Hello! Hope your year is going well.
We’d like to invite you to consider applying to be a part the Long Beach Peninsula Acoustic Music Foundation/WillapaBay AiR Artist in Residence Winter Use Program, scheduled during January of 2018.
Set on 16 acres, the Willapa Bay AiR campus has a main Lodge and kitchen, 5 cabins, 2 studios for work, and an additional bedroom in the Lodge complex. There is room for individual work as well as for group sessions and rehearsals. The cabins are not designed for more than one person to occupy; if you’ll be collaborating with a spouse or significant other please let us know.
Here’s the website for the Willapa Bay Air facility and program in general: www.willapabayair.org
The links at the bottom of the page are:
· A project Proposal form. Space is limited, and we will be looking to select those who would benefit most from the unique environment of the Willapa Bay AiR. For that reason, please provide as much detail as possible on what you hope to accomplish during your stay.
· The Winter Program schedule (included as a part of the Proposal form).
· The LBPAMF/Willapa Bay AiR Winter Music Residents’ Manual.
Use the “Edit” links that appear when you click on the document links below to view.
Willapa Bay AiR and the Long Beach Peninsula Acoustic Music Foundation are underwriting the fixed operational expenses of the facility. Food will be provided, including buffet-style breakfast and lunch and a catered sit-down dinner each night. The cost of meals and catering is expected to be ~$46 per day in residence; however, the Foundation will contribute half of this, so the cost per resident is ~$23/day. Daily housekeeping is the responsibility of the residents.
If you’re interested, please complete the Proposal form and return it to (or scan the completed form and email it back to us).
P.O. Box 1242
Long Beach, WA 98631
Please let us know if you have any questions or need additional info. You can send email email@example.com, call Sue (360-771-5708), or call Bill (360-901-0962).
Sue & Bill Svendsen