How learning supported conflict prevention in Somalia

The challenge: decisions without shared, verifiable evidence

In Somalia’s highly decentralized governance landscape, where federal, state and district authorities operate alongside powerful clan dynamics, local officials are expected to prevent disputes over land, water, representation and livelihoods from escalating into violence. Yet for years, decision-making was frequently constrained by partial information: conflict data existed, but it lived in separate humanitarian assessments, project reports, or external studies, with limited integration into government systems.

The missing piece was not more reporting, but a locally led mechanism to generate, validate, and integrate district-level evidence, transforming fragmented data into timely, actionable intelligence for those on the front lines of conflict resolution.

The shift: learning as the lever for system change

In 2022, UNDP Somalia engaged UNSSC to support a conflict mapping and analysis training aligned with Somalia’s National Reconciliation Framework, starting in Mogadishu. UNSSC designed and delivered the programme not as a one-off workshop, but as a connected learning pathway that could build skills, reinforce practice, and reduce reliance on external expertise over time.

The pathway combined two intensive five-day workshops in Mogadishu, with self-paced learning on UNSSC’s digital platform, followed by expert-led webinars and peer coaching, and concluded with a Training of Trainers that prepared 25 participants to integrate the new skills across districts.

This learning pathway then transitioned into a piloting phase in South-West State, hosted by DG Mustafa and his team. Building on the foundations established in Mogadishu, an in-person action planning training took place, bringing different stakeholders together. This was followed by a dedicated training for data enumerators, ensuring that those responsible for collecting information at community level were equipped with a shared methodology. 

Participants in the activities held in Baidoa (South-West State), represented the system as it functions in reality: ministry staff, district commissioners, mayors, civil society representatives, and data enumerators engaging directly with local communities affected by conflict. The focus was practical: build a systematic way to collect data from the district level, and then apply analytical tools to live challenges, using a shared methodology and a common language.

From ad-hoc perceptions to a shared conflict baseline

As skills moved from classroom to field, trained enumerators conducted structured data collection across pilot districts in South West State. Using the methodology refined through the learning process, they documented more than 130 conflict incidents through community interviews, focus group discussions and direct observation.

For the first time, district-level conflict information could be analysed inside a single, institutionalized framework, creating an empirical baseline rather than a patchwork of disconnected inputs.

What changed in practice: early warning became operational

Before the intervention, early warning existed informally, but lacked the structures, shared definitions, and institutional pathways needed to translate insights into coordinated preventive action. The training helped officials align their existing understanding of peace and conflict dynamics around a shared framework and common terminology, making it easier to compare risks and trends across districts, communicate early signs of tensions, and act collectively to prevent escalation. 

The outcome: the Somalia Conflict Navigator

Over time, these practices consolidated into what became known as the Somalia Conflict Navigator: a government-led decision-support approach linking conflict mapping, analysis and planning across district, regional and state levels.

Built on a government-owned conflict baseline generated by the enumerators trained under the UNSSC and UNDP partnership, the Navigator supports reconciliation planning by identifying conflict typologies, root causes and escalation patterns. It helps connect early warning to early action, informing preventive strategies that respond to clan-driven, resource-induced and climate-related tensions through policy, institutional and community-based measures.

Crucially, roles and responsibilities around data were clarified; methods for collection and validation were standardized; and evidence began to inform planning and coordination across institutions.

Why it matters

In fragile and conflict-affected settings, change is often claimed in strategies and speeches. Here, it shows up in practice: trained officials collecting shared evidence, analyzing it together, and planning preventive action before tensions escalate.

The effects have already begun to extend beyond Southwest State, with national discussions underway on scaling elements of the approach. New tools may strengthen predictive capacity in the future, but the foundational shift has already occurred: Somalia moved from fragmented information toward preventive action, led by the institutions closest to the communities they serve.