The Summer Institute for Statistics in Big Data (SISBID) is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data. Ali Shojaie serves as the Director of SISBID.
The goal of SISBID is to strengthen the statistical and genetic proficiency and career preparation of scholars from all backgrounds, especially those from groups historically underrepresented in STEM such as racial and ethnic minority groups, low income, first generation college students, veterans, and differently abled and 2SLGBTQ groups.
July 13-29, 2020
- Module 1: Data Wrangling with R, Monday, July 13- Wednesday, July 15
- Module 2: Supervised Methods for Statistical Machine Learning, Wednesday, July 15- Friday, July 17
- Module 3: Unsupervised Methods for Statistical Machine Learning, Monday, July 20- Wednesday, July 22
- Module 4: Visualization of Biomedical Big Data, Wednesday, July 22- Friday, July 24
- Module 5: Advanced Machine Learning and Artifical Intelligence, Monday, July 27 - Wednesday, July 29
- We hope to post module fees by March 18 (revised from March 7).
- Sign up for the Summer Institutes email list.
Each module focuses on a different aspect of Big Data such as organizing and processing data for statistical analysis, visualizing data, or the challenges surrounding reproducible research.
- The two-and-a-half day module format includes formal lectures, computing labs, and hands-on case studies. Modules run all day Monday/Tuesday and Wednesday morning OR Wednesday afternoon and all day Thursday/Friday.
- Instructors are world-class faculty with expertise in all aspects of biological Big Data.
- Participants are encouraged to enroll in multiple modules to create an experience that best suits their needs. Individuals attending the institute will receive certificates of course completion in recognition of their participation.