2019 Innovation Lab on Data Science Challenges in Rural Health and Environmental Exposures

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Monday, June 24, 2019 (All day) to Friday, June 28, 2019 (All day)
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Are you interested in biomedical science challenges which directly impact the health and wellness of rural populations? Do you have data but lack the data science expertise needed to analyze it, combine it with other data sources, and model it in novel ways? Conversely, are you a mathematician, statistician, data or computer scientist looking for unique computational challenges? Then the 2019 Innovation Lab on Data Science Challenges in Rural Health and Environmental Exposures is for you! This is a 5-day mentored and facilitated workshop to bring together biomedical and data scientists around topics related to rural health data modeling. The workshop will be held in Winston-Salem, NC, June 24-28. Applications are being accepted NOW!


The BD2K Training Coordinating Center is organizing a Data Science Innovation Lab to foster the development of new interdisciplinary teams via a facilitated and mentored format to tackle the challenges associated with the analysis, modeling, and visualization of large-scale data sets associated with the biomedicine of rural health. A more detailed description of the Lab can be found in the document Detailed information on 2019 Innovation Lab. Some exemplar areas of quantitative interest are suggested in the document Quantitative Topics of Expertise Needed and biomedical interest are suggested in the document Biomedical Topics of Expertise Needed.

The Innovation Lab entails participation in an intensive five-day residential workshop facilitating the development of new early-career (post-doc, assistant to newly associate professor level, research and tenure track) biomedical and quantitative investigator teams that will generate multidisciplinary research programs through a real-time and iterative mentoring process. Involving around 30 participants, the Innovation Lab strives to develop new and bold approaches to address challenging questions for topics that could benefit from a fresh or divergent perspective. Prior knowledge of research at this interface is not required; rather, applicants with either quantitative or biomedical expertise who demonstrate their willingness to engage in collaborative multidisciplinary research are highly encouraged to apply.

During the Innovation Lab, professional facilitators assist the participants and accelerate the idea formulation process, while the scientific experts serve as mentors and impartial referees. Working under the guidance of these mentors, participants will form teams during the workshop to develop interdisciplinary projects to solve a data science challenge arising from a biomedical research challenge involving the collection and analysis of rural health biomedical data. The lab will include opportunities for learning about NIH and NSF funding through interaction with program officers. Teams are highly encouraged to develop proposals for submission to funding agencies after the conclusion of the workshop.

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