Turning Global Data into Local Action: Delivering Better Outcomes for the World’s Most Vulnerable

Arianna Pugliese attended the event organized by the Rockefeller Foundation’s Reimagining Humanitarian Nutrition Security Program together with UN humanitarian partners - IOM, OCHA, UNHCR, UNICEF and WFP - on Thursday, 24 September. She took some notes from the discussion and is sharing them here in case you missed the event.

A central message was that fragmented data and institutions make collaboration essential. Both quantitative and qualitative data are needed to accurately understand humanitarian situations, identify violations and emerging needs, and ensure that responses reflect the priorities and preferences of affected communities.

The discussion highlighted three key principles: define, deliver and devolve. This means defining needs through reliable information and evidence, delivering responses according to priorities identified on the ground, and devolving decision-making by incorporating local knowledge and expertise.

Participants emphasized that data creates value only when it is trusted, accessible and inclusive. Harmonizing and standardizing data across organizations can strengthen cooperation and reduce fragmentation. At the same time, data and AI should be seen as enablers rather than solutions in themselves. Strong underlying infrastructure, systems and institutions are essential for technology to deliver meaningful and sustainable results.

Another recurring point was that no single organization has all the solutions, expertise or technology required. Effective humanitarian action therefore depends on partnerships, collaboration and shared responsibility, while keeping the needs and experiences of people and communities at the center of decision-making.

Finally, the discussion highlighted the importance of anticipatory action frameworks. These should combine reliable forecasts with pre-agreed financing and clearly defined action plans, enabling humanitarian actors to respond before crises escalate, rather than waiting until needs become more severe.