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Zooming in: A field inquiry to learn about differentiated practices for sustainable livestock farming in Ecuador
Tracing National Climate Policy Implementation from Policy Documents using NLP
Season's Greetings from the GIZ Data Lab Team
Detecting human settlements from satellite images using computer vision
Diving deeper into SDG 11: Discovering public and green spaces in urban environments
Deforestation, Cows, and Data: Data Powered Positive Deviance Pilot in Ecuador’s Amazon
Make cities and human settlements inclusive, safe, resilient and sustainable: Tracking SDG 11 with alternative data
Identifying Safe(r) Public Spaces for Women in Mexico City
Searching for Positive Deviants Among Cultivators of Rainfed Crops in Niger
Rangelands Defying the Odds: A Data Powered Positive Deviance Inquiry in Somalia
Digitization of paper-based surveys: Collaborating with the Sustainable Rice Platform projects
Data in fragile contexts – Enhancing context monitoring in Anbar
Using Data to Shed Light on the Shadow Pandemic of Domestic Violence in Mexico
Positive Deviance: Positive Outliers Matter
Looking for what makes the difference:
An Interview with Catherine Vogel & Andreas Glücker
COVID-19 POSITIVE DEVIANCE RESPONSE
Diving into data at the AI@Sustainability Hackathon
Positividade* and data against COVID-19: Description of a Python-based model prototype
Big Data & Labor Markets - Taking First Steps
How can Positive Deviance and Big Data be a set up for a Date?
Positive Deviance:
A Data-Powered Approach to the Covid-19 Response
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