Environment & Climate Change

Harvard Kennedy School’s Belfer Center for Science and International Affairs today announced the appointment of Lori Garver and Beth Sanner as non-resident Senior Fellows. Garver is a former Deputy Administrator of the National Aeronautics and Space Agency (NASA) and current CEO of Earthrise Alliance. Sanner was Deputy Director of National Intelligence for Mission Integration and is now Professor of Practice at the University of Maryland's Applied Research Lab for Intelligence Security. They will both share their experience and expertise with students and faculty of Harvard Kennedy School and the greater Harvard community.      

This essay makes three arguments. First, the US government will need to establish a coronavirus commission, similar to the 9/11 commission, to determine why, since April 2020, the United States has suffered more coronavirus fatalities than any other country in the world. Second, the COVID-19 pandemic represents a watershed for what will be a major national security theme this century: biological threats, both from naturally occurring pathogens and from synthesized biology. Third, intelligence about globalized challenges, such as pandemics, needs to be dramatically reconceptualized, stripping away outmoded levels of secrecy.

Joseph Nye writes that the world is increasingly obsessed with the ongoing power struggle between the United States and China. But the technology-driven shift of power away from states to transnational actors and global forces brings a new and unfamiliar complexity to global affairs.

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.