Welcome to the UCI Data Science Initiative Climate Science Hackathon! The following contains the rules and schedule for the weekend along with descriptions of the data sets available for you to analyze. Check out the SpaceTime workshop for modeling spatio-temporal modeling strategies.
- No contact with people outside your team (except for the helpers, of course!)
- You are free to use any software for the analysis and visualizations, including open source packages (e.g. scikit-learn, etc)
- All plots and graphs of the data must be your own, but can be produced using aforementioned packages/software (you cannot simply take a plot from a paper or online)
- You have from 10 am Saturday morning until the presentations at 1 pm Sunday to perform your analysis. We must leave the building at midnight Saturday, but feel free to continue working elsewhere.
- You only have 7 minutes to present your project to the judges (plus 1 minute to answer questions)! You will be cut off once the time limit is reached in order to get through the presentations in a timely manner. Use this time wisely to convey the main results and graphics from your project. Think of the presentation as a elevator speech or sales pitch. You will be judged on creativity, originality, and potential impact.
9 am: registration, coffee/bagels
9:15 am: opening remarks & presentations from ESS students
10 am: start working!
1 pm: lunch
6 pm: dinner
12 am: leave DBH
9 am: coffee
12:30 pm: lunch
12:55 pm: group photo - wear your t-shirt!
1 pm: project presentations
3 pm: award presentations
Choose one of the following data sets to analyze:
The organizers would like to extend a thank you to everyone who contributed to this event. A special thanks is in order to Zach Labe and Yara Mohajerani for their kickoff presentations (and also for Zach Labe's helpful advice with the sea ice data) and to Zach Butler for providing the fire data.
We would also like to acknowledge the hard work that was done to organize this event by Anna Chang & her staff and Wendy Anderson. Finally, we would like to thank Maritza Salazar for the insightful conversations had during the early stages of planning and for providing evaluation surveys.
- Chris Galbraith: [email protected]
- Micah Jackson: [email protected]