Complex Chemical Mixtures on Environmental Epidemiology
Following some initial meetings, faculty collaborators (Diane Henshel, James Klaunig, Zemin Wang, Bernice Pescosolido, and others) are continuing to meet to talk about a funding collaboration to develop a network science application aimed at understanding complex envirommental exposure risks. All potential collaborators are welcome to attend to discuss and joing this emerging working group.
One potential mechanism is NIH RFA-ES-17-001, Powering Research through Innovative Methods for mixtures in Epidemiology (PRIME) (R01) http://grants.nih.gov/grants/guide/rfa-files/RFA-ES-17-001.html. The purpose of the RFA is to stimulate the development of innovative statistical, data science, or other quantitative approaches to studying the health effects of complex chemical mixtures in environmental epidemiology. Development of novel methods and/or the application of quantitative methods from other fields to epidemiology are encouraged.