Genomic data show how fish fare in evolutionary rapids

Scientists have long suspected that rapid evolutionary change in fish is caused by intense harvest pressure. Now, for the first time, scientists have unraveled the genomic changes that caused it.

Three on faculty awarded DOE early career grants

Faculty members Greeshma Gadikota, Jared Maxson and Brad Ramshaw will receive at least $750,000 over five years to support their scientific endeavors.

TESS satellite uncovers its ‘first nearby super-Earth’

An international team of astronomers led by Cornell’s Lisa Kaltenegger has characterized the first potentially habitable world outside of our own solar system.

Cornell’s Eiseman counsels Scotland on climate policy support

A Cornell researcher is collaborating to help Scotland achieve net zero carbon emissions by 2045 through education to support new, stronger climate-action policies.

Innovative AI system could help make fuel cells more efficient

An artificial intelligence system developed by a Cornell-led team has identified a promising material for creating more efficient fuel cells – a potential breakthrough in both materials science and machine learning.

Howarth advised on methane portions of NY’s new climate law

Cornell professor Bob Howarth played a key role – reckoning methane as a carbon dioxide equivalent – in New York’s Climate Leadership and Communities Protection Act.

By land and air, students to detect crop diseases with tech

The new Shen Fund for Social Impact will enable students to pursue engineering projects that could benefit society by using technology in innovative ways.

Link found between gut bacteria, successful joint replacement

Having healthy gut flora – the trillions of bacteria housed in our intestines – could lower the risk of infection following knee and hip replacement surgeries, while an unhealthy intestinal flora may increase the risk of infection.

Smart irrigation model predicts rainfall to conserve water

A predictive model combining information about plant physiology, real-time soil conditions and weather forecasts can save 40% of the water consumed by traditional irrigation strategies, according to new Cornell research.