On Sept 19 2019, the CTO of Sauti, Lance Hadley presented research titled Innovating Past Data Collection Obstacles for East Africa’s Women Cross-Border Traders: Evidence from Sauti East Africa to the Sustainable Inclusive Aid for Trade Symposium in Nairobi.
The research proposes an experimental survey methodology for hidden populations, such as cross-border traders (CBTs) in East Africa. Recognizing the empowering role of cross-border trade for women in East Africa, interventions that reduce gendered barriers to small-scale trade are increasingly sought-after by policy-makers and development practitioners. Yet, collecting data that reliably maps the behaviour of difficult to sample populations, such as women CBTs, has typically proven to be a challenging exercise for researchers, policy-makers, and solution designers. We employ Sauti’s platform’s user interaction data to analyze how CBTs prioritize different types of business information and the demographic effects on business information needs.