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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Cumplir con la promesa: fortalecer los datos administrativos para la Agenda 2030
Holding on to the promise: strengthening administrative data for Agenda 2030
One piece of the population data puzzle: civil registration and identity management systems to help the extreme poor
Deputy Secretary-General's remarks at Data for Now Event
After the splash: turning ambition into action with #Data4Now
Watch Now - Capturing Who We Are: CRVS and ID to Leave No One Behind Highlight Reel
Cepei and the Global Partnership teamed up to launch the “Data for development in Latin America” Webinar Series
CEO Claire Melamed's remarks at the UK Voluntary National Review
The most unsexy data could hold the most promise
Data for Sustainable Development Goals Dinner, Speech by Vice President of the Republic of Ghana Dr. Mahamudu Bawumia
The Race to Innovate for Development Should Not Leave Foundational Data Systems Behind
