Project Hack Day is an opportunity for BIDS Fellows and Researchers to devote an entire day to project work with collaborators - and the projects are entirely up to you.
We'll have the 190 Doe workspace available to us + invited guests.
Edit this hack pad by clicking on the pencil in the upper right. Questions? Email Diya.
09:00–09:30 Breakfast
09:30–10:30 Project pitches
10:30–12:30 Hacking
12:30–13:00 Lunch
13:00–14:00 Fellows Talk (by Marla Stuart) & Discussion
14:00–16:15 Hacking
16:15–16:30 Tea
16:30–end 5-10 min project (progress) presentations
Happy hour, off-campus (?)
Ecology Challenge [Stéfan van der Walt]
https://www.ecodse.org/
Data Science Challenge in which we use remote sensing data from low flying airplanes to infer the location and type of trees in forests.
Interested? Please read this overview
Participants: Chris Kennedy, Deborah Sunter,[you?]
Eventbrite Public Dashboard [Diya Das]
Eventbrite doesn't have a public-facing dashboard to share high-level registration/check-in information (for promoting events), but they do have an API.
Interested? Add your name here: Raymond Yee
Dear perspective ECODSE participant,
Thank you for your interest in participating in the NIST Data Science Evaluation on “Plant Identification with NEON Remote Sensing Data”. The competition deadline is December the 15th.
If you are interested in participating please send us asap your team name, the name of the members of your team (it's totally fine if it's just you), and the email address your team will use for submissions. You can send them by email at at <redacted> or <redacted>.
Full information about the scope, data, timeline, and evaluation of the three tasks at https://www.ecodse.org/.
In short, you can work on any subset of the 3 tasks you are interested in, you do not have to work on all of them. Task 3 is the most straight forward task and can be completed using common classification methods on the provided data table. Task 2 is likewise based mostly on tabular data. Task 1 is the most complicated because it involves a combination of spatial and image data.
Also, we are planning on writing up the results of this competition for publication, either in a single paper involving active participants or as a series of small papers with each competing team writing up their methods and results as a short paper that accompanies an overall summary.