RSS feed source: National Science Foundation

Synopsis

The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States.  It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports including Women, Minorities and Persons with Disabilities in Science and Engineering and the National Science Board’s biennial report, Science and Engineering (S&E) Indicators.

The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys as well as promote the education and training of researchers in the use of large-scale nationally representative datasets. NCSES

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

In-brief analysis

May 15, 2025

Data source: U.S. Energy Information Administration, Short-Term Energy Outlook (STEO), May 2025, and Oxford Economics
Note: Excludes 2020 and 2021 as outlier years because of the COVID-19 pandemic.

We forecast consumption growth of crude oil and other liquid fuels will slow over the next two years, driven by a slowdown in economic growth, particularly in Asia, in our May Short-Term Energy Outlook (STEO).

The world economy, measured by GDP, increases 2.8% in 2025 and 2026 in our forecast. Excluding the years of global economic contraction in 2020 and 2009, these economic growth rates would be the lowest since 2008. Considerable uncertainty over world trade, manufacturing, and investment points to downside risk in economic growth, which has a direct effect on oil consumption.

Economic activity uses energy. Increases in population,

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

An interdisciplinary team of researchers funded by the U.S. National Science Foundation has created a teacher-driven curriculum called Shark AI. This optional online program introduces Florida middle school teachers and students to artificial intelligence through the science of paleontology. With Shark AI, science teachers learn how to incorporate AI and machine learning concepts into their classrooms to help their students build essential skills and prepare for 21st-century STEM careers.

“Most K-12 AI learning occurs with computer science standards and learning goals,” said Bruce MacFadden, University of Florida (UF) distinguished professor and principal investigator (PI) on the project. Shark AI takes a novel approach by using AI to teach concepts that are connected to biology, paleontology and the nature of science, while at the same time connecting to computer science education goals as well,” he said.

Image showing the Google Teachable Machine model built to identify fossils. Students use this free, online machine learning tool to create their own models to classify fossil shark teeth.

Developed with and for teachers, Shark AI is a free, optional online curriculum with five flexible modules — all aligned with middle school science standards — that teachers can choose to integrate into their instruction plans. The lessons aim to demystify AI by teaching students about data collection and

Click this link to continue reading the article on the source website.