The National Socio-Environmental Synthesis Center (SESYNC) invites applications to a short course on data and coding skills for socio-environmental synthesis. We are hopeful that the 7th annual Summer Institute will continue as planned for Tuesday, July 21, 2020 (optionally July 20) through Friday, July 24, 2020, at SESYNC in Annapolis, Maryland. (Should any changes to the scheduled date occur, applicants will be notified promptly.) The short course will combine lectures, hands-on computer labs, and project consultation designed to accelerate the adoption of cyber resources for all phases of data-driven research and dissemination.
Through this short course, participants should expect to:
- Learn new scientific computing skills
- Overcome project hurdles
- Gain coding confidence
- Have fun.
Programming Basics (Optional)
Participants with no scientific computing experience are required to arrive on Monday, July 20 for beginner lessons introducing the R programming language. Teams are not expected to attend this optional day as a group, but instead to send members who may have less (or no!) experience with computer programming.
Members of SESYNC science teams (i.e., participants in a Pursuit or Workshop funded by SESYNC) will be given priority. Remaining space will be awarded to teams of 2-4 researchers who are actively collaborating on problems at the intersection of humans and the environment that involve quantitative and/or qualitative data. Participants may be at any career stage, from graduate student to senior researcher/faculty, and from academic, government, or non-profit sectors.
Each participant must be able to bring a laptop on which they can install open source software, and teams must bring data from a current research project they have worked on together.
SESYNC will cover eligible travel expenses, including flights and accommodations, for successful applicants. Please see our travel policies for complete information.
The course is designed for small teams and only one person from each team should begin the application process. Each proposed member will be instructed to confirm their interest, summarize their experience with scientific computing, indicate a preference for attending the optional "day zero" for a very basic introduction to scripting in R using RStudio, and upload a CV. Click here to apply.
Email Rachael Blake at firstname.lastname@example.org.
The University of Maryland is an Equal Opportunity Employer
Minorities and Women Are Encouraged to Apply