FILE - Pennsylvania Gov. Josh Shapiro watches warmups before an NFL football game between the Philadelphia Eagles and the Detroit Lions on Sunday, Nov. 16, 2025, in Philadelphia. (AP Photo/Matt Slocum ...

More than $61 billion has flowed into the data center market so far this year. Hyperscalers are increasingly turning to outside capital in the form of debt to fund the energy-intensive infrastructure.

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

Deborah Caldeira is a strategic HR leader with 30+ years of expertise transforming workplace challenges into opportunities. She is known for coaching executives and teams through complex situations ...

WASHINGTON – The U.S. Army is advancing its personnel readiness capabilities with data-driven tools that provide leaders with real-time insight into the health and status of every military ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

AI data centers are pushing up electricity demand and fueling higher electricity prices for U.S. households, according to energy experts. Consumers in certain areas of the country like the West and ...

This workshop is designed for students and research teams who want to turn cleaned data into clear, publication-ready graphics. Participants learn the core ideas behind the “grammar of graphics” and ...

Google is planning two new data centers in Muskogee County as part of a $9B investment in Oklahoma. Local leaders say the project could reshape the region’s tech and energy landscape. Google announced ...

Successfully built a crop yield prediction system using advanced machine learning in R, which leverages agro-environmental, soil, and weather data to forecast agricultural yield (in tons per hectare).

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...