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Building a hub for data science in Africa
Advances in data science have the potential to improve health and well-being for people in Africa, but this promise has been limited by a shortage of local data scientists.
At data science camp, career development and self-driving cars cross paths
The Data Science in Action camp is a summer program for high schoolers focused on computer programming and artificial intelligence—machine learning in particular—run by the Translational Data Science Center for a Learning Health System at Harvard Chan School…
Bolstering data science and global health research training in Africa
Researchers from Harvard T.H. Chan School of Public Health are leading a new collaborative effort to increase training opportunities in data science research in five African countries.
Artificial Intelligence’s Promise and Peril
As algorithms analyze mammograms and smartphones capture lived experiences, researchers are debating the use of ai in public health.
A call for improved use of data during crises
Better use of large-scale streams of digital data on population vulnerabilities, physical and medical infrastructure, human mobility, and environmental conditions is key to improving disaster preparedness and response, according to experts from Harvard Chan School.
First ever village-level mapping of childhood undernutrition in India reveals sharp local disparities
For immediate release: April 26, 2021 Boston, MA – The risk of childhood undernutrition varies widely among villages in India, according to new research led by Harvard T.H. Chan School of Public Health in collaboration with researchers at Harvard’s…
A Better Flow Chart for Medical Discovery
The Apple Women’s Health Study will use data from smartphones to help researchers understand menstruation’s ties to many diseases.
Getting to know… Dongzhengyang "Ray" An, SM ’20
May 15, 2020—Data scientist. Minor celebrity. Self-styled crooner. Ahead of his May graduation, biostatistics student Dongzhengyang "Ray" An, discussed his path from China to Harvard Chan School, the draw of causal inference and machine learning, and how the…
Tracking COVID-19 with cell phone data while safeguarding privacy
Researchers led by Caroline Buckee are using cell phone data to study people’s mobility patterns, in order to help control COVID-19—without violating people’s privacy. Buckee, associate professor of epidemiology and associate director of the Center for Communicable Disease…
Editorial: The challenges and opportunities of using mobile phone data during a pandemic
Mobile phone data, when used properly and carefully, can provide important and timely insights into the spread of infectious diseases and human behavior, but the use of mobile phone data for tackling the COVID-19 pandemic has been relatively…