Summer Institutes

Summer Institutes 2021: Online July 7-29

Select from more than 45 online graduate-level short courses that teach the latest in statistical methods, techniques and analyses. Scholarship applications are available for SISG and SISMID modules. Registration is open for all institutes. Early registration rates end June 18.

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2021 Dates

  • Summer Institute in Statistical Genetics (SISG): Online July 7-23, 2021
  • Summer Institute in Modeling in Infectious Diseases: Online July 7-23, 2021
  • Summer Institute in Clinical & Epidemiological Research: Online July 7-29, 2021
  • Summer Institutes in Statistics for Big Data: Online July 12-23, 2021

2020 Op-Ed Talks

Below are links to recordings of the 2020 “lunch-time” series of 15-minute Op-Ed Talks.

Tuesday July 14: Genetic studies in under-represented populations

Nanibaa’ Garrison, Institute for Society and Genetics, UCLA  - Recording

Friday July 17: Research funding from the NSF DEB

Chris Balakrishnan, NSF Division of Environmental Biology  - Recording

Wednesday July 22: Societal implications of research on plant genetics

Ed Buckler, Cornell University and USDA  - Recording

Thursday July 23:  Reckoning with our eugenic roots and cultivating anti-racism in science

Rori Rohlfs, San Francisco State University Department of Biology  - Recording

Friday July 24: Data-driven vs mechanistic modeling of sars-cov-2

Daniela Witten, University of Washington Department of Statistics  - Recording

Monday July 27: Foundations of Evidence Evaluation

Ian Evett, formerly Home Office Forensic Science Service, UK  - Recording

Tuesday July 28: Bringing Genomics into Clinical Care: Genomic Medicine Programs of the National Human Genome Research Institute (NHGRI)

Teri Manolio, NHGRI Division of Genomic Medicine  - Recording

Wednesday July 29: 21st Century Science, 18th Century Process: Science in the Adversarial System.

Erin Murphy, New York University School of Law  - Recording

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.