Nuclear Issues

The stunning revelation this week that CIA Director Mike Pompeo met with North Korea’s Kim Jong Un over Easter weekend is a stark reminder that the pieces of the puzzle posed by a nuclear North Korea are moving rapidly. According to President Trump’s Wednesday morning tweet, “Meeting went very smoothly and a good relationship was formed…Denuclearization will be a great thing for World, but also for North Korea!”

Most national security experts have criticized Trump’s decision to meet face-to-face with the North Korean leader at the beginning, rather than the end, of a long diplomatic process, and are predicting that the meeting will be a failure. In contrast, I see the potential for a significant win for the U.S. While forecasts about the unknown future are inherently uncertain, I sense the possibility of what I call a “six-win solution.”

Characterizing the future performance of energy technologies can improve the development of energy policies that have net benefits under a broad set of future conditions. In particular, decisions about public investments in research, development, and demonstration (RD&D) that promote technological change can benefit from (1) an explicit consideration of the uncertainty inherent in the innovation process and (2) a systematic evaluation of the tradeoffs in investment allocations across different technologies. To shed light on these questions, over the past five years several groups in the United States and Europe have conducted expert elicitations and modeled the resulting societal benefits. In this paper, the authors discuss the lessons learned from the design and implementation of these initiatives.

Each year, the Science, Technology, and Public Policy (STPP) Program at the Belfer Center for Science and International Affairs at the Harvard Kennedy School welcomes new pre- and post-doctoral fellows and visiting researchers to a select team of scholars exploring the critical role that science and technology play in everyday life.

Characterization of the anticipated performance of energy technologies to inform policy decisions increasingly relies on expert elicitation. Knowledge about how elicitation design factors impact the probabilistic estimates emerging from these studies is, however, scarce. We focus on nuclear power, a large-scale low-carbon power option, for which future cost estimates are important for the design of energy policies and climate change mitigation efforts. We use data from three elicitations in the USA and in Europe and assess the role of government research, development, and demonstration (RD&D) investments on expected nuclear costs in 2030.

Dramatic growth in nuclear energy would be required for nuclear power to provide a significant part of the carbon-free energy the world is likely to need in the 21st century, or a major part in meeting other energy challenges. This would require increased support from governments, utilities, and publics around the world. Achieving that support is likely to require improved economics and major progress toward resolving issues of nuclear safety, proliferation-resistance, and nuclear waste management. This is likely to require both research, development, and demonstration (RD&D) of improved technologies and new policy approaches.