Innovation Lab opportunity: Junior faculty encouraged to apply

Junior faculty members (Assistant/Associate Professors) are encouraged to apply for the 2017 Innovation Lab: “Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome.” This novel, interdisciplinary opportunity to collaborate will be held June 19-23 at the Wylie Inn and Conference Center in Beverly, MA. The deadline to apply is March 12, 2017, 11:59 p.m. Eastern Time.

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 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 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.

More about the Lab and the application process 

Specific questions can be emailed to

Share this page
Suggested Articles
Researchers predict power outages caused by Hurricane Matthew

Steven Quiring An interdisciplinary team of researchers is using a unique model to predict how many U.S. residents will lose power because of Hurricane Matthew. As of Thursday morning, Oct....

Smartphone tracking shows fear affects where youth spend time

Over an hour less spent each day in areas with fearful residents By Jeff Grabmeier Chris Browning Youth spend less time in their neighborhoods if area residents have a high fear...

Keeping a "watch" on health

As smart devices continue to open the doors of possibilities, TDA affiliate Emre Ertin and other engineers at Ohio State are finding new ways to monitor and detect health problems...

Mehmet Caner and big data

Economics professor Mehmet Caner arrived at Ohio State in August as part of a group of newly hired faculty affiliated with Translational Data Analytics @ Ohio State, formed to create...

How soil moisture can help predict power outages caused by hurricanes

In the days before Hurricane Matthew, researchers used satellite maps of soil moisture to help forecast where the power would go out along the East Coast. At the American Geophysical...