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

Basma Albanna; Richard Heeks; Andreas Pawelke; Jeremy Boy; Julia Handl; Andreas Gluecker

doi:10.1016/j.deveng.2021.100090

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

Basma Albanna, Richard Heeks, Andreas Pawelke, Jeremy Boy, Julia Handl, Andreas Gluecker

Research output: Contribution to journal › Article › peer-review

Original language	Undefined
Journal	Development Engineering
Volume	7
Issue number	100090
DOIs	https://doi.org/10.1016/j.deveng.2021.100090
Publication status	Published - 2022

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10.1016/j.deveng.2021.100090

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

author = "Basma Albanna and Richard Heeks and Andreas Pawelke and Jeremy Boy and Julia Handl and Andreas Gluecker",

year = "2022",

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AU - Albanna, Basma

AU - Heeks, Richard

AU - Pawelke, Andreas

AU - Boy, Jeremy

AU - Handl, Julia

AU - Gluecker, Andreas

PY - 2022

Y1 - 2022

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JO - Development Engineering

JF - Development Engineering

IS - 100090

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

UN SDGs

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