From data to dignity: Improving our work in Colombia through data science

Every year, thousands of Venezuelan people on the move travel long distances through Colombia in search of safety, stability, and basic support. To respond faster and more effectively to their needs, ZOA partnered with Zero Hunger Lab at Tilburg University. By combining field experience with data science, this collaboration has helped ZOA understand migration patterns, improve voucher assistance, and strengthen dignity for people on the move.

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20 november 2025

Case study

Transforming support through data science

Between 2022 and 2025, ZOA supported more than 51,000 Venezuelan 'caminantes' along Colombia’s main migration routes. Many arrive exhausted, with no money, limited access to food, and high protection risks. To meet these needs quickly, ZOA introduced an innovative rapid assistance model, providing multi-sectoral electronic vouchers within just 30 minutes after identification. This approach allows people to choose what they need most (food, hygiene items, transport, or other essentials), restoring dignity and giving them the flexibility to make their own decisions.

Since 2022, ZOA has collaborated with Zero Hunger Lab, a research group at Tilburg University that applies data science to global food security challenges. Together, we analysed thousands of data points from ZOA’s Cash and Voucher Assistance (CVA) programme in Colombia, aiming to better understand spending behaviour, improve vendor networks, and strengthen the overall programme.

This partnership resulted in seven research projects, three of which are highlighted in our new report. Below are the main findings that have helped ZOA improve its support to people on the move.

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1. Understanding voucher expenditure priorities

Using predictive modelling, the research showed that people’s spending choices are shaped by their specific vulnerabilities. For example, pregnant women tend to prioritise different items than single men. The analysis also highlighted how store proximity affects what people can realistically purchase. These insights helped ZOA refine vendor selection, ensuring essential items were available near major transport hubs along the migration routes.

2. Determining the ideal vendor mix

An optimisation model examined which types of shops caminantes used most frequently. The results were clear: supermarkets provide the best balance of accessibility and product diversity and are therefore the most effective vendors in this context. This helped ZOA design a more efficient vendor network, offering both choice and convenience, without overwhelming people with too many options or placing stores too far from the route.

3. Managing supplier relations

Research highlights the importance of maintaining good relations with vendors, addressing concerns when they arise, and removing barriers to participation for small vendors. For example, ZOA offered flexible payment terms to encourage inclusion of small vendors in the programme.

Data that strengthens dignity

The partnership between ZOA and Zero Hunger Lab shows how meaningful collaboration between an NGO and academia can lead to better, faster and more dignified assistance. By combining field realities with data-driven insights, ZOA was able to adapt its programme in real time and meet the needs of people on the move more effectively.

For more details and conclusions, read the full paper below