Data Science

Data Science

The 2016 Innovation Lab on Interdisciplinary Approaches to Biomedical Data Science is forum for the investigation of innovation.
Challenges of Wearable and/or Ambient Sensors
This Innovation Lab will facilitate new interdisciplinary collaborations among quantitative and biomedical researchers to address data science challenges arising from the use of wearable or ambient sensors. Wearable or ambient sensors, as defined here, broadly describes the necessary software and hardware that drives internet-connected devices with a health or biomedical research objective. A more detailed description of the Lab can be found in the document Detailed information on Innovation Lab. Some exemplar areas of quantitative interest are suggested in the document Topics of Expertise Needed for Innovation Lab.
The Innovation Lab process entails participation in an intensive five-day residential workshop in order to facilitate the development of new teams of early-career biomedical and quantitative investigators who generate multidisciplinary cooperative research programs through a real-time and iterative mentoring process. While prior knowledge of research at this interface is beneficial, it is more important for applicants to demonstrate their willingness to engage in collaborative multidisciplinary research. At the conclusion of the workshop, teams will be encouraged to develop proposals for submission to the funding agencies.

 

Recent Comments

    Archives