Datasets of enormous complexity and size are being generated in the diverse areas of genomics, imaging, electronic health records, social media and environmental monitoring. The insights obtained from these massive data sources will inform the prevention and treatment of human diseases and play a major role in biology, medicine and public health in the coming decade. But more training is needed to prepare the next generation of leaders to tackle these challenges.
The Big Data Summer Institute in Biostatistics has been designed to introduce undergraduate students to the growing number of approaches to big data:
- Students gain a comprehensive overview of the field of big data working on mentored research projects.
- Participants will have the opportunity to take part in professional preparation activities and attend virtual journey lectures. Journey lectures showcase academic journeys of researchers at different stages of their career in data science.
- At the conclusion of the institute, each research project group presents their findings and learns about other student projects at a concluding research symposium.
- Throughout the program, our participants have the unique opportunity to interact with distinguished faculty and graduate students from the U-M departments of biostatistics, information science, statistics, and electrical engineering and computer science.
The program receives input and guidance from an internal advisory committee consisting of four University of Michigan faculty members:
- H V Jagadish (EECS)
- Michael Boehnke (BIOS)
- Jeremy Taylor (BIOS)
- Xuming He (STAT)