"Public health has a major role to play in establishing this pillar of data equity in terms of studying understudied populations in the world, making our datasets and training datasets more representative, and promoting the responsible ethical use of AI," says Bhramar Mukherjee, PhD, Senior Associate Dean of Public Health Data Science and Data Equity.
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Discover a wealth of resources to support your public health data science and equity research. We provide the tools and infrastructure to accelerate your data-driven discoveries. Engage with our vibrant community through workshops, seminar and collaborative projects and leverage our supportive ecosystem as we aim to advance equitable data science and drive positive societal impact.
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