Dr Basma Albanna recently gave a lecture at Africa in Science exploring her research into Data-Powered Positive Deviance.

In the lecture she introduces the new method that combines traditional (e.g. surveys & interviews) and non-traditional data (e.g. from remote sensing and mobile phones) to identify and understand development-related outperformers, and urges development and data science professionals to apply this structured, data-powered method to a range of development challenges and in a wider set of development domains, thereby enabling more effective use of the non-traditional digital datasets that are increasingly available.

Basma began her research into Data-Powered Positive Deviance as part of her PhD at the Global Development Institute. She is a founding member of the Data Powered-Positive Deviance initiative. Data Powered Positive Deviance is a global initiative collaboratively created by GIZ Data Lab, Pulse Lab Jakarta, UN Accelerator Labs Network and the GDI’s Centre for Digital Development.

Find out more about Data Powered Positive Deviance

Publication outperformance among global South researchers: An analysis of individual-level and publication-level predictors of positive deviance

Basma Albanna, Julia Handl and Richard Heeks

Data-powered positive deviance: Combining traditional and non-traditional data to identify and characterise development-related outperformers

Basma Albanna, Richard Heeksa, Andreas Pawelke, Jeremy Boy, Julia Handl and Andreas Gluecker

The Data-Powered Positive Deviance Handbook

Basma Albanna & Andreas Pawelke with Jeremy Boy & Andreas Gluecker

 

• Find out more about our PhD programme Development Policy and Management

 

 

 

Top image: Photo by Alina Grubnyak on Unsplash

Note: This article gives the views of the author/academic featured and does not represent the views of the Global Development Institute as a whole.