Lewenstein wins science communication prize

The inaugural Award for the Advancement of Science Communication as a Professional Field from the International Network on Public Communication of Science & Technology recognizes outstanding contributions to the development of science communication as a field. 

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Study shows how city life shapes music choices

Living in a metropolis broadens our musical horizons, and makes our playlists less alike. 

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From posters to precedent, humanities scholars showcase their research

The all-day conference offers a candid look into the research that concludes many students’ senior year. 

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Smolka named associate vice provost in Research & Innovation

Smolka, a biochemist and former interim director of the Weill Institute for Cell and Molecular Biology, will support life sciences across the university.

Staff News

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New ‘Thought Summit’ series welcomes proposals on data science and AI

Cornell faculty are invited to submit proposals for fully funded Thought Summits to spark interdisciplinary collaborations in data science and AI, with applications due June 16.

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Brain-inspired AI model learns sensory data efficiently

With brain mechanisms as a guide, Cornell researchers are designing low-energy robotic systems inspired by biology and useful for a wide range of potential applications. 

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Attendance improves in rural NYS schools with on-site health clinics

Students' risk of being chronically absent is lower in rural upstate New York schools that host comprehensive health clinics, Cornell research finds.

Alumnus Van Hamilton Barbeau works to give healthcare startups a boost

The new Startup Cornell podcast episode features Van Hamilton Barbeau '11, MS/MBA '20, AVP at Ochsner Ventures, the venture capital arm of Ochsner Health.

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Stars or numerals? How rating formats change consumer behavior

Researchers in the Cornell SC Johnson College of Business found that consumers tend to overestimate fractional star ratings and underestimate fractional Arabic numerals. In either case, the ratings can be misleading.