Summer Institutes

Summer Institutes 2022

Graduate-level short courses that teach the latest in statistical methods, techniques and analyses.

SISG
26th Summer Institute in Statistical Genetics
For more than two decades, the Summer Institute in Statistical Genetics (SISG) has introduced geneticists to modern methods of statistical analysis and statisticians to the challenges posted by modern genetic data.
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SISBID
7th Annual Summer Institute in Statistics for Big Data
The Summer Institute for Statistics in Big Data is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data.
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SISMID
13th Annual Summer Institute in Statistics and Modeling in Infectious Diseases
The Summer Institute in Statistics and Modeling in Infectious Diseases designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling and to introduce statisticians and mathematical modelers to the statistical and dynamic problems posed by modern infectious disease data.
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SISCER
8th Annual Summer Institute in Statistics for Clinical & Epidemiological Research
The Summer Institute in Statistics for Clinical & Epidemiological Research offers introductory and advanced short courses in methods for clinical research and epidemiology.
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2022 Dates (all courses will be held online)

  • Summer Institute in Statistical Genetics (SISG), July 6-29, 2022
  • Summer Institute in Modeling in Infectious Diseases (SISMID), July 11-27, 2022
  • Summer Institute in Clinical & Epidemiological Research (SISCER), July 11- August 3, 2022
  • Summer Institutes in Statistics for Big Data (SISBID), July 25 - August 5, 2022

Join Us

One of the goals of Summer Institutes 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.

Who Should Attend

Participants represent colleges and universities, research labs, health organizations, private industry, non-profit organizations and government agencies. Attendees range from graduate students/postdocs to senior level scien­tists, and represent genetics, biomedical research, biostatistics, epidemiology, clinical trials, data science, and many other fields.