The workshop photo for the 2018 Evolutionary Quantitative Genetics Workshop All lecturers, the course assistant, and participants are shown except for Emília Martins, who had not yet arrived. The ferry MV Samish can be seen in the background, leaving Friday Harbor. The 2019 photo will replace this once it is available.
This is the WordPress site for the Evolutionary Quantitative Genetics Workshop, which will be held June 10-14. 2019, at University of Washington Friday Harbor Laboratories in Friday Harbor, Washington.
Please feel free to share comments, questions, resources, etc. on this WordPress site. Just ask for help if you get stuck by emailing email@example.com.
If you wish to read about the aims and objectives of the Workshop, please visit its Friday Harbor Laboratories site. The site you are on right now is the WordPress site for lecturers to post, share, and view the Workshop content, and once the Workshop starts, for student contributions as well. It will ultimately contain all the 2019 workshop content.
To find out more about the Workshop, you can find the link on this page to the page with links to the Workshops from previous years, including lecture projections, notes, and exercises for last year’s Workshop, and video recordings of lectures from some previous Workshops. Go to the “Previous years” link in the heading of this page and follow the links to individual lectures and exercises, and the links to videos of the lectures for the years in which those were posted.
The cost of the workshop was $1000, to be paid after acceptance. The two scientific societies generously agreed to provide a $200 compensation to participants. This was paid after the workshop, to participants who completed the workshop. A condition of receiving the compensation is that the participant have joined that society by that time. Each society compensates up to 13 of the participants, for a total of up to 26. The capacity of the workshop is 30 people, so this should cover almost everyone (priority will be given to those registering earliest).