Using machine learning to assess the livelihood impact of electricity access
Nathan Ratledge, Gabe Cadamuro, Brandon De La Cuesta, Matthieu Stigler, Marshall Burke
Topics & Concepts
LivelihoodElectrificationCausal inferenceContext (archaeology)Computer scienceInferenceEnvironmental economicsGridElectricityImpact assessmentMachine learningData scienceArtificial intelligenceEconometricsEconomicsAgricultureEngineeringGeographyPublic administrationElectrical engineeringPolitical scienceArchaeologyGeodesyEnergy and Environment ImpactsChild Nutrition and Water AccessPoverty, Education, and Child Welfare