ConGen 2027 Online Workshop Content:
Course Objectives: To provide training in conceptual and practical aspects of data analysis for understanding the population and evolutionary genomics of natural and managed populations. The course covers concepts and methods including the coalescent, Bayesian, and likelihood-based approaches. We emphasize next-generation sequence data analysis (RADs, DNA-capture, whole genomes) and the interpretation of output from important statistical approaches, pipelines, and software with >12 leaders in population genomics. You’ll take raw reads through to genotype calling, assemble a genome, estimate Ne and inbreeding from runs of homozygosity, detect selection (landscape genomics), conduct assignment tests, and more.
Who should apply: Advanced undergraduates, M.S. & Ph.D. students, post-docs, faculty, agency researchers.
Application is free. Registration fees are due after you have been accepted and invited to register by the organizing committee. (if invited, we’ll email you the registration instructions)
*Instructors include Eric Anderson, Ellie Armstrong, Chris Funk, Marty Kardos, Brenna Forester, Will Hemstrom, Paul Hohenlohe, Gordon Luikart, Rena Schweizer, Arun Sethuraman, Steve Spear, Robin Waples, Matt DeSaix, & more TBA (*subject to change). See Course Instructors Page.
Where: Online via Zoom. Lectures are video-recorded to allow asynchronous participation (overseas) and re-viewing during and long- after the course
When: January, 2027 (>15 lectures by >12 experts)
For details: see “Agenda” link with lecture titles
Cost of Attendance: Early Bird Discount is $890, which includes all lectures (live & recorded) by 12 expert instructors, Q&A sessions, hands-on exercises with worksheets and real datasets, copies of PowerPoint slides, networking and time with instructors discussing your data and research. The course materials (datasets, lecture videos, recommended readings and book chapters, etc.) will remain available online for years. Past course lecture videos on additional topics will be available (gene expression, epigenetics, landscape genetics).