Experiment Intelligence
Next Best Experiment
Ranked by expected information gain. Each experiment targets the highest-uncertainty area most likely to change the model.
Information Gain by Experiment
#1
Measuring Humidity-Confort Tradeoff in Urban Canyons
85%
#2
Quantifying the AC-UHI Feedback Loop at District Scale
72%
#3
Mapping the Albedo-Temperature Saturation Curve
65%
Variables to Measure
Urban Humidity LevelPedestrian Thermal Comfortstreet_canyon_ratiowind_speed
What would most change the model
If humidity-dominated scenarios are identified, the model would redirect tree planting away from narrow canyons, fundamentally changing city planning recommendations
Why this matters
Resolving whether trees help or hurt comfort in specific urban geometries would dramatically improve urban planning decisions for tropical and subtropical cities
Resolves uncertainty in:
v_tree_canopy → v_humidity → v_thermal_comfort causal path
Related contradictions:
Tree canopy cools through evapotranspiration but simultaneously increases humidity, which can reduce...