Cornell announces $54M from NSF for new CHESS subfacility

The Cornell High Energy Synchrotron Source, or CHESS, has been awarded $54 million from the National Science Foundation for a new subfacility, the Center for High-Energy X-ray Sciences at CHESS.

New software helps plant breeders bring out their best

Cornell researchers have released a free, open-source software to help make potentially subjective and time-consuming plant breeding decisions more consistent and efficient.

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.

Via sport, Farred explores relation, belonging in ‘Entre Nous’

Africana studies professor Grant Farred muses on soccer, separation, relation and belonging in his new book, “Entre Nous: Between the World Cup and Me.”

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.

Macroeconomics workshop examines lessons from 2008 crisis

Cornell hosted a two-day workshop in late June addressing criticisms of contemporary macroeconomics, organized by professor Kieran Donaghy with support from the Atkinson Center for a Sustainable Future.

Rigged card game sheds light on perceptions of inequality

In a study designed to measure perceptions of inequality, Cornell researchers found that winners of a simple card game were far more likely than losers to believe the game’s outcome was fair, even when it was heavily tilted in their favor.

New accelerator sails through key test – recovering energy

The Cornell-BNL ERL Test accelerator, or CBETA, reached an important milestone June 24: It measured energy recovery for the first time, confirming a theory first proposed more than 50 years ago at Cornell.

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.