Using satellite imagery to understand and promote sustainable development
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …
development outcomes are fundamental inputs into both research and policy. For instance …
Machine learning and phone data can improve targeting of humanitarian aid
The COVID-19 pandemic has devastated many low-and middle-income countries, causing
widespread food insecurity and a sharp decline in living standards. In response to this crisis …
widespread food insecurity and a sharp decline in living standards. In response to this crisis …
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
Accurate and comprehensive measurements of economic well-being are fundamental inputs
into both research and policy, but such measures are unavailable at a local level in many …
into both research and policy, but such measures are unavailable at a local level in many …
Microestimates of wealth for all low-and middle-income countries
Many critical policy decisions, from strategic investments to the allocation of humanitarian
aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty …
aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty …
The impact of machine learning on economics
S Athey - The economics of artificial intelligence: An agenda, 2018 - degruyter.com
I believe that machine learning (ML) will have a dramatic impact on the field of economics
within a short time frame. Indeed, the impact of ML on economics is already well underway …
within a short time frame. Indeed, the impact of ML on economics is already well underway …
[HTML][HTML] EO+ Morphometrics: Understanding cities through urban morphology at large scale
Earth Observation (EO)-based mapping of cities has great potential to detect patterns
beyond the physical ones. However, EO combined with the surge of machine learning …
beyond the physical ones. However, EO combined with the surge of machine learning …
[HTML][HTML] Energy poverty prediction in the United Kingdom: A machine learning approach
Energy poverty affects billions worldwide, including people in developed and developing
countries. Identifying those living in energy poverty and implementing successful solutions …
countries. Identifying those living in energy poverty and implementing successful solutions …
Machine learning from schools about energy efficiency
We use high-frequency panel data on electricity consumption to study the effectiveness of
energy efficiency upgrades in K–12 schools in California. Using a panel fixed effects …
energy efficiency upgrades in K–12 schools in California. Using a panel fixed effects …
Sustainbench: Benchmarks for monitoring the sustainable development goals with machine learning
Progress toward the United Nations Sustainable Development Goals (SDGs) has been
hindered by a lack of data on key environmental and socioeconomic indicators, which …
hindered by a lack of data on key environmental and socioeconomic indicators, which …