DPPD in action
Across the globe, teams of development practitioners, researchers and data scientists have used the DPPD method to identify local innovators and scale their solutions, from Indonesian farmers who have produced above-average crop yields to communities in Somalia that have preserved rangelands through frequent droughts
Ecuador
Using earth observation data, official statistics and administrative data, the team aimed to find sustainable farming practices to scale to reduce the negative effects of livestock farming on deforestation in Ecuador.
Egypt
In Egypt, the team used citation and publication data to identify and characterise academics who achieve significantly higher-than-average research outcomes.
Germany
Public data on COVID-19 infections, official administrative statistics, mobility data and weather data were used by the team in Germany to identify districts that more successfully contained the spread of COVID-19.
Indonesia
In Indonesia, remote sensing data, official statistics and administrative data were used to identify rice-farming villages with significantly higher agricultural productivity than neighbouring villages with similar socio-economic and environmental conditions.
Mexico
In Mexico City the team used geospatial data, official statistics, administrative data, publicly available crime reports and 911 calls to identify public spaces with lower than expected rates of violence against women and girls compared to spaces with similar traffic, socio-demographic and economic conditions.
Niger
In Niger, the team used earth observation data, official statistics and administrative data to find cereal-growing communities that produce higher than expected yields of sorghum and pearl millet despite the challenges of droughts and conflict.
Somalia
Using earth observation and administrative data, the team in Somalia identified pastoral communities able to sustain the health of their surrounding rangelands despite recurring droughts.
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