Cost Estimating NewsBrief: May 2, 2025
How CBO and Joint Committee Staff Prepare Dynamic Analyses
(US Congressional Budget Office) This letter explains how CBO and staff of the Joint Committee on Taxation develop estimates of the budgetary and economic effects of legislation. The letter answers questions about what is included in different types of estimates, how debt is accounted for, how the two agencies reconcile differences, how effects are incorporated into CBO’s baseline projections, and how CBO models changes in energy production. Read More
GSA Seeks to Transform Government Procurement Through OneGov Strategy
(Executive Gov) The General Services Administration has introduced a new strategy that aims to modernize how the federal government buys goods and services by approaching procurement as a shared enterprise. Under the OneGov Strategy’s initial phase, GSA said Tuesday standardized terms and pricing will be implemented to streamline agencies’ access to IT tools. The agency will also adopt a more direct engagement model to support original equipment manufacturers, or OEMs. Josh Gruenbaum, commissioner of GSA’s Federal Acquisition Service and a 2025 Wash100 awardee, called the new strategy a “big win” for industry and government. Read More
Costs and benefits of overhead, underground, offshore power transmission weighed up by IET
(New Civil Engineer) Overhead power lines remain significantly more cost effective than underground or offshore solutions for electricity transmission, according to a new report from the Institution of Engineering and Technology (IET). The comprehensive independent study, conducted by Mott MacDonald, analyses the costs associated with installing high voltage electricity transmission lines overground, underground and sub-sea. This timely study comes amid the UK government’s ambitious initiative to overhaul Great Britain’s electricity grid, marking the largest upgrade since the 1960s. Read More
People fear AI taking jobs more than AI threatening humanity
(Futurity) A new study by the University of Zurich (UZH) reveals that respondents draw clear distinctions between abstract scenarios and specific tangible problems and particularly take the latter very seriously. There is a broad consensus that artificial intelligence is associated with risks, but there are differences in how those risks are understood and prioritized. One widespread perception emphasizes theoretical long-term risks such as that of AI potentially threatening the survival of humanity. Another common viewpoint focuses on immediate concerns such as how AI systems amplify social prejudices or contribute to disinformation. Read More
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