New and newly updated publications from the Congressional Research Service that Congress has withheld from online public access include the following.
Egypt: Background and U.S. Relations, updated June 27, 2013
Mixed-Oxide Fuel Fabrication Plant and Plutonium Disposition: Management and Policy Issues, June 25, 2013
Ballistic Missile Defense in the Asia-Pacific Region: Cooperation and Opposition, June 24, 2013
Constitutional Analysis of Suspicionless Drug Testing Requirements for the Receipt of Governmental Benefits, updated July 1, 2013
School Resource Officers: Law Enforcement Officers in Schools, June 26, 2013
President Obama’s Climate Action Plan, June 26, 2013
EPA Standards for Greenhouse Gas Emissions from Power Plants: Many Questions, Some Answers, June 26, 2013
Leaving Congress: House of Representatives and Senate Departures Data Since 1989, updated June 26, 2013
The Commodity Futures Trading Commission: Background and Current Issues, June 24, 2013
Tax Provisions Expiring in 2013 (“Tax Extenders”), updated June 27, 2013
Foreign Holdings of Federal Debt, updated June 24, 2013
Criminal Prohibitions on the Publication of Classified Defense Information, updated June 24, 2013
U.S. May Face Significant Obstacles in Attempt to Apprehend Edward Snowden, June 2013
Outcome-Based Contracting reframes procurement around the staged achievement of measurable mission outcomes rather than the delivery of predefined technical artifacts.
The real opportunity of AI lies not just in the tools, but in an educator workforce prepared to wield them. When done right, this investment in human infrastructure ensures AI accelerates learning outcomes for all students, closing the “digital design divide.”
If carbon markets are going to play a meaningful role — whether as engines of transition finance, as instruments of accurate pricing across heterogeneous climate interventions, or both — they need the infrastructure and standards that any serious market requires.
Good information sources, like collections, must be available and maintained if companies are going to successfully implement the vision of AI for science expressed by their marketing and executives.