On January 17, 2020, colleagues from public health schools and programs from across the country will convene in New York City for the inaugural Data Science for Public Health Summit. This invitation-only conference is hosted by Columbia University Mailman School of Public Health in partnership with Columbia University’s Data Science Institute, and designed in response to the increasing demand to develop training and research programs that exploit the power of data science for the betterment of human health.
The Summit will address the unique features of public health that demand tailoring of data science approaches. For example, we will explore the ethical issues surrounding the use of data science in population health, educational needs for MPH and PhD students and for the existing workforce through continuing education, data analytic workflows for wearable devices, social media and mental health, and machine learning and artificial intelligence to study disease outbreaks and population health trends.
The planning committee is co-chaired by Dr. Gary Miller, vice dean for research strategy and innovation, and Dr. Jeff Goldsmith, associate professor of biostatistics, both at Columbia Mailman School of Public Health, and includes notable leaders in this field: Dr. Bhramar Mukherjee, chair of biostatistics at Michigan, Dr. Roger Peng, professor of biostatistics at Johns Hopkins, Dr. Lance Waller, professor of biostatistics at Emory, Dr. Amy Herring, professor of statistical sciences at Duke University, and Dr. John Quackenbush, chair of biostatistics at Harvard. Dr. Robert Tibshirani from Stanford, a leading authority in data science and a member of the National Academy of Sciences, will be the keynote speaker.