Researchers from Harvard tackled big questions in data science and explored possibilities for collaboration with executives from Elsevier—an information and analytics company specializing in scientific, technical, and medical information—during a series of roundtables sponsored by the Harvard Data Science Initiative. Held Nov. 6, 2017 at the Cabot Science Library in Cambridge, the event gave experts from both institutions the opportunity to see how they might work together to address public health challenges through data curation and analytics.

Participants noted that while Elsevier brings large amounts of data to the table, the Harvard researchers bring something equally important—the expertise to define the best questions to answer. Panelists discussed how data science can be applied to big problems, such as the ways that the places where people live and work affect their health.

Francesca Dominici, professor of biostatistics at Harvard T.H. Chan School of Public Health and co-director of the Data Science Initiative, was a moderator. Other Harvard Chan School faculty members who participated include Sara Bleich, Tianxi Cai, Sebastien Haneuse, Miguel Hernan  Subu Subramanian, and Cory Zigler.

Read Elsevier coverage: Harvard and Elsevier explore collaborations in data science

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