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. One of the goals of SISBID is to strengthen the statistical and data science proficiency 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, individuals with disabilities, and 2SLGBTQ groups.
Courses will be held online July 24 - August 4, 2023
- 2023 schedule:
- July 24-26: Module 1: Data Wrangling with R, Instructors: Ava Hoffman and Carrie Wright
- July 26-28: Module 2: Data Visualization, Instructors: Dianne Cook and Heike Hoffman
- July 31- August 2: Module 3: Supervised Learning, Instructors: Ali Shojaie and Noah Simon
- August 2-4: Module 4: Unsupervised Learning, Instructors: Genevera Allen and Yufeng Liu
- 2023 fees coming soon.
- Scholarship funding is not available for SISBID.
- Each module runs two and a half days and 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.
- Enroll in multiple modules to create an experience that best suits your interests.
- Instructors are world-class faculty with expertise in all aspects of biological Big Data.
- Participants receive a certificate of completion for each module.
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Read about the Summer Institutes including session time frames, course format, registration and policies.
Rates for 2022
|Group||Early-Bird Fee per Module (Through June 16)||Regular Fee per Module (After June 16)||Payment with UW Budget Number|
|Academic, Government, Non-Profit||
|Corporate, For-Profit Organizations||