Making Ecological Modelling Accesible with EcoCommons
summary
EcoCommons is a cloud platform that turns R packages into scalable workflows, funded with a $5M build that took years and a three year overhaul, and it runs millions of models across integrates thousands of curated datasets and exposes around twenty R algorithms via point‑and‑click workflows and Jupyter notebooks. It standardizes messy biodiversity and climate data, produces reproducible maps (example: koala projections showing potential pockets in Seattle, Texas, Florida) and informs field work for species with fewer than forty individuals.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 2:29EcoCommons features
- 4:23Live species modeling demo
- 8:05Why ecological modeling matters
- 9:52Accessible data barriers
- 10:57Supporting user workflows
- 12:26Conservation impact
- 13:49Sustainable community
- 14:30Call to action
- 15:37Q&A
related talks
02h 59mExploring Eco topics with Python
38mBig Data Oceanography
49mDoing for Sustainability, What Open Source Did for Software
28mPython for Planet Earth: Climate Modeling and Sustainability.. with Drishti Jain
01h 00mEngineering a Sustainable World
24mMindSpore's Foundation Model Platform Promotes the Ecological Development of Foundat...
09mGen AI Workflows for Climate Risk Modeling in Food Systems
48mAccelerate science, research, and innovation with AWS