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Cornell Tech awards $100K to student teams at startups competition

Four Cornell Tech student teams received $100,000 each from Cornell Tech’s annual Startup Awards competition May 16 on the New York City campus.

Impact funds offer a lower-risk proposition for private markets

Based on a new benchmark that analyzes risk exposure and performance, impact funds hold their own against traditional funds.

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Stars or numerals? How rating formats change consumer behavior

Researchers in the Cornell SC Johnson College of Business found that consumers tend to overestimate fractional star ratings and underestimate fractional Arabic numerals. In either case, the ratings can be misleading.

Refurbished fridges at regional pantries store more fresh food

Two teams of students in the Charles H. Dyson School of Applied Economics and Management worked with Whirlpool to place refurbished refrigerators on campus and in high need areas around the region.

Delicious innovation: Students aim to shake up the food system

A large number of student-led startups and fledgling business ventures revolve around improving agriculture and nutrition.

Funding fuels trials for CareTech Human’s health technology

A Cornell-based startup is advancing a solution that could improve care for the millions of people suffering from urological conditions in the U.S. CareTech Human, a member of Cornell’s Center for Life Science Ventures, has leveraged $500,000 in pre-seed equity funding to conduct clinical trials of its cutting-edge technology.

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Cindy Estis Green ’79 named 2025 Cornell Hospitality Innovator

CEO and co-founder of Kalibri Labs, a hospitality platform that increases hotel value by identifying the most profitable revenue mix and driving smarter hotel real estate investments, to be honored.

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Hotelies extend Cornell commitment to ‘wish-making’

Hotel administration students raised nearly $5,000 for Make-A-Wish Central New York - with help and inspiration from an alumna who was a wish-kid herself and founded, in 1994, the first college "wish-makers" group in the country. 

Tool predicts impact of wildfire smoke on solar power generation

Cornell researchers created a machine learning-based model that can forecast, with greater accuracy than current methods, the impact severe wildfire conditions will have on solar electricity generation.