Early adopters of Canvas share lessons learned

Approximately 30 faculty members gathered May 15 in the Biotechnology Building to share lessons learned after teaching in the Canvas management system for the Spring 2019 semester.

Master of Public Health Program graduates inaugural cohort

Eleven students from five countries made history May 25 as they became the first graduates of Cornell’s Master of Public Health (M.P.H.) program in a ceremony at the College of Veterinary Medicine.

Cracker-sized satellites demonstrate new space tech

Demonstrating a new type of space technology, 105 of the world’s smallest free-flying satellites have just completed orbiting Earth, sending short signals received by a ground station at Cornell.

Alum who sounded climate change alarm featured at Reunion

Rafe Pomerance ’68, who played an early, pivotal role in raising awareness about the threat of climate change, will participate in a June 8 Reunion panel, “Challenges and Opportunities for Reducing Climate Risks.”

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Weill Cornell commencement celebrates new leaders in medicine, science

A total of 371 students received degrees from Weill Cornell Medicine during its Commencement ceremony May 30 at Carnegie Hall in New York.

Cornell to administer Grow-NY contest for food, ag startups

Grow-NY, announced May 31 by New York Gov. Andrew Cuomo, will be one of the largest food and agriculture business competitions in the nation, supporting innovative startups in food production and agriculture.

Atkinson Academic Venture Fund awards $1.3M to 10 projects

The Atkinson Center is awarding more than $1.3 million in seed grants to support roughly a dozen interdisciplinary research collaborations at Cornell that address key sustainability challenges.

Things to Do, May 31-June 30

Cornell events in June include a special Reunion exhibition at the Johnson Museum; programs at Cornell Botanic Gardens and a free concert on the Arts Quad.

Cornell team, EPA to partner on emissions big data project

Max Zhang and students will work with EPA experts over the next year on a machine learning model to predict fossil fuel emissions.