Data only gains value when it is used. That sounds obvious. In practice, it almost never happens by default.
National Statistical Offices across Asia and the Pacific produce enormous volumes of data. The assumption is that dissemination leads to uptake, and uptake leads to impact. Sneha's work has shown that this chain breaks down almost immediately, long before data reaches a policy decision.
To understand why, she asks government officials a simple question: what's in your bag? Participants pull out currency notes, house keys, umbrellas, whatever they happen to be carrying, and use those objects to construct data stories. The exercise is deliberately low-stakes and physical. It reveals something fundamental: data does not communicate itself. Meaning is built by the people in the system, shaped by context, institutional culture, and whether anyone ever made evidence feel accessible in the first place.
This talk draws on that work to explore what it actually takes to shift institutional appetite for evidence. Not better dashboards or longer reports, but a different understanding of how meaning travels through a system and who is responsible for carrying it.
You will leave with a clearer picture of how national statistical systems operate, where the chain from data production to policy action breaks down, and what practitioners, journalists, researchers, and community advocates can do to strengthen it.