“Since September 11, 2001, the Department of Defense (DoD) has obligated $1,500.8 billion for war-related costs.”
That’s the headline from the latest report to Congress on the post-9/11 costs of war, according to the Pentagon’s own reckoning. See Cost of War Update as of March 31, 2018 (FY 2018, Quarter 2).
Independent estimates of military spending that use a broader definition of the term yield a considerably higher total.
The new DoD report provides a detailed retrospective account of post-9/11 military spending, broken down by theater (Afghanistan, Iraq, Syria), by fiscal year, and by military service. A copy was obtained by Secrecy News.
The fraction of war-related funds that were appropriated to DoD in the post-9/11 period for classified purposes totaled $88 billion, the report said.
The 76-page DoD report itself exemplifies a certain financial profligacy, with a price tag that is orders of magnitude higher than one might have supposed. “The cost to the Department of Defense to prepare and assemble this report is approximately $209,000 for FY 2018,” the document states.
The emerging federal metascience community is asking fascinating questions that are equally vital for democratic legitimacy: beyond “did this program work” to “how does the federal R&D enterprise itself work, and how could it work better?”
If you’re new to the climate intervention space, welcome! The TL;DR: if we can’t stop the most catastrophic impacts of climate change with current tools quickly enough, then we need a bigger toolbox.
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.