Grow-NY startups enrich robust agri-food system

The 20 finalist startups battling for $3 million in prize money in the fifth annual Grow-NY Food and Agriculture Business Competition were selected from more than 320 applicants, including 81 entries from New York state.

‘Opting in’ to see information can reduce hiring bias

A new study from an ILR School researcher offers a pathway to reducing bias in hiring while preserving managers’ autonomy – by encouraging hiring managers to avoid receiving potentially biasing information about applicants.

Rating platforms drive sales at tourist-area NYC eateries

Ratings on online platforms can greatly impact high-priced New York City restaurants that service tourists, but have less of an effect on restaurants frequented by “locals” outside of tourist areas, according to new Cornell research.

Life Sciences Technology Innovation Fellowship announces 2023-24 cohort

Cornell University’s Life Sciences Technology Innovation Fellowship, formerly known as the BioEntrepreneurship Initiative, enters its second year in 2023-24 with a new cohort of 15 business students and 12 researchers.

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Entrepreneurial students pack eHub Collegetown for kickoff event

Cornell was recently ranked by Crunchbase as the No. 5 top school in the country for producing entrepreneurs who have raised capital.

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Broome County chefs flavor CCE Women of Food event

Cornell Cooperative Extension Broome County’s inaugural “Women of Food” event featured local chefs preparing their signature plates and telling personal stories about the foods and relationships that launched their culinary journeys.

Seeing a bright future for hemp in NYS

Hailee Greene MBA '24 wants to build the first industrial hemp processing facility in the northeast.

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The age of the mompreneur: Empowering working mothers

In the Keynote “The Boss of Me: Entrepreneurship and Motherhood,” Andrea Ippolito shares insights into what it takes for women to thrive as working mothers in today’s competitive, fast-paced labor market.

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‘Status Symbols’ in online debates can create bias

New research involving machine learning determined that the persuasive power of “symbolic status” from virtual badges in online debates has the potential to create an imbalance of power.

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