Cornell program celebrates 50 years of nutrition education

Nutrition educators from across New York state joined Cooperative Extension staff and university faculty June 17-18 for a celebration of the 50th anniversary of the Expanded Food and Nutrition Education Program.

Dairy food science program promotes safety, quality

The Cornell Dairy Foods Extension certificate program run by the Department of Food Science in CALS helps industry people learn the ins and outs of product safety and quality.

Conference examines diversity in youth development programs

With this year’s focus on diversity and inclusion, youth development researchers and practitioners gathered May 29-30 in Ithaca for the ninth annual Youth Development Research Update.

CALS youth development program supports NYS dairy industry

June is National Dairy Month, and Cornell PRO-DAIRY's Junior DAIRY LEADER program has built enthusiasm for the industry for 20 years through personal and professional leadership development.

Cornell funds projects in NYC visioning initiative

Four new faculty projects have been selected to receive funding for collaborative, cross-disciplinary opportunities for learning and research in New York City.

Eighteen receive Engaged Graduate Student Grants

Eighteen Cornell doctoral students from 13 fields of study have received 2019-20 Engaged Graduate Student Grants to support community-engaged research relevant to their dissertations.

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.

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.