MeetingOfInterest:Meeting-393

Edit meeting info

COMET - Coastlines and people Open data and MachinE learning sprinT

Kitty Hawk North Carolina, United States
11 - 15 May 2020

Deadlines Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed Official website https://copecomet.github.io Meeting contact Anna Braswell anna.braswell@colorado.edu

We would like to invite applications to the 'Coastlines and people Open data and MachinE learning sprinT' (COMET) to be held from May 11-15 in Kitty Hawk, NC. This sprint is the first in a series of three 72hr events focused on open, data-driven Coastlines and People science.

We have funding for ~10-15 participants to attend the event (lodging, travel, per diem). Participants will bring a research idea (feasible within the 72hrs) to pitch to the group during the event. Ideas should focus on using open data to do science related to Coastlines and People. After project pitches, participants will divide up into self-selected groups to work on ideas for the next 72 hrs, ultimately producing open deliverables by the end of the sprint.

Groups will give a final report to other participants describing the work they accomplished during the event. We intend for all code written at the event to be open, put on GitHub, and given a DOI. Groups will also be asked to submit a report/working paper to the EarthArXiv preprint service.

Our website with more detail and the full application procedure is available here: https://copecomet.github.io

The application will be open until February 15 2020.

Please feel free to share this announcement with your colleagues, students, and friends. And reach out to us if you have any questions.

Sincerely,

Anna Braswell and Evan Goldstein

Evan B. Goldstein, Ph.D.
Research Scientist
Department of Geography, Environment and Sustainability
The University of North Carolina at Greensboro
http://ebgoldstein.wordpress.com

twitter: @ebgoldstein

---

Of interest for:

Coastal Working Group

Coastal Vulnerability Initiative

Artificial Intelligence & Machine Learning Initiative