Synthesizing behavioral evidence and research
Two problems limit what behavioral science can offer development. The first is well known: the evidence base was built largely on WEIRD samples - Western, Educated, Industrialized, Rich, Democratic - so behavior across most of the world remains poorly understood. The second is less discussed. A great deal of what practitioners have learned never gets published. Programs that worked, programs that didn't, and the contextual detail explaining why sit in internal evaluations and unwritten institutional memory.
Between them, GBEND's members hold a substantial store of that knowledge. The network exists to widen the lens and to bring what is already known into the open: mapping the evidence, synthesizing it across contexts, and turning it into resources decision-makers can actually use.
Better evidence, more representative of the global majority and available to act on.
Adopting AI and technology in behavioural science
New AI-enabled tools are transforming how behavioral evidence is gathered, synthesized and applied, particularly in low-resource settings where traditional research methods can be slow or costly. We showcase and evaluate emerging technologies, helping members understand which tools are ready to adopt and how to use them responsibly.
Developing behavioural interventions for antimicrobial resistance
Inappropriate use of antibiotics is accelerating antimicrobial resistance, a growing threat to global health. There is a growing body of evidence that behavioral science can shift AMR-resistance across healthcare, agriculture, and communities. GBEND is building a portfolio in this area.




