New center will foster data science research

Cornell’s Center for Data Science for Enterprise and Society, launching this fall and led by David Shmoys, will enhance research in the increasingly important field of data science.

Online birth stories reveal power imbalances

Cornell researchers performed a computational analysis on nearly 3,000 online birth stories, shedding light on new mothers’ feelings of powerlessness.

Expert: Design information networks that support democracy

Improved mediation and curation could strengthen the search engines and social media platforms dominating today's information ecosystem, Northeastern University's David Lazer said Oct 24 during the Cornell Center for Social Sciences’ Distinguished Lecture in the Social Sciences.

Cornell partners in NSF grant for astrophysics institute

The Cornell Center for Advanced Computing is among 10 collaborators awarded a $2.8 million grant from the National Science Foundation for a new astrophysics institute.

Transaction fees change the culture of bitcoin, study says

Bitcoin transaction fees keep the cryptocurrency functioning, but may threaten its long-term viability and contribute to its energy waste, according to a new study from Cornell researchers.

Women on Instagram derided as too real – or not real enough

Female influencers on Instagram endure criticism and harassment both for being too honest about their lives and for seeming too fake, a new Cornell study has found.

AI tool detects global fashion trends

A new artificial intelligence tool developed by Cornell researchers scans millions of publicly available photos to effectively identify fashion trends around the world, as well as traditions and events with signature styles.

Digital agriculture workshop highlights radical collaborations

The third annual Cornell Digital Agriculture workshop, Oct. 30 in the Statler Hotel, will bring together stakeholders across disciplines to solve the biggest problems in agriculture and food systems.

Project partners researchers, librarians and AI to fight hunger

Ceres2030, a global effort led by International Programs in the College of Agriculture and Life Sciences, is employing machine learning, librarian expertise and cutting-edge research analysis to use existing knowledge to help eliminate hunger by 2030.