Data Powered Positive Deviance for Sustainable Development
The Data Powered Positive Deviance Initiative (DPPD), a joint alliance between the UNDP Accelerator Labs Network, the GIZ Data Lab, the University of Manchester Centre for Digital development, and UN Global Pulse Lab Jakarta, is rooted in the belief that knowledge on how to tackle complex sustainable development challenges is best informed and spread by people who face those challenges and find their own solutions. The Initiative is testing a new Data Powered Positive Deviance method for sustainable development through a series of pilots, which combine traditional and non-traditional data sources to identify positive deviants in new and enhanced ways.
Positive Deviance assumes that in every community, there are individuals or groups who develop uncommon practices to cope with the challenges they face, which sets them apart from peers who have access to the same resources. Identifying these positive deviants and empowering them to share their practices with the rest of their communities is at the heart of Positive Deviance work and has already proven successful in several countries and sectors.
The DPPD method is novel in that it uses readily available data—satellite imagery, biophysical data, or any other source of digitally recorded data—to narrow down the search for possible positive deviants across large geographic areas and timeframes before going to meet them in their environments.
Four initiatives: Ecuador, Mexico, Niger, Somalia
Somalia/Somaliland: Supporting Pastoralist Communities Amidst Environmental Challenges
The UNDP Somalia Accelerator Lab together with its local GIZ partners, are using satellite imagery and climate data to identify positively deviant pastoralist communities that are able to sustain their way of life, despite enduring the effects of climate change.
Mexico: Addressing Violence Against Women in Public Spaces
The UNDP Mexico Accelerator Lab together with its local GIZ partners are using crime reports and urban data to identify positively deviant public spaces where women are safest in Mexico City.
Ecuador: Mitigating Deforestation through Sustainable Cattle Raising
The UNDP Ecuador Accelerator Lab together with its local GIZ partners, are using land cover/ land use and official cattle vaccination data to identify positively deviant cattle farmers who operate in zones of expansion of the agricultural frontier without further contributing to deforestation.
Niger: Ensuring Food Security Through Sustainable Agriculture
The UNDP Niger Accelerator Lab and its local GIZ partners are using remote sensing and biophysical data to identify positively deviant cereal farming communities that produce significantly better yields of rain-fed sorghum and pearl millet, while dealing with the negative effects of droughts and conflict.
Let’s collaborate. Join us!
In the spirit of working out loud, the Data Powered Positive Deviance Initiative will open the doors to its weekly work sessions with pilot teams in Ecuador, Mexico, Somalia and Niger.
Each team is experimenting with the Data Powered Positive Deviance method, using non-traditional data sources to identify local, innovative practices that respond to the following questions below. Each of the four sessions in this mini-series will focus on the work of one of the pilot teams.
Collaborative Sessions: Reserve a seat
Data Powered Positive Deviance, Under the Hood: Somali Rangelands Defying the Odds
Date: Monday, April 12, 2021
Time: 8:00 am EST > Somalia
Data Powered Positive Deviance, Under the Hood: Addressing Violence Against Women in Public Spaces in Mexico
Date: Tuesday, April 20, 2021
Time: 10:00 am EST > Mexico
Data Powered Positive Deviance Under the Hood: Deforestation, Cows and Data
Date: Wednesday, April 14, 2021
Time: 10:00 am EST > Ecuador
Data Powered Positive Deviance, Under the Hood: Ensuring Food Security Through Sustainable Agriculture in Niger
Date: Thursday, April 22, 2021
Time: 10:00 am EST > 16:00 pm CET