NCEAS Summer Institute 2013

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Feb 11, 2013

The National Center for Ecological Analysis and Synthesis (NCEAS) is pleased to invite applications from early-career researchers for a three-week intensive training workshop in ecological analysis and synthesis, to take place at NCEAS in Santa Barbara, CA, June 19–July 10, 2013.

Participants will receive hands-on guided experience using best practices in the technical aspects that underlie successful synthesis – from data discovery and integration to analysis and visualization, and special techniques for collaborative scientific research. Instructors (including but not limited to Jim Regetz, Ben Bolker, Matt Jones, Mark Schildhauer, and Stephanie Hampton) will advise participants in small-group synthesis projects, and also lead daily hands-on exercises that cover a breadth of topics.

Thanks to generous support from the Packard Foundation, all travel and living expenses of participants will be covered during the workshop.

Applicants should be early-career researchers – here defined as roughly within five years post-Ph.D., although exceptional candidates in the final stages of graduate work will be considered.

Please complete the online application. Once you register you will receive an email token that will take you to the application.

The application includes a series of short essays. The questions can be found below to facilitate preparing answers that can be pasted into the online form.

Applications must be received no later than 5 PM PST on March 1, 2013.

For inquiries, please contact Juliann Aukema.

Essay questions for application:

  • Research Interests (450 characters/75 words)
  • Career Goals (300 characters/50 words)
  • What would you hope to achieve by participating in this training workshop? (900 characters/150 words)
  • Describe your proficiencies in statistical analysis of ecological data (450 characters/75 words)
  • One part of the training workshop will be hands-on, small-group projects. Please suggest a topic for a small-group synthesis project. Include, briefly: 1) topic, 2) data sets (and their availability), and 3) possible analytical approaches. (900 characters/150 words)