Summer Institutes

Summer Institutes 2020: Online July 13-31

Select from more than 45 graduate-level short courses that teach the latest in statistical methods, techniques and analyses. Early registration rates available through June 22. Registration and scholarship applications are now open. 

News & Reminders

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Op-Ed talks

There will be a “lunch-time” series of 15-minute Op-Ed talks of broad interest to Summer Institute participants. You may attend any of these you wish. Pre-registration is not needed. Op-eds will be recorded and links to the recordings posted afterward.

All Op-Ed talks 11:10 a.m.-11:25 a.m. Pacific Time.

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.