Schedule:
Thursday, June 1, 2017: 10:15 AM-11:45 AM
Capitol A (Hyatt Regency Washington, Washington, DC)
Speakers/Presenters:
Stephanie T. Lanza,
Mildred M. Maldonado-Molina,
Thomas Dishion,
W. Alex Mason,
Michael J. Mason,
Francois Modave and
Leslie D. Leve
This roundtable is designed to kick off an important new discussion pertaining to the use of big data in prevention science. This is the theme of a new SPR Mapping Advances in Prevention Science (MAPS) task force. Recently, the NIH launched the Big Data to Knowledge (BD2K) initiative with a focus on translating big data into crucial, new public health knowledge. The discussion will focus on three types of big data: (1) system-level and administrative data (e.g., medical records) and the potential for building linked data sources to advance health outcome and policy research; (2) biological data including neurological, genetic, genomics, proteomics, and metabolomics; and (3) data from mobile and wearable technologies (e.g., smart phones, wearable devices, health sensors) as well as social media data. Using biomedical informatics and innovative methodologies to collect and analyze these types of data can transform the delivery of intervention content and improve our ability to meet individuals' needs in the context of their daily lives in real time. We will challenge participants to suggest other types of big data relevant for prevention research and to identify training opportunities and future conference program content. Finally, we will discuss formation of the new MAPS task force.
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