On November 25, 2021, the Data Powered Positive Deviance (DPPD) initiative launched the DPPD handbook. It provides step-by-step guide to applying the DPPD method — a mixed methods approach that relies on a combination of traditional and non-traditional data for identifying grassroots solutions to complex development problems.

Read the DPPD handbook

By Ana M. Grijalva, Head of Exploration, UNDP Accelerator Lab Ecuador,
Paulina Jiménez, Head of Solution Mapping, UNDP Accelerator Lab Ecuador
with Basma Albanna, Doctoral Researcher, University of Manchester, and Jeremy Boy, Network Data Visualization Engineer, UNDP Accelerator Labs.

No Forest, No Life: The Importance of Deforestation

A picture of the Amazon Forest. ©Unsplash Fotos

Deforestation is an…

By Alejandra Cervantes, Technical Advisor Agenda 2030, GIZ Mexico,
Gabriela Ríos, Head of Exploration, UNDP Accelerator Lab Mexico
and Itzel Soto, Data Analyst, Codeando México

Mexico City. Photo: Traveler, 2016.

In every community, there are individuals or groups with uncommon behaviors who, while having access to similar resources, find better solutions to challenges than their…

By Andreas Gluecker, Project Manager, GIZ Data Lab,
with Erik Lehmann, Data Scientist,
GIZ Data Lab,
and Esther Barvels, GIS and Remote Sensing Specialist, GIZ.

Are farmers of this plot particularly successful in growing rainfed crops?
© PromAP / Eco-consult: Hama Bouka.

In every community, there are individuals or groups with uncommon behaviors who, while having access to similar resources, find better solutions to challenges than their…

By Hodan Abdullahi, Head of Exploration, UNDP Accelerator Lab Somalia,
with Basma Albanna, Doctoral Researcher,
University of Manchester,
and Esther Barvels, GIS and Remote Sensing Specialist,
GIZ.

The Data Powered Positive Deviance method acts as a kaleidoscope, refracting, combining, and reflecting different perspectives and angles to identify and understand positively deviant communities — Photo by Lyle on Flicker

In every community, there are individuals or groups with uncommon behaviors who, while having access to similar resources, find better solutions to challenges…

By Jeremy Boy, Data Scientist, UNDP Accelerator Labs together with Andreas Gluecker, Project Manager, GIZ Data Lab.

The following piece was originally published by the UNDP Accelerator Lab Network on August, 21, 2020. For more details on the project background, please read our first blog on this series “Launching the Data Powered Positive Deviance Initiative”.

Satellite image of land cover classification in Joya de los Sachas in Ecuador (2020)

At the beginning of 2020, the UNDP Accelerator Labs Network kicked-off a…

Written by: Pulse Lab Jakarta

The following piece was written by our partners from Pulse Lab Jakarta and was originally published on June 22, 2020.

Authors: Basma Albanna, Data Science Fellow, Pulse Lab Jakarta — Doctoral Researcher, University of Manchester; Dharani Dhar Burra, Data Scientist, Pulse Lab Jakarta; and Michael…

Data Powered Positive Deviance DPPD

We are an international collective that is dedicated to utilizing big data to find effective locally developed solutions to complex problems.

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