House passes agency software-buying bill, waits on Senate again

The House on Monday passed a bill that would revamp how agencies purchase software, putting the legislation in the same place it was a year ago: waiting for the Senate to follow suit as the clock ticks down on the congressional calendar. The Strengthening Agency Management and Oversight of Software Assets (SAMOSA) Act would require agencies to examine their software licensing practices, with the aim of streamlining IT buying practices to avoid duplicative purchases. The bill is identical to legislation that passed the House last December but did not move forward in the Senate. The House bill, co-sponsored by Reps. Nancy Mace, R-S.C., Shontel Brown, D-Ohio, Pat Fallon, R-Texas, and April McClain Delaney, D-Md., would press agencies to better manage their software without limiting procurement options. They would be required to submit IT assessments to the Office of Management and Budget, the General Services Administration and Congress, so better oversight could be conducted. On the House floor Monday, Brown credited her three co-sponsors as well as former Rep. Gerry Connolly, D-Va., who died of cancer in May after taking the lead on this bill in addition to his myriad other government IT efforts. Brown, ranking member of the House Oversight Cybersecurity, Information Technology, and Government Innovation subcommittee, said the SAMOSA Act is a “straightforward good government bill that has strong bipartisan support from members of the Oversight Committee.”

A new bill from Sens. John Fetterman, D-Pa., and Ted Budd, R-N.C., would establish a national network of cloud laboratories led by the National Science Foundation and supported by the National Institute of Standards and Technology, with the goal of enhancing collaboration between institutions while improving research efficiency with AI. If passed, NSF will select up to six programmable cloud laboratories from a range of applicants, including academic institutions and private-sector research groups. NIST would be tasked with setting standards and reporting to Congress about the feasibility for expansion. The bill, introduced last week, aligns with provisions laid out by the Trump administration’s AI Action Plan and aims to codify existing NSF proposals, according to the sponsors. NSF earmarked $100 million for a similar AI-powered cloud network in August as it looked to expand access to emerging technologies. Researchers in the co-sponsors’ home states have developed methods to ease automated discoveries, which will serve as a blueprint for the national effort. NSF will judge applicants on the level of existing data integration and automated capability infrastructure and capacity to support multi-user cloud workflows, among other criteria. In addition to bipartisan backing, the legislation garnered support from officials at Carnegie Mellon University, the Accelerate Science Now coalition and the Allegheny Conference on Community Development.

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