The Global Partnership blog features commentary from in-house experts, and partners, with thought leadership on pressing issues in data for development. You will also find links to the latest Data Values Digest articles with thought-provoking posts from across the Data Values community on unlocking the value of data for all.
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The latest from the Data Values Community
Sustainable development data needs good statistics officials–but how strong are their data skills?
José Antonio Mejía Guerra, Christian Schuster, Magdalena Rojas, Jan Meyer-Sahling, and Kim Mikkelsen share insights from their survey of 13,300 statistics officials in 14 countries in Latin America and the Caribbean on the skillsets of statistics officials.
Building trust through data in rural Nigeria
Digest #85 | Without data that helps governments understand the reality of disabled people’s lives, policies can leave critical needs unaddressed. Inclusive data can break this cycle, writes Zuliehat Ohunene Abdullahi.
Building AI with - not for - communities
Digest #84 | AI is one of the most promising technologies in decades for those working in international development, but new technologies cannot succeed in isolation, writes Ronda Železný-Green, PhD.
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Data science for health and climate in Africa: Meet the CAN Fellows

Building more resilient cities using geospatial data

Using satellite data to uncover environmental harms

As Global Partnership For Sustainable Development Data turns 5, the world needs actionable data more than ever

Time series for nature: Preserving mangroves in Zanzibar

Earth observation data to tackle development challenges: Reflections from the WEF Annual Meeting in Davos

Using earth observation data to save the mangrove ecosystem in Sierra Leone

The most unsexy data could hold the most promise

Five action areas for using data to ‘leave no one behind’

Making data count for internally displaced people: Five questions with the Internal Displacement Monitoring Centre

How the agriculture sector is leading the way for investment in data
