Nominate a UC cause or program for #GivingTuesday

For the 2022 edition of #GivingTuesday set for Tuesday, Nov. 29, the University of Cincinnati is celebrating the many ways UC and UC Health make a positive impact on the world. Marking the ninth consecutive year for the university’s participation in the national #GivingTuesday campaign, UC seeks to highlight various UC good works that significantly influence the lives of our students and members of the community.

Those with a passion for a particular UC effort or initiative can add their support in the planning stage of #GivingTuesday by nominating that cause or program to be part of the campaign. If selected, the UC Foundation will help raise funds and awareness for the initiative during the Nov. 28 event. Last year’s campaign raised $353,226 from 3,515 gifts.

Nominate your UC cause/program today!

Featured image at top courtesy of UC Alumni Association.

Related Stories

1

Sugar overload killing hearts

November 10, 2025

Two in five people will be told they have diabetes during their lifetime. And people who have diabetes are twice as likely to develop heart disease. One of the deadliest dangers? Diabetic cardiomyopathy. But groundbreaking University of Cincinnati research hopes to stop and even reverse the damage before it’s too late.

2

Is going nuclear the solution to Ohio’s energy costs?

November 10, 2025

The Ohio Capital Journal recently reported that as energy prices continue to climb, economists are weighing the benefits of going nuclear to curb costs. The publication dove into a Scioto Analysis survey of 18 economists to weigh the pros and cons of nuclear energy. One economist featured was Iryna Topolyan, PhD, professor of economics at the Carl H. Lindner College of Business.

3

App turns smartwatch into detector of structural heart disease

November 10, 2025

An app that uses an AI model to read a single-lead ECG from a smartwatch can detect structural heart disease, researchers reported at the 2025 Scientific Sessions of the American Heart Association. Although the technology requires further validation, researchers said it could help improve the identification of patients with heart failure, valvular conditions and left ventricular hypertrophy before they become symptomatic, which could improve the prognosis for people with these conditions.