The Latest Research, Innovation & Impact News

Arizona Online earned its third consecutive top-10 finish among the best online bachelor's degree programs in the 2023 Best Online Bachelor's Programs rankings by U.S. News & World Report.

Known as the "King of Sting," Justin Schmidt has dedicated his life to the study of insects, mostly the stinging kind. In a recent paper, he explores giant velvet mites – elusive creatures of the arachnid family. Among his discoveries: Virtually no one wants to eat them, suggesting the mites have to contend with few, if any, predators. 

When you're in a bad mood, you might be quicker to spot inconsistencies in things you read, a new University of Arizona-led study finds. The study, published in Frontiers in Communication, builds on existing research on how the brain processes language.

The museum, which will open on Saturday in the Student Union Memorial Center, was co-founded by Beverely and Bob Elliott – local business owners, volunteers and philanthropists with deep ties to the Tucson and university communities.

The Arizona Partnership for Climate-Smart Food Crops will promote climate-smart food production practices and help farmers reduce water consumption and carbon emissions.

The mystery of whether microbial alien life might inhabit Enceladus, one of Saturn's 83 moons, could be solved by an orbiting space probe, according to a UArizona-led study.

The university had $770 million in total research activity in fiscal year 2021 and retained its No. 1 ranking in astronomy and astrophysics expenditures at more than $113 million.

Sociology students who surveyed nearly 300 people struggling with housing insecurity found that rising housing costs and grocery bills were among their top concerns.

With funding from the state's New Economy Initiative, researchers are working to develop precision cancer treatments using 3D-printed environments that mimic human tissue.

Black holes are surrounded by an invisible layer that swallows every bit of evidence about their past. Researchers are now using machine learning and supercomputers to reconstruct the growth histories of black holes.