The Summer Institute for Big Data (SISBID) is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data.

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.

2022 Modules

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SISBID
Module 1
Data Wrangling with R
  • Meeting Times
    Mon, Jul 25, 1-7:30am PST
    Tue, Jul 26, 1-7:30am PST
    Wed, Jul 27, 1-4am PST
BD2201: Data Wrangling with R
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SISBID
Module 2
Visualization of Biomedical Big Data
  • Meeting Times
    Wed, Jul 27, 4:30-7:30am PST
    Thu, Jul 28, 1-7:30am PST
    Fri, Jul 29, 1-7:30am PST
BD2202: Visualization of Biomedical Big Data
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SISBID
Module 3
Supervised Methods for Statistical Machine Learning
  • Meeting Times
    Mon, Aug 1, 1-7:30am PST
    Tue, Aug 2, 1-7:30am PST
    Wed, Aug 3, 1-4am PST
BD2203: Supervised Methods for Statistical Machine Learning
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SISBID
Module 4
Unsupervised Methods for Statistical Machine Learning
  • Meeting Times
    Wed, Aug 3, 4:30-7:30am PST
    Thu, Aug 4, 1-7:30am PST
    Fri, Aug 5, 1-7:30am PST
BD2204: Unsupervised Methods for Statistical Machine Learning