2018 Data Science Innovation Lab:
Mathematical Challenges of Single Cell Dynamics
June 25-29, 2018
DEADLINE: 11:59PM Eastern Time, February 28, 2018
Notifications will be sent out no later than April 30, 2018
The BD2K Training Coordinating Center is organizing an Innovation Lab to foster the development of new interdisciplinary teams via a facilitated and mentored format to tackle the technology and mathematical challenges which are creating roadblocks in utilization of single cell multimodal data acquisition, compatibility, and its wider integration. A more detailed description of the Lab can be found in the document Detailed information on 2018 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 process entails participation in an intensive five-day residential workshop facilitating the development of new early-career biomedical and quantitative investigator teams that will generate multidisciplinary cooperative research programs through a real-time and iterative mentoring process. The concept of the Innovation Lab program is to organize intensive multidisciplinary interactions involving around 30 participants, with the aim of developing new and bold approaches to address grand challenge 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 and senior scientists (mentors) with relevant expertise and exposure to the topic area assist the participants. The scientific experts serve as mentors and act as impartial referees during the process. Working under the guidance of the mentors, participants will form teams during the workshop to develop interdisciplinary projects to solve a data science challenge arising from a biomedical research question involving mathematics of single cell dynamics. Learn about this year's mentors. 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.
11:59PM, Eastern Time, February 28, 2018
Early-career investigators (at the assistant to newly associate professor level) from quantitative (including but not limited to applied and/or theoretical mathematics, statistics, computer science, physics, and engineering) and biomedical fields (including but not limited to biological, biophysical, epidemiological, and clinical disciplines) are highly encouraged to apply and participate in the Data Science Innovation Lab. A broad diversity of backgrounds is welcomed! Women and underrepresented scientific communities are encouraged to apply. Indeed, the lab is open to any biomedical investigator who has research questions with an associated quantitative single cell challenge or any quantitative investigator with relevant approaches and methodology to the acquisition and/or analysis of Single Cell multi-spatio-temporal data.
Data resources we will consider but will not be limited to include: single cell imaging, microfluidics, mass spectrometry, cytometry, genomics, proteomics, fluorescence microscopy, real-time high resolution imaging, optogenetics, and metabolomics. Quantitative approaches might include network analysis, continuum modelling, partial differential modeling, time-series analyses, Riemannian manifolds, surface-based mathematics, Bayesian methods, and other multivariate statistical approaches.
Both quantitative and biomedical researchers should demonstrate their ability to work with researchers from different disciplines. Biomedical researchers should be able to leverage data from single cell heterogeneity 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 single cell challenges.
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 Innovation Lab.
Questions? Please contact BD2K TCC