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Published on: July 4, 2007
iGEM and Gene Drives: A Case Study for Governance
Piers Millett1, Tessa Alexanian1, Megan J Palmer1
1Piers Millett, PhD, is Vice President for Safety and Security and Tessa Alexanian is a Safety and Security Program Officer; both at iGEM Foundation, Cambridge, MA. Megan J. Palmer, PhD, is a Bio Policy and Leadership Initiatives and Adjunct Professor, Department of Bioengineering, Stanford University, Stanford, CA. Sam Weiss Evans, DPhil, is a Senior Research Fellow, Program on Science, Technology, and Society, Harvard University, Cambridge, MA. Todd Kuiken, PhD, is a Senior Research Scholar, Genetic Engineering and Society Center, North Carolina State University, Raleigh, NC. Kenneth Oye, PhD, is a Professor of Political Science and Director of the Program on Emerging Technologies, Massachusetts Institute of Technology, Cambridge, MA.
Abstract:
Gene drives have already challenged governance systems. In this case study, we explore the International Genetically Engineered Machine (iGEM) competition's experiences in gene drive-related research and lessons in developing, revising, and implementing a governance system. iGEM's experiences and lessons are distilled into 6 key insights for future gene drive policy development in the United States: (1) gene drives deserve special attention because of their potential for widescale impact and remaining uncertainty about how to evaluate intergenerational and transboundary risks; (2) an adaptive risk management approach is logical for gene drives because of the rapidly changing technical environment; (3) review by individual technical experts is limited and may fail to incorporate other forms of expertise and, therefore, must be complemented with a range of alternative governance methods; (4) current laboratory biosafety and biosecurity review processes may not capture gene drive research or its components in practice even if they are covered theoretically; (5) risk management for research and development must incorporate discussions of values and broader implications of the work; and (6) a regular technology horizon scanning capacity is needed for the early identification of advances that could pose governance system challenges.
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