Doug Radford
@dougradford.bsky.social
Pinned
1/4 - Check our new paper in @ijwildlandfire.bsky.social
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
Reposted by Doug Radford
I wanted to offer some thoughts on the Gates climate memo that has been circulating this week. While I can't directly speak for others, I can say that my own response is one of dismay & deep frustration (and that this view is shared by many climate/Earth scientists). [1/n]
October 30, 2025 at 5:02 PM
I wanted to offer some thoughts on the Gates climate memo that has been circulating this week. While I can't directly speak for others, I can say that my own response is one of dismay & deep frustration (and that this view is shared by many climate/Earth scientists). [1/n]
1/4 - Check our new paper in @ijwildlandfire.bsky.social
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
October 31, 2025 at 12:05 AM
1/4 - Check our new paper in @ijwildlandfire.bsky.social
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.