TEAM ACTIVITY 3: Share Your Progress¶
Use this time to prepare for the final report back, where you'll share an interesting result/outcome from your project and discuss potential future plans.
Day 3 Report Back¶
Select one or more people from your group to give a final report back. You will share this page on the screen as your presentation. Presentations should be no longer than 4 minutes.
- Project Title:
- Wildfire AI
- Research Question:
- How do wildfire severity, human activity, and environmental factors effect water quality downstream from fire sites?
Motivation: Using machine learning (AI) approaches to answer novel, difficult questions about how combined factors influence key ecosystem metrics is an important aspect of understanding complex environmental systems. Understanding these systems is crucial to managing them sustainably and increasing their resilience. Machine learning offers an approach to model and understand these complexities, paving the way for action.
- One interesting graphic/finding:
Systems diagram:¶
Visualizing recent fires and available water quality sampling sites within the study area:¶
Visualizing a sample watershed:¶
Next technical step: use hydrological data to find water sampling sites that are downstream of fire sites
- What are you thinking about doing next with your team? Long-term, short-term?
- Short term:
- Slack channel
- 1 pager for ESIIL newsletter
- Long term:
- Published paper
- What’s missing: what resources, people, data sets, etc. does your team need?
- Time!
- More training and/or expertise on tech systems/infrastructure
- Human impact data, land cover before 2000
Reminder¶
There is the opportunity for groups to continue working on their projects as an ESIIL Working Group. If you love your team and want to continue working together, considering submitting a Working Group Application this fall. See the ESIIL website for more information: https://esiil.org/working-groups.
Thank you for participating in the 2024 ESIIL Innovation Summit!!