[okfn-US] Open Science Codefest 2014: Last Day for Discounted Rooms and Free Registration

[Morgan Visalli]

Register for Open Science Codefest and book a room at the Fess Parker Hotel
in Santa Barbara, CA by August 1st for free registration and discounted
room rates!

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INVITATION TO OPEN SCIENCE CODEFEST 2014



WHAT: Open Science Codefest will gather researchers from ecology,
biodiversity science, and other earth and environmental sciences with
computer scientists, software engineers, and developers to collaborate on
coding projects of mutual interest.



WHEN: September 2-4, 2014



WHERE: The Fess Parker Hotel in Santa Barbara, California



COST: Registration is free. Rooms are available at the Fess Parker at a
discounted rate until August 1st. Register here:
http://nceas.github.io/open-science-codefest/



Inspired by hack-a-thons and organized in the participant-driven,
unconference style, the Open Science Codefest is for anyone with an
interesting problem, solution, or idea that intersects environmental
science and computer programming. This is the conference where you will
actually get stuff done -- whether that's coding up a new R module,
developing an ontology, working on a data repository, creating data
visualizations, dreaming up an interactive eco-game, discussing an idea, or
any other concrete collaborative goal that interests a group of people.



Suggest a session topic or review proposed sessions in the Open Science
Codefest Github project (
https://github.com/NCEAS/open-science-codefest/issues?labels=&milestone=&page=1&state=open).


To suggest a session, create a "New Issue" and apply the "proposed session"
label.



Email the Codefest team at: codefest at nceas.ucsb.edu



Learn more on the Codefest website:
http://nceas.github.io/open-science-codefest/



Please forward this announcement and spread the word about Open Science
Codefest 2014. People from a wide variety of disciplines, geographic
regions, and skill levels are encouraged to attend!



Follow us on Twitter #OSCodefest



Sponsored by: National Center for Ecological Analysis and Synthesis
(NCEAS), Renaissance Computing Institute (RENCI), the National Science
Foundation (NSF), rOpenSci, DataONE, Mozilla Science Lab
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