Cornell Atkinson and Environmental Defense Fund announce three new Innovation for Impact [link] awards for research projects that aim to accelerate problem-solving research and catalyze rapid integration of research into effective policy.
A team led by Natasha Holmes, the Ann S. Bowers Assistant Professor, set out to interview and survey physics undergraduates to see what role their preferences play in the well-documented gender disparities in physics lab courses.
New Cornell research uses mathematical modeling to show that friendship networks can distort a voter’s sense of an election’s outcome, resulting in the victory of politicians who do not represent the preferences of the electorate as a whole.
The threat of demographic change may alter who white Americans perceive as racial minorities, potentially making more people vulnerable to discrimination, suggests new Cornell psychology research.
Heeyon Kim, an expert in how social status, reputation and market identity affect the behavior of people in creative industries, says newcomers don't need to beat industry giants to reach Oscar status, they just need to beat expectations.
Professors Neil Lewis Jr. ’13 and Tashara Leak are leading the new Action Research Collaborative, which will serve as an institutional hub for cross-campus action research collaborations between Ithaca and New York City, and elsewhere.
As New York prepares for a carbon-free energy future, public support for utility-scale solar farms is much lower than support for smaller solar projects, says new Cornell research.
Managers who are open to employee input are more likely to attract workers from other units in their organizations, according to a new study from John McCarthy and JR Keller in the ILR School.
Following a sweeping effort in 2019 to address clinical care team well-being across Weill Cornell Medicine, physicians note a reduction in stress and feelings of burnout compared to previous surveys, according to a new report from the institution.
Cornell researchers in natural language processing have found that the word lists packaged and shared amongst researchers to measure for bias in online texts oftentimes carry words, or “seeds,” with baked-in biases and stereotypes, which could skew findings.
