Data science for improving health.
The Center for Health Data Science leverages data in combination with knowledge across disciplines and places, with the ultimate goal of addressing quality of life and other public health priorities.
The Center for Health Data Science (CHDS) is a hub and conduit for transdisciplinary research with an international outlook.
Uniquely, CHDS enhances interdisciplinary public health research, teaching and practice through leveraging and developing data science methods in conjunction with public health knowledge, frameworks, and action as well as with other disciplines such as computer science, urban planning, and sociology.
CHDS values and promotes pluralistic knowledge discovery and action, such as through cross-border student and faculty exchanges based on long-term relationships, and by working directly with practitioners on the ground to help address community needs.
Promoting cross-border knowledge transfer through student and faculty exchanges
based on long-term partnerships.
Enhancing interdisciplinary public health research, teaching and impact by
our novel data science methods.
Working with communities and practitioners on the ground in vulnerable areas of the globe to collectively address community needs.
In the News
Finding the Fairness in AI
As artificial intelligence (AI) becomes more widely used to make decisions that affect our lives, making certain it is fair is a growing concern.
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Doctors and hospitals have strived to replace some in-person care with telemedicine during the pandemic.
Cities With More Hateful Tweets Have More Hate Crimes, Study Finds
High levels of race-based discrimination online correlates with offline violence in cities across America, new study finds.