Effective decision making to allocate public funds for energy technology research, development, and demonstration (R&D) requires considering alternative investment opportunities that can have large but highly uncertain returns and a multitude of positive or negative interactions. In this podcast, Gabriel Chan, Assistant Professor at the Humphrey School of Public Affairs at the University of Minnesota, explores the utility of applying new methods to improve the cost-effectiveness and environmental performance in a deliberative approach to energy R&D portfolio decision making.
This podcast was produced by CIVIOS, an initiative of the Humphrey School of Public Affairs at the University of Minnesota. Explore more of their work here.