The University of Maryland School of Public Health held its first Big Data in Public Health conference on Feb. 28, with 202 attendees from 35 different institutions and organizations.
In this year's conference, 10 speakers from different application areas of big data analytics—including social media, genomics and bioinformatics, health care, imaging and neuroscience—presented about their cutting edge research using big data and its connection with public health data science.
The conference emphasized how big data methodology and analytic tools can be applied to solve real-world public health problems and transform population health and medicine.
Speakers included School of Public Health Dean Boris Lushniak, Associate Dean for Research Dushanka Kleinman, David Broniatowski, Lisa Singh, Quynh Nguyen, Mihai Pop, George Tseng, Daniel Scharfstein, Jie Chen, Peter Kochunov, Shuo Chen and Sherrine Eid.
“It is our hope that, based on the connection established in this conference, we would be able to see more interdisciplinary collaboration among institutions and between academia, industry and government, to response together to the public health issues we are facing and achieve our common objectives,” said Tianzhou (Charles) Ma, chair of the conference.
Other organizers included Mei-Ling Ting Lee, co-chair of the conference, Quynh Nguyen, Raul Cruz-Cano and Hongjie Liu, all faculty in the Department of Epidemiology and Biostatistics.
The Big Data Conference is organized and supported by the University of Maryland School of Public Health’s Department of Epidemiology and Biostatistics. Additional support comes from the Biostatistics and Risk Assessment Center (BRAC).
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