
Keywords: uncertainty
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Embracing Dynamic Models for Gene Drive ManagementA. J. Golnar, E. Ruell, A. L. Lloyd and K. M. Pepin, Trends in Biotechnology, 2020.![]() We describe how quantitative tools can reduce risk uncertainty, streamline empirical research, guide risk management, and promote cross-sector collaboration throughout the process of gene drive technology development and implementation. Keywords: decision making, gene drive models, gene drive synthetic, GMO, Population genetics, regulation, risk assessment, uncertainty |

Contact
David O’Brochta
Foundation for the
National Institutes of Health
geneconvenevi@fnih.org
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