More than 40% of residents in 15 cities in the “global south” – developing nations in Sub-Saharan Africa, South Asia and Latin America – still lack quality, affordable water that can be piped into dwellings.
As methane concentrations increase in the Earth’s atmosphere, chemical fingerprints point to a probable source: shale oil and gas, according to new Cornell research published in Biogeosciences.
Leep Foods, an upstate New York producer of specialty mushrooms, is working with the Center of Excellence at Cornell AgriTech to develop a blended burger using mushrooms and grass-fed beef.
Cornell and China’s Hebei Qimei Agriculture Science and Technology Co. Ltd., have agreed to collaborate on microbial food safety research, via a $2.5 million grant from the Walmart Foundation.
Cathy Kling, professor in the Cornell SC Johnson College of Business, is collaborating on two projects, funded by the USDA, that will evaluate the economic impact agricultural pollution has on rural communities in the Midwest.
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.
A measure to conserve groundwater in northwestern India has led to unexpected consequences: Added air pollution in an area already beset by haze and smog.
A Cornell researcher is collaborating to help Scotland achieve net zero carbon emissions by 2045 through education to support new, stronger climate-action policies.
The world’s food supply will become safer as the food industry shifts to high-resolution, whole-genome sequencing – which examines the full DNA of a given organism all at once.
Protecting crops from pests and pathogens without pesticides has been a longtime goal of farmers. Researchers at Boyce Thompson Institute have found that compounds from microscopic soil roundworms could achieve this aim.
The Cornell Local Roads Program improves New York’s roads by serving the 1,500 village, town and county officials who maintain them, with workshops, technical assistance and up-to-date best practices.
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.
