First-generation students bring a unique perspective to their educational experience at Cornell, and the university is committed to fostering opportunities for them.
The newly released “Pathways to Discovery in Astronomy and Astrophysics for the 2020s,” identifies scientific priorities, opportunities and funding recommendations for the next 10 years of astronomy and astrophysics.
A new Cornell-led study identifies several keys to sustainably managing the influx, with an emphasis on battery chemistry, second-life applications and recycling.
Working with the Armenian delegation at COP26, Allison Chatrchyan aims to shape U.N. agriculture policy to reduce greenhouse gas emissions and increase carbon sequestration.
Four Cornell faculty testified to the NYS Assembly Oct. 27 on how firing up once-shuttered carbon-based power plants – to process cryptocurrency – could pause environmental progress.
A team of Cornell students has won a grant from NASA’s University Student Research Challenge for a proposed sensor that can help 3D printers build better, more reliable products. To collect the prize, the team is now crowdfunding a cost-share required by NASA.
Cornell researchers found that by deliberately introducing more defects into a 3D-printed metal alloy, followed by a post-processing treatment, they could create a stronger, more ductile material.
A team of graduate students in food science, mechanical engineering and biological engineering is among the winners of Phase 1 of the NASA Deep Space Food Challenge.
After gazing at Jupiter’s Great Red Spot and its cloudy realm, NASA’s Juno spacecraft has given humanity a 3D, turbulent sense of what lies far below its swirling surface.
Cornell research shows how to make offshore wind farms more efficient in the face of impending rapid expansion, as the U.S. Department of the Interior plans leasing federal waters.
“A Call For Innovation: New York’s Agrifood System,” a report published this past spring by Cornell’s Center for Regional Economic Advancement, is the basis for the topics to be addressed at this year’s Grow-NY Summit, slated to bring food and ag innovators together at the Syracuse Oncenter on Nov. 16-17.
Cornell researchers used machine learning to predict with near-perfect accuracy how genes are transferred between bacteria, an approach that could potentially be used to stop the spread of antibiotic resistance.
