Applications are due by 11:59PM ET, July 30, 2021
In-Person Innovation Lab
June 13-17, 2022
An Intensive Five-Day Workshop
Involving around 30 competitively-selected, early-career (post-doc, assistant to early associate professor level) biomedical and data science investigators, each year’s Biomedical Data Science Innovation Lab strives to develop new and bold approaches to address challenging biomedical questions for topics that could benefit from a fresh or divergent quantitative perspective. The Biomedical Data Science Innovation Lab involves an academic year-long series of stimulating online “microlab” activities aimed at examining the scale and scope of the targeted biomedical research domain, reviewing potential data science solutions, and for sparking creative thinking. Guest lectures throughout provide context, insight, and challenge participants to think deeply about how data can drive new thinking about biomedical problems. Prior topics have included mobile health, single cell dynamics, the microbiome, rural health and environmental exposures, and in 2021, the brain. Activities culminate in an intensive five-day residential workshop facilitating interdisciplinary teams toward the generation of multidisciplinary research programs. Peer and mentored feedback serve to provide critical input on projects, rigor, and polish. Prior knowledge of research at the interface of the biomedical and data science is not required; rather, candidates with either quantitative or biomedical expertise who demonstrate their willingness to engage in collaborative multidisciplinary research are highly encouraged to apply. Women scientists and researchers from under-represented minorities are particularly welcome. 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.
Facilitators and Scientific Mentors
During the Biomedical Data Science Innovation Lab, professional facilitators assist the participants and accelerate the idea formulation process, while a team of scientific experts serve as mentors and impartial referees. For a detailed definition of each specific role of the Biomedical Data Science Innovation Lab, please read section Definitions and Roles below.
Working under the guidance of these mentors, participants will form teams during the workshop to develop interdisciplinary projects to address ethics of artificial intelligence (AI) in biomedicine. The lab will include opportunities for learning about NIH and NSF funding through interaction with program officers. Teams are supported in the development of proposals for submission to funding agencies at the conclusion of the workshop.
Activities, Outcomes, and Success Stories
People often ask us ‘What is the Biomedical Data Science Innovation Lab? What happens at one? What are the outcomes?’ To provide you with answers to these questions and more, we have produced a book, which provides an overview of our Biomedical Data Science Innovation Lab activities and features the attendees and outcomes from our 2018 event on the mathematics of single cell dynamics.
List of Publications from Past Participant Projects or Teams:
- A Multipollutant, longitudinal analysis of the associations between urinary tungsten and incident diabetes in a rural population
- Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
- Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction
- Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
- Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data
- Development and application of an evidence-based directed acyclic graph to evaluate the associations between metal mixtures and cardiometabolic outcomes
- Each patient is a research biorepository: informatics-enabled research on surplus clinical specimens via the living BioBank
- Emerging Priorities for Microbiome Research
- Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer
- Hybrid Statistical and Mechanistic Mathematical Model Guides Mobile Health Intervention for Chronic Pain
- Improving Pain Management in Patients with Sickle Cell Disease from Physiological Measures Using Machine Learning Techniques
- Interdisciplinary data science to advance environmental health research and improve birth outcomes
- Measuring Pain in Sickle Cell Disease using Clinical Text
- Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities
- Periphery Plots for Contextualizing Heterogeneous Time-Based Charts
- Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots
- Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy
- Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health
- Sex as an Effect Modifier of the Association Between Co-Exposure to Multiple Toxic Metals and the Risk of Type 2 Diabetes
- Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART)
- Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study
Review of applicants will be rigorous and not all candidates will be selected to attend. A particular emphasis will be placed on candidates demonstrating a strong commitment to collaborative/team science and those with a high impact track record of peer reviewed publications. A committee will select approximately 30 of the applicants to take part in this one-of-a-kind event. Travel and lodging expenses are fully covered for all participants. All participants must commit to engaging in all 4 of the virtual "microlabs" starting in October, 2021, as well as staying for the entire duration of the 5-day event in June, 2022.
Applications are due by 11:59PM ET, July 30, 2021.
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