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…


This piece is a preliminary technical report of an on-going pilot on applying Data Powered Positive Deviance in response to the Covid-19 crisis in Germany. We would be happy to receive your feedback and further ideas on our analysis.

Author: Iskriyana Vasileva, Business Intelligence Analyst and aspiring Data Scientist, with…


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…


By Monique Sternin, co-Founder of the Positive Deviance Approach and Adjunct Assistant Professor, Tufts University,
Cole Zanetti,
DO, MPH, Positive Deviance Facilitator, Director of Digital Health at Rocky Vista University College of Osteopathic Medicine,
Lars Thuesen,
Positive Deviance Facilitator, Founder and Change Leader, WIN, the Welfare Improvement Network

The partnership…


By Richard Heeks and Basma Albanna, Centre for Digital Development, University of Manchester

Nations around the world are struggling with their response to the Covid-19 pandemic. In particular, they seek guidance on what works best in terms of preventive measures, treatments, and public health, economic and other policies. …


Written by: GIZ Data Lab [External Blog]

The following piece was written by our partners from GIZ Data Lab and was originally published on April 14, 2020. It highlights first results of applying DPPD in a Hackathon to the Covid-19 spread in Germany. The preliminary model presented below is currently…

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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