Do you have junior faculty members (Assistant/Associate Professors) in your organization that would benefit from a novel, interdisciplinary opportunity to collaborate? Please encourage them to apply for the 2017 Innovation Lab: “Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome” taking place June 19th-23rd, 2017 at the Wylie Inn and Conference Center in Beverly, MA. The application deadline is March 12th, 2017 11:59PM Eastern Time and spots are filling up quickly. The Innovation Lab will focus on biomedical big data coming from the microbiome (e.g. metagenomic, metatranscriptomic, metabolomic, and other data from the microbiota inhabiting a diversity of environmental niches).
The goal of the event is to foster the formation of new interdisciplinary collaborations that will generate creative strategies for addressing challenges associated with the visualization, modeling, and analysis of biomedical big data coming from the microbiome. Such challenges arise from multifaceted data structures like networks and images, sparse or missing data, streaming of non-stationary time series data, the need for integration from multiple sources of data, interaction effects, etc. This Innovation Lab is intended to bring together expertise from the mathematical, statistical, and biomedical fields, to address interdisciplinary topics in biomedical data science critical to the effective use of microbiome big data.
Early-career investigators (Assistant/Associate Professors) from a broad diversity of quantitative (Mathematics, Statistics, Biostatistics and Computer Science) and biomedical (behavioral, biology, clinical science, ecology, microbiology) disciplines are highly encouraged to apply. The lab is open to any biomedical investigator who has research questions with an associated microbiome big data challenge or any quantitative investigator with relevant approaches and methodology to the analysis of microbiome big data. Selected participants will take part in a mentored, five-day workshop to form new interdisciplinary teams to tackle these data science challenges. At the end of the workshop, teams will have developed an idea for a research proposal that could be submitted to the NIH or NSF.
The 2017 Innovation Lab is being organized by the Big Data to Knowledge (BD2K) Training Coordination Center and is supported by the National Institutes of Health and the National Science Foundation.
For more information about the Lab and the application process, please visit the website http://bigdatau.org/innovationlab2017
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