Creating shared understanding across informal information networks
Across Africa, people have always shared important information in ways that are practical, immediate, and rooted in daily life. In markets, savings groups, community gatherings, and across WhatsApp conversations, information flows constantly about prices, health concerns, job opportunities, and local challenges. This is not new. It is how communities have long made sense of their environment and responded to change.
What is often overlooked is that these everyday exchanges already form a kind of living data system. When traders talk about rising food prices, they are tracking economic shifts. When neighbours notice patterns of illness, they are observing public health trends. When transport operators discuss routes and demand, they are mapping movement and opportunity. These are not just conversations but ways of collecting, interpreting, and acting on information in real time.
Over time, people have also developed shared ways of understanding this information. A price increase is not just reported; it is compared to yesterday, last week, or last season. A shortage is recognised not only as an isolated issue, but as part of a broader pattern. Without formal training, communities have developed a common language that enables people to interpret situations in similar ways. This is how meaning is created collectively.
Trust has always been at the centre of this process. Information moves through people who are known and relied upon, such as group leaders, traders, community elders, or simply individuals seen as consistent and informed. When information is shared, it is often followed by action or response, even if informal. People adjust prices, change behaviour, or prepare for challenges. This constant cycle of sharing and responding is what keeps these networks alive and relevant.
At the same time, there are natural points where information is gathered and connected. Community organisations, cooperatives, and local leaders often act as bridges, bringing together insights from different groups. They may not always call it “data,” but they are already organising and translating information in ways that others can use. Through them, local knowledge travels beyond individual conversations and begins to inform wider understanding.
What makes this system work is not structure in the formal sense, but alignment in practice. People may not use the same tools or formats, but they often observe similar things, ask similar questions, and respond to shared realities. This creates a form of coordination without central control, where different pieces of information, gathered in different ways, still come together to form a clearer picture.
In many ways, this is how communities have always managed complexity. By combining different perspectives, checking information through experience, and adjusting based on what is seen and felt, they build a form of knowledge that is both grounded and adaptable. It is not perfect, but it is resilient.
As digital tools become more common, these existing networks are not being replaced but are actually being extended. A message that once travelled by word of mouth now moves through a phone. A discussion that once happened in a market now continues in a group chat. The medium may change, but the underlying system remains the same: people sharing, interpreting, and acting on information together.
This is how meaning and understanding have always been created: collectively, continuously, and in response to real life.



