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 MejÃa 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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We won’t fill the SDG financing gap without strong data and statistical systems
Shift the power in humanitarian data: Support the Data Values Advocates program
Mapping the big picture: Using earth observations to monitor the environmental impact of gold mining in Suriname
How data-driven approaches are advancing efforts to end gender-based violence in Zanzibar
From data to dollars: Maximizing climate investments through better information
Making pizza without dough: the state of funding for data
Data on disability and migration – what do we know?
COP26: How investing in climate data makes climate finance go further
What we’ve learnt about antimicrobial resistance from engaging communities in Kenya
Building more resilient cities using geospatial data
The questions we all should be asking on intersectionality and data
