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Perspectives

Translational governance research for synthetic biology

Pages 109-112 | Received 07 Nov 2014, Accepted 21 Dec 2014, Published online: 25 Feb 2015

Abstract

This article argues that ethical, legal, and societal implications research on synthetic biology should inform the processes and methods for the design and implementation of governance systems, as well as the policy and technological choices made within them. Historically, this type of work has fallen in the gap between practical policy-making and basic social science or humanities research. Little of it has been funded, yet it is one of the most critical areas for scholarly contributions to how technologies are formed and overseen in society. In this article, key areas for ‘translational governance research’ are proposed alongside foundations for integrating its results and methods into decision-making.

Synthetic biology (SB) involves multiple techniques and tools to design and engineer complex or artificial biological parts, devices, and systems to achieve useful or novel properties. It resembles other ‘big science’ fields like nanotechnology and genome sequencing; in that it garners significant investment from the federal government and is drawing attention to not only its promise for addressing societal problems, but also to concerns about its potential impacts and its focus on ‘re-engineering life’ (Breithaupt Citation2006; Calvert Citation2010; Endy Citation2005). Categories of SB include, but are not limited to, synthesized or artificial genes, systems of engineered biological parts, and synthetic organisms (Kuzma and Tanji Citation2010). Although there are not clearly recognizable products of SB in the market yet, microorganisms with highly engineered metabolic pathways to produce industrial or pharmaceutical compounds are now in use. More radical applications of SB, such as de-extinction of species or the creation of artificial cells, are emerging in the literature as successful in proof-of-concept stages. The ability to transform life is upon us, yet making societal decisions about what applications of SB are desirable to whom and under what conditions remains almost entirely in the hands of funders, the ‘free’ market, and companies. Many citizens and scholars have argued that decision-making processes need to be open to a wider range of experts, stakeholders, and interested parties, especially in democracies (e.g. Stirling Citation2008; Wilsdon and Willis Citation2004). It is in this context that ethical, legal, and societal issues (ELSI) research becomes crucial to our future with SB.

ELSI research is primed to play an important role in societal decision-making process for SB. Through disciplinary, multi- and inter-disciplinary work, it can inform processes and methods for the design and implementation of governance systems and the choices made within them. However, historically, this potential has not been realized. Other ELSI programs such as those associated with the National Nanotechnology Initiative or Human Genome Initiative have had marginal, ad hoc influences on debates and courses of action, but have neither been integrated into decision-making processes nor had long-lasting, transformative impacts on those scientific fields (Bennett and Sarewitz Citation2006; Cook-Deegan Citation1994; Fisher and Majahan Citation2006). Although ELSI research efforts have yielded a mass of data, information, and better understandings of socio-technological relationships, they have not been given equal standing to natural science or engineering research and have not focused on practical and complex problems requiring decisions at the researcher, company, local, national, or international levels. Simply put, the vast majority of ELSI research was neither translational nor integrated into society (e.g. Fisher Citation2005). Translational research is designed to make findings from basic science or scholarship (in this case the social sciences and humanities) useful for practical applications, such as decision-making. ELSI researchers have been operating as the biological sciences did 30+ years ago, by doing research in ‘labs’ without putting their ideas into the ‘marketplace’ for beneficial purposes. For example, even public engagement efforts have been primarily used for research and not designed to have input into important and current societal decisions. With a few exceptions, there remains disconnect between ELSI findings and information and what to do about the future of technology, specifically SB.

This is not entirely or even largely the fault of the ELSI research community. Practically inspired work does not traditionally get funded or rewarded. In the social sciences and humanities, ‘industries’ do not exist to carry the ball for use-inspired research and develop products or processes. Yet, if we want to better inform and potentially improve our future with emerging technologies, it is important that we conduct ELSI research that is translatable and integrated into decisions about funding, governance, communication, R&D, and technological deployment (Guston and Sarewitz Citation2002).Footnote1

Whether this translation occurs is a two-way street. Societal decision-makers at all levels and in multiple institutions should be receptive to learning from ELSI research. In turn, ELSI researchers should listen to the needs of practitioners and go out on the limb of engaged scholarship (van de Ven Citation2007). Along these lines, I propose the following work to set the stage for ELSI research to better inform society, and in turn for ELSI research to be better informed by society: (1) host a series of pre-funding conversations among multiple relevant interested and affected parties (citizens reps, subject-matter-experts, stakeholders, groups) about what kind of ELSI knowledge and information matters to them and could be used for decision-making at multiple levels (this workshop may be a start), (2) identify the broad kinds of research that can best gather that knowledge and information, innovating with methods, and cross-disciplinary approaches as needed, and (3) develop routinized and long-lasting governance systems to integrate ELSI research into societal decision-making in timely, meaningful, and concrete ways.Footnote2 In additional to laying the groundwork for translational ELSI work, these three areas also inspire research such as exploring mechanisms for conducting dialogues, developing mixed methods, and testing innovative governance systems.

