NASA’s orbiting James Webb Space Telescope will be “the premier observatory of the next decade, serving thousands of astronomers worldwide, and studying every phase in the history of our Universe, ranging from the first luminous glows after the Big Bang, to the formation of solar systems capable of supporting life on planets like Earth, to the evolution of our own Solar System.”
So why does its Director need to have a Top Secret/SCI security clearance, as specified in the job description posted last month on USA Jobs?
Clearly, the secrets of the universe do not lend themselves to, or require, national security classification controls, let alone non-disclosure agreements or polygraph testing.
But in practice, the civilian space program intersects the national security space program at multiple points, and former CIA analyst Allen Thomson suggested that the future Webb Director might need a Top Secret intelligence clearance in order to engage with the National Reconnaissance Office on space technology and operations, for example.
The Webb Space Telescope “will complement and extend the discoveries of the Hubble Space Telescope, with longer wavelength coverage and greatly improved sensitivity,” according to NASA. “The longer wavelengths enable the Webb telescope to look much closer to the beginning of time and to hunt for the unobserved formation of the first galaxies, as well as to look inside dust clouds where stars and planetary systems are forming today.”
The Webb Telescope has a projected launch date in 2018.
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
AI is already consequential, but its future trajectory remains contested. Policymakers should make their assumptions explicit, focus on what can be shaped rather than what can be perfectly predicted, and build institutions that can learn and respond as evidence changes.