Led by two Cornell graduate students, more than 300 volunteers are heading out into the rain on warm spring nights to help migrating salamanders and frogs.
“Penumbra,” is comprised of two dance pieces: “seemingly perfect, radiant” by faculty member Danielle Russo, assistant professor of the practice in performing and media arts (A&S) and “Society” by guest choreographer Babatunji Johnson.
Celebrating a tradition born 125 years ago, first-year architecture students on March 27 will parade a dragon they've designed through campus, then invite community members to tour its interior.
Two members of Cornell’s on-campus business incubators will soon expand their businesses in Ithaca, creating local jobs and building capacity for future startups to grow in the region.
A new study reveals for the first time the metabolic changes that allow bacteria to survive high doses of penicillin, a classic β-lactam antibiotic. The study also uncovered a weakness in how the bacteria survive, which may help scientists find better ways to fight antibiotic tolerance in the future.
Track athletes join forces to form Men of Color in Athletics, a student-athlete campus group that has made quiet, intentional kindness and service a part of its mission.
This week’s episode of Research Matters features misinformation expert Claire Wardle, discussing how today’s information ecosystem has become increasingly polluted by misleading and emotionally charged content that spreads faster than facts.
Black workers in the Southeast face numerous challenges, including little advance notice of their work schedules, concerns about workplace safety and racial discrimination, but they also believe unions could alleviate some of these issues, according to a working paper co-authored by Kate Bronfenbrenner, Ph.D. ’93, director of Labor Education Research at the ILR School.
Cornell Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.