In addition to the foundational work, I propose the following research areas for translational research. This list represents policy sciences work on governance systems, which currently has little place in the federal funding portfolio, yet it might be most important for making appropriate choices about SB:

  • Historical Analyses of Governance Systems

    1. Explore the use of multiple natural and social science and ethical criteria and how to integrate them to analyse the historical cases of governance and uncover patterns or features that are indicators of systems that lead to desirable outcomes for multiple stakeholders.

  • Experiments with Governance Systems Footnote3

    1. Test ways to anticipate and prepare for future technologies in governance systems with side-by-side comparisons of different features for these systems.

    2. Explore alternatives for engaging ‘interested and affected parties’ within these systems.

  • Methods to Deal with Uncertainty and Ambiguity in Governance

    1. Improve upstream methods within governance systems to explore a broad range of harms and benefits and characterize uncertainty.

    2. Test decision-science and future-studies approaches (scenario planning, Bayesian approaches, systems mapping, etc.) in governance systems.

  • Improve Ways to Explore Claims and Counterclaim in Contested Areas

    1. Develop balanced and more inclusive approaches for determining ‘weight of evidence’ and for ways to understand and mitigate bias in interpretations of evidence.

    2. Understand and acknowledge values behind multiple perspectives and interpretations of evidence.

    3. Explore assumptions, contradictions, and correlation arguments on multiple sides of controversies.

Policy sciences and governance systems research is a tough sell, especially in the context of declining federal funding and animosity for political science research, which could be associated with ELSI governance work. However, SB is an area of technological development that not only has the ability to greatly impact society, but also has the ability to fundamentally alter living things at their very core. There will be no stronger imperative for better integration of ELSI inquiry and research into societal decision-making.

Funding

This work was supported by the Genetic Engineering and Society Center at NCSU and the Alfred P. Sloan Foundation grant ‘Looking Forward to Synthetic Biology Governance’ (Kuzma PI).

Notes on contributor

Jennifer Kuzma is the Goodnight-NCGSK Foundation Distinguished Professor in the School of Public and International Affairs and co-director of the Genetic Engineering and Society center at North Carolina State University. She studies governance systems for emerging technologies using multidisciplinary approaches and methods and has published over 90 academic articles, book chapters, and reports related to emerging technologies and society.

Notes

1. I do not believe that all of ELSI research should be use-inspired or translational. Some basic ELSI research on theory and hypothesis testing needs to remain. It will be a balance. Perhaps start with a 50:50 split?

2. Note this does not mean ELSI researchers should ‘vote’ on societal decisions as in direct democratic fashion, but rather should have input into decisions – in other words, be seen and respectfully heard by those with power before decisions are made.

3. These exercises do not need to be ‘legally binding’, at least initially in the experimental stage, but should mimic conditions for direct input into decision-making authorities.

References

  • Bennett, I., and D. Sarewitz. 2006. “Too Little, Too Late? Research Policies on the Societal Implications of Nanotechnology in the United States.” Science as Culture 15 (4): 309–325. doi: 10.1080/09505430601022635
  • Breithaupt, H. 2006. “The Engineer's Approach to Biology.” EMBO Reports 7 (1): 21–24.
  • Calvert, J. 2010. “Synthetic Biology: Constructing Nature?” The Sociological Review 58 (s1): 95–112. doi: 10.1111/j.1467-954X.2010.01913.x
  • Cook-Deegan, R. 1994. The Gene Wars: Science, Politics and the Human Genome. New York: W.W. Norton & Company.
  • Endy, D. 2005. “Foundations for Engineering Biology.” Nature 438 (24): 449–453. doi: 10.1038/nature04342
  • Fisher, E. 2005. “Lessons Learned from the Ethical, Legal and Social Implications Program (ELSI): Planning Societal Implications Research for the National Nanotechnology Program.” Technology in Society 27 (3): 321–328. doi: 10.1016/j.techsoc.2005.04.006
  • Fisher, E., and R. L. Mahajan. 2006. “Contradictory Intent: U.S. Federal Legislation on Integrating Societal Concerns into Nanotechnology Research and Development.” Science and Public Policy 33 (1): 5–16. doi: 10.3152/147154306781779181
  • Guston, D. H., & D. Sarewitz. 2002. “Real-time Technology Assessment.” Technology in Society 24 (1): 93–109. doi: 10.1016/S0160-791X(01)00047-1
  • Kuzma, J., & T. Tanji. 2010. “Unpacking Synthetic Biology for Oversight Policy.” Regulation & Governance 4 (1): 92–112.
  • Stirling, A. 2008. Opening Up and Closing Down Power, Participation, and Pluralism in the Social Appraisal of Technology.” Science, Technology & Human Values 33 (2): 262–294.
  • Van de Ven, A. 2007. Engaged Scholarship: A Guide for Organizational and Social Research. Oxford: Oxford University Press.
  • Wilsdon, J., and R. Willis. 2004. See-through Science: Why Public Engagement Needs to Move Upstream. London: Demos.

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