Claire Deng ’22 was doing a survey of archival papers at a Cornell library when she came across something unexpected: the full transcript of a speech given by Martin Luther King Jr. in 1957 – one of only two known in the country.
Rev: Ithaca Startup Works has incubated more than 117 businesses and its member companies have created 849 new jobs, raised $205 million in capital and generated over $123 million in revenue, according to data released to mark the downtown business incubator’s 10-year anniversary.
From visitor and construction spending to research funding and entrepreneurship, an annual local economic snapshot shows the many ways Cornell is integral to the life and economy of Ithaca and Tompkins County.
A mathematician who has advised states and litigants on redistricting legislation will explore in a Feb. 5 lecture whether race-blind, computational approaches to law and policy can improve fairness.
The Cornell Jeb E. Brooks School of Public Policy Executive Master of Health Administration (EMHA) was ranked as a top 10 national program based on ratings from the program's alumni.
The death of a top donor during an electoral cycle decreases the likelihood that a candidate will be elected by more than three percentage points, according to an innovative new study by Cornell economists and colleagues.
A mathematician and public policy expert who has advised numerous U.S. states on redistricting and whose lab has been at the forefront of an emerging discipline that merges data science and elections has joined Cornell as a member of the Brooks School faculty, the Department of Mathematics in the College of Arts and Sciences and is affiliated with the Center for Data Science for Enterprise and Society as part of the provost’s Data Science Radical Collaboration initiative.
Students, staff, senior leaders and members of Cornell’s Veterans Colleague Network Group gathered last month to honor the achievements of the military community and forge connections at the third annual Military/Veterans Reception.
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.