What is the Data Science Innovation Lab?

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.

Some of our 2018 Attendees in Action

Deadline to Submit Applications:
11:59PM Eastern Time, Sunday, March 10, 2019

Early-career investigators from quantitative and biomedical fields are highly encouraged to apply. A broad diversity of backgrounds is welcomed! Women and underrepresented scientific communities are encouraged to apply.

Both quantitative and biomedical researchers should demonstrate their ability to work with researchers from different disciplines. Biomedical researchers should be able to leverage data relevant to the intersection of rural health biomedicine and environmental exposures and have an understanding of the problem space. Quantitative researchers should provide examples of the types of approaches, methods, techniques and the potential to utilize these techniques in diverse research areas related to rural health biomedicine and environmental exposures.

A committee will select approximately 30 applicants to take part in the Lab. Selected participants will have their travel and hotel expenses fully covered by BD2K TCC. Applicants must be willing to commit to stay for the entire duration of the Data Science Innovation Lab.

Questions? Please visit our FAQ page or contact BD2K TCC