Transportation innovations could boost public health

A Cornell-led team has used transdisciplinary systems modeling to calculate the future health benefits of vehicle electrification, driverless cars and ride-sharing in the United States.

Radio interview profiles non-profits serving individuals with developmental disabilities

Challenge-Mozaic CEO Allen Connely discusses the recent alliance between the two non-profits to better serve individuals with developmental disabilities and other barriers.

Around Cornell

Research partnership supports NYS families fighting opioids

A grant extension will continue work by a team of Cornell researchers and community partners to reduce the risk of opioid abuse for low-income youth and families.

Satellite monitoring documents cultural heritage at risk

Cornell researchers are using satellite imagery to protect endangered and damaged cultural heritage in the South Caucasus, where an ethnic conflict between Armenia and Azerbaijan has raged for decades.

NSF funds work on flagging bad online behavior

Members of the Prosocial Project have received a four-year, $1.19 million grant from the National Science Foundation for work on understanding the emergence and maintenance of norms to deter negative online behavior.

To better protect food, place rodent traps near warmth, shelter

Food distribution centers can protect the food supply more effectively by setting traps near features that attract rodents, rather than a set distance apart, a new Cornell-led study found.

Hawking’s black hole theorem observationally confirmed

Using observations of gravitational waves, physicists at Cornell, MIT and three other institutions have for the first time confirmed Stephen Hawking’s area theorem of black holes, which states their event horizons should never shrink.

New Lab of Ornithology leader brings sustainability that unites

Evolutionary biologist Ian Owens envisions building broad coalitions that unite government, industry and an engaged public, and making sustainability the focus of his work.

Machine learning tool sorts the nuances of quantum data

An interdisciplinary team developed a tool to parse quantum matter and make crucial distinctions in the data, helping scientists unravel the most confounding phenomena in the subatomic realm.