NYC entrepreneurship conference features CEOs, NBA leader

The 2024 Eclectic Convergence conference in New York City, organized by Entrepreneurship at Cornell, is set for Nov. 15.

Around Cornell

Food hackathon to kick off year of weekend events

A year of hackathons kicks off Oct. 25-27 with the Food Hackathon in Stocking Hall, which focuses on finding solutions that address hunger, poor nutrition, food waste and other food-related challenges. 

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Faculty awarded entrepreneurship funding

Thirteen faculty members are recipients of 2024 Louis H. Zalaznick Teaching Assistantships, given out by Entrepreneurship at Cornell.

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AI-generated college admissions essays sound male, privileged

Researchers at Cornell, Stanford and the University of Pennsylvania found that AI-generated college admissions essays are most similar to essays authored by students who are males, with higher socioeconomic status.

Information scientist Nicola Dell named MacArthur Fellow

Nicola Dell, associate professor at the Jacobs Technion-Cornell Institute at Cornell Tech, and novelist Ling Ma, MFA ’16, have been awarded 2024 MacArthur Foundation fellowships — more commonly known as “genius grants.”

Global AI among three projects funded to build better future

A multidisciplinary team aims to build a more inclusive AI shaped by global cultures and knowledge – one of three projects that make up Cornell’s new Global Grand Challenge: The Future.

Kavita Bala, dean of Cornell Bowers CIS, named provost

Bala, an expert in computer vision and graphics who has shepherded the expansion of Cornell Bowers CIS, will begin her appointment on Jan. 1. 

NSF grant supports AI-driven sustainability research, training

A new program at Cornell will tackle critical environmental challenges by integrating advanced AI tools with sustainability research across the campus, thanks to a grant from the National Science Foundation’s Research Traineeship Program.

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Considering race in colon cancer prediction reduces disparities

Taking race into account when developing tools to predict a patient’s risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.