Embracing Dynamic Models for Gene Drive Management

Robust methods of predicting how gene drive systems will interact with ecosystems is essential for safe deployment of gene drive technology. 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.

Automated summary

Robust methods of predicting how gene drive systems will interact with ecosystems are important for safe deployment of gene drive technology. Quantitative tools can help reduce risk uncertainty, streamline empirical research, guide risk management, and promote cross-sector collaboration in the development and implementation of gene drive technology.