with Erik's leadership in RI and sociotechnical integration research (https://doi.org/10.1089/omi.2018.0066).
OMICS has championed integrative science and building strong bridges between science and society for the past decade as a journal of integrative biology (http://doi.org/10.1089/omi.2019.0220). We thank Justine and Erik for sharing their thoughts, vision, and the latest in RI and life sciences interface in Australia with OMICS readership.
For these reasons, in late 2017, Australia's national science agency established a new multi-year research program, the Responsible Innovation Future Science Platform, to oversee a targeted investment in this area for Australia. This was a commitment to better understanding the interface of science and society as a pathway for maximizing the positive impacts for society from investment in scientific research. This platform also focuses on embedding RI in areas of future science from synthetic biology and AI through to precision health and digital agriculture. These are areas of cutting-edge science that we anticipate will disrupt our industries and broader society.
However, alongside CSIRO's investment, we have also seen RI used by the Australian Council of Learned Academies as a recommended approach to the development of synthetic biology research and industries in their outlook report to 2030; by the Australian Academy of Sciences as a framework to provide Australian citizens with greater confidence in science; and by the Australian Human Rights Commission in identifying the RI organization needed to guide the development of AI for Australia. In just the past 3 years, this shows how RI has been adopted across significant institutions in this country for a range of areas of scientific innovation, but there is still a need to examine what this means in practice.
For example, in Australia we are currently examining how science and technology is playing an increasingly critical role in protecting some of our most significant environmental assets, such as the Great Barrier Reef, what it means to better prepare and respond to bushfires under a changing climate, and how we can better manage the biodiversity and conservation of our vast natural landscapes. The way we design science and technologies to respond to these issues impacts on communities, industries, the environment, and wildlife, so it is important we get it right. Scientific interventions need to not only be socially and culturally acceptable, they also need to be ecologically sound, ethical, and financially responsible. Increasingly, our major national scientific research programs are reflecting this commitment by incorporating the views and expectations of communities, Traditional Owners, and other key stakeholders in their design. In this way, we can better understand not only how these groups assess the risks and benefits of proposed scientific and technological interventions for environmental management, but they can also be involved in helping to inform and prioritize how such actions are taken so they meet broader community expectations.
Australian Indigenous knowledge plays a key role in these responses, and some of our colleagues are currently working alongside Traditional Owners and Indigenous rangers in Kakadu National Park in northern Australia to use AI as a complement to Traditional Indigenous knowledge for conservation. Their collaborative approach and willingness to arrange science and technology differently in the landscape are helping to solve complex environmental challenges and pioneering new environmental solutions for northern Australia. It also demonstrates how we can bring RI approaches to all corners of this landscape by thinking and working differently.
In my view, what is common about the Australian approach to RI is that we are committed to adopting an empirically based and data-driven approach so that we can share any insights we develop back to our colleagues in the rest of the world. The challenges I have touched on here—coral bleaching, wildfires, and threatened species—are globally shared.
As scientists, identifying this explicitly pushes our scientific practice to be relevant, meaningful, and useful outside of our own professions and research interests. I am very fortunate to work in an applied research environment where it is the norm to have teams of biological, physical, computer, and social scientists working alongside each other, and the real global or grand challenges of our time are rarely the domain of a single discipline anymore. CSIRO is particularly good at defining and mapping its future science investments, requiring clearly articulated impact pathways out to 2030 for each of its future science platforms. These impact pathways identify not only the science we hope to deliver, but also the key partners and stakeholders that are essential to delivering the impact of that science.
The demand for transdisciplinary science that draws on the knowledge and input of a broader range of perspectives is growing and the demand for science that is inclusive of and responsive to wider public interests is certainly increasing in importance for our government and industry partners. RI allows us to design our science to be responsive to this demand, but in a rigorous and scientific way. The intent from the start has been to create a joined-up and inclusive approach to RI in Australia and bring together interested parties so that we can advance this field collaboratively to create critical mass.
So, the potential for new science and novel insights is great, but there are many questions about not only how we can but also how we should use and analyze these big data sets—and to what end? Some of the richest work that my team is currently engaged with is working alongside our colleagues who are working at the intersection of genomics and bioinformatics, developing the models and insights used by health practitioners. Integrative biologists, biomedical scientists, and health professionals are those grappling with the challenges of data ownership, privacy, and consent, along with the fact that genomic data can never truly be anonymized and this poses specific challenges for security and surveillance of citizens. Through these collaborations we are examining the tradeoffs that come with a pace of advancement that has the potential to create unintended risk in the overall system. The end game, however, is to ensure our scientific innovations always focus on and contribute to a fairer and more prosperous society, and what, if anything, we need to do differently now to ensure that is the case over the longer term.
Footnotes
Disclaimer
The views expressed are the personal opinions of the authors only.
Author Disclosure Statement
The authors declare there are no competing financial interests.
