U.S. computer science and engineering was well represented at January’s World Economic Forum in Davos, Switzerland (http://www.weforum.org/). Several academic computer scientists were invited to participate in sessions known as Idea Labs, each of which was organized around a single theme and institution. Tomaso Poggio and Alex Pentland participated in a session titled “Worms, Machines and Brains with MIT”; Justine Cassell, Pradeep Khosla, Tom Mitchell and Manuela Veloso comprised a session on “Leveraging Human-Machine Collaboration with Carnegie-Mellon University”; and the author spoke in the session titled “Managing Complexity with the Santa Fe Institute.” Each 75-minute session consisted of a short introduction, usually by the university’s president, followed by (very) short talks from each presenter, and then breakout sessions following up on the talks.

On March 29, the White House Office of Science and Technology Policy (OSTP) launched a federal Big Data Research and Development Initiative (BDRDI). By improving our ability to extract knowledge and insights from large and complex collections of digital data, this initiative promises to solve some of the Nation’s most pressing challenges – in science, education, government, medicine, commerce and national security – laying the foundations for U.S. competitiveness for many decades to come.