Research from the lab of Calvin Lai, assistant professor of psychological and brain sciences in Arts & Sciences, suggests demographics, not bias, is the best predictor of racial discrepancy when it comes to who gets pulled over by police.
People’s social behavior, reflected in their mobility data, is providing scientists with a way to forecast the spread of COVID-19 nationwide at the county level. Researchers have developed the first data-driven deep learning model with the potential to predict an outbreak in COVID-19 cases two weeks in advance. Feeding the mobility data to epidemiological forecasting models helps to estimate COVID-19 growth as well as evaluating the effects of government policies such as mandating masks on the spread of COVID-19.
Deaths of family members may trigger ripple effects across family networks, reverberating in the lives of children in complex and, sometimes, unexpected ways.
In a study, the researchers found that deaths in the family can affect the educational attainment of children. That impact most often is negative, but, in certain cases, a family death can improve the chances that children will further their education.
When it comes to seeking veterinary care for dogs, barriers to access – including a lack of trust – have more effect on the decision-making process than differences in race, gender or socioeconomic status.
The European Research Council (ERC) will fund groundbreaking research led by IIASA World Population Program Deputy Director Raya Muttarak, which will comprehensively address the impacts of climate change on population dynamics.
Cornell University has launched the NYS School District COVID-19 Tracker, an interactive, web-based mapping application that combines multiple sources of data on COVID-19, demographics and related topics by new York school district.
In flood-prone areas of the Hudson River valley in New York state, census areas with more white and affluent home owners tend to file a higher percentage of flood insurance claims than lower-income, minority residents, according to a new study.
Research from the Kem C. Gardner Policy Institute shows Utah’s relatively young population is contributing to a lower COVID-19 death rate than the nation as a whole.
The generation a person was born into – Silent Generation, Baby Boomer, Generation X or Millennial – strongly predicts how likely they are to die from a drug overdose, and at what age. Within each generation, there was a steady march toward greater overdose risk at younger ages.
Rural counties in upstate New York are likely to be the state’s most vulnerable to a COVID-19 outbreak that could strain local health care infrastructure, according to an analysis by Cornell University demographers.
A survey from Cornell researchers – conducted among more than 1,100 U.S. residents – found that there were, in fact, demographic differences in how people viewed environmental issues, with racial and ethnic minorities and lower-income people more likely to consider human factors such as racism and poverty as environmental, in addition to more ecological issues like toxic fumes from factories or car exhaust.
When it comes to adapting to the effects of climate change, scientists and policymakers are thinking too small, according to a new research review.