The University of Michigan (UM) and Shanghai Jiao Tong University (SJTU) will be conducting a joint research symposium April 21, 2016, to develop collaborative research projects between co-investigators from SJTU and UM. The objective is to match investigators who would respond to a call for proposals for a Seed Phase for joint research projects in the field of data science for sustaining critical infrastructures for the environment and human health.
Seed projects will develop innovative methodological approaches for data collection, data analysis, and data interpretation in the service of sustaining biodiversity and human livelihood
. Areas of interest include but are not limited to healthcare and biosensors, clean air and water, healthy food, reliable electricity, safe urban environments, sanitation and waste disposal, epidemiology, population growth, ecology, environmental toxins, antibiotic use, microbiome, atmospheric science, and sustainability. Methodological approaches might include developing or applying concepts from machine learning, computer vision, knowledge discovery, active sensing, optimal experimental design, spatio-temporal signal analysis, advanced data visualization or automated anomaly detection.
These Seed Projects would provide a basis for future joint proposals seeking external support. Successful Seed Project proposals, therefore, must have a strong potential for significant follow-on external funding as well as for technology transfer and commercialization.
If you are interested in participating in the symposium and potentially pursuing funding, please complete the attached faculty profile form
. This form will be provided to participants to help identify common research interests.
Details of the program in a Call for Proposals will be released at the time of the symposium with the expected due date of May 20, 2016