As health care providers work tirelessly to test and treat patients who may have contracted the COVID-19 virus, state and local governments are working around the clock to create, adapt, and implement policies to mitigate the spread of the novel coronavirus and address the growing needs of their constituents.
The machine learning techniques scientists use to predict outcomes from large datasets may fall short when it comes to projecting the outcomes of people’s lives, according to a mass collaborative study led by researchers at Princeton University.
Dr. Binagwaho is visiting the School as the Gilbert S. Omenn Lecturer in Science Policy.
Study Shows How a Lack of Community Support Caused by Inequality Exacerbates Cycles of Poverty
POSTPONED UNTIL FALL 2020
Due to the Princeton University coronavirus guidelines and policies that are now in place, CSDP seminars are canceled at least through April 3, 2020.