Nuclear Issues

Calder Walton says both seek to topple the United States from atop world stage, with China's blend of money, influence, all-hands-on-deck approach posing the greater threat.

As the best documented major crisis in history, in substantial part because Kennedy secretly taped the deliberations in which he and his closest advisers were weighing choices they knew could lead to a catastrophic war, the Cuban missile crisis has become the canonical case study in nuclear statecraft. Over the decades since, key lessons from the crisis have been adapted and applied by the successors of Kennedy and Khrushchev to inform fateful choices.

Joseph Nye writes that even at this early stage, there are at least eight lessons— some old, some new— that the world is learning (or relearning) from the war in Ukraine.

Joseph Nye argues that prudence results from the fear of creating unintended consequences in unpredictable systems and can develop into a norm of nonuse or limited use of certain weapons or a norm of limiting targets. Something like this happened with nuclear weapons when the superpowers came close to the brink of nuclear war in 1962, during the Cuban missile crisis. The Limited Test Ban Treaty followed a year later.

Whether they regard it as competitive, cooperative, or confrontational, virtually all observers agree that the U.S.-China relationship is consequential. From cyber norms and AI to military tensions in the Taiwan Strait and the global struggle to turn the tide on climate change, how Washington and Beijing manage their shared future will shape the globe for decades to come. Through research and relationship-building, the Center is dedicated to helping the U.S. and China collaborate and compete without conflict.

While China is building nuclear reactors faster than any other country in the world, major constraints may limit nuclear energy’s ability to grow to the scale of hundreds of gigawatts that would be required for it to play a major part in decarbonizing China’s energy system. This chapter explores the major constraints on, and risks of, large-scale nuclear energy growth in China, and how both new policies and new technologies might address them. It focuses particularly on the two biggest constraints – economics and siting. Substantial government policies to support nuclear power and advanced reactor systems designed to address some of the key constraints are both likely to be needed for nuclear to have a chance of playing a major role in decarbonizing China’s energy system; nuclear energy’s role may be bigger in the second half of this century than in the first half.

Following the June 16 Biden-Putin Summit, several Belfer Center experts shared their thoughts on how the meeting might impact the U.S.-Russia relationship. 

The Bulletin of Atomic Scientists has published a document from the Pugwash Conference on Science and World Affairs concerning nuclear problems and tensions in the time of COVID-19. The document has been co-signed by a large number of Pugwash colleagues and personalities.

As the COVID-19 pandemic devastates the world, nuclear power plants must remain safe and secure to provide electricity for food supply chains, emergency response teams, hospitals, and telecommunications in countries home to more than half of all people. Meanwhile, the Islamic State terror group has already announced its intent to exploit the pandemic, and other violent extremist organizations are also taking pains to use the crisis for their own purposes.

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.