Strategic foresight
Horizon scanning, trend analysis, early indicators, scenario development, and assessment of emerging policy challenges.
Analytical Department
Foresight Lab
Advanced methods for understanding emerging risks, testing alternative futures, and improving decisions under uncertainty.
Mandate
Foresight Lab is a permanent analytical department within the Horn of Africa Institute. It supports the Institute’s three research programs and develops independent work on emerging risks, structural change, and decision-making under uncertainty.
The Lab combines regional knowledge with computational and structured analytical methods. Its role is to identify signals, test assumptions, compare plausible futures, and clarify the conditions under which policies may succeed or fail.
Core capabilities
Data science and machine learning
Data integration, statistical learning, predictive analysis, pattern detection, model evaluation, and responsible application.
Geospatial intelligence
GIS, remote sensing, spatial analysis, risk mapping, mobility patterns, infrastructure, and environmental monitoring.
Systems modeling
Agent-based models, system dynamics, network analysis, simulation, causal structures, and sensitivity testing.
Risk and warning systems
Indicator design, event monitoring, structured risk assessment, escalation analysis, and warning-to-action frameworks.
Decision support
Policy experiments, scenario comparison, tradeoff analysis, implementation testing, and communication of uncertainty.
Standards for analytical use
Models and forecasts inform judgment; they do not replace it. The Lab documents assumptions, identifies data limitations, evaluates uncertainty, and tests model behavior before drawing policy conclusions. Analytical outputs are interpreted alongside institutional knowledge, field evidence, and regional expertise.
Institute-wide role
Within Conflict and Stability, the Lab supports early warning, geospatial risk analysis, and simulation of conflict dynamics. Within Economic Development, Governance, and Institutions, it supports forecasting, policy simulation, infrastructure analysis, and institutional diagnostics. Within Climate Resilience, Environment, and Water, it supports remote sensing, hydrological modeling, vulnerability assessment, and compound-risk scenarios.
Analytical workflow
From weak signals to informed action.
- Define the decision and relevant uncertainty
- Assemble and assess appropriate evidence
- Develop models or structured scenarios
- Test assumptions and sensitivity
- Compare consequences across alternatives
- Communicate findings, limits, and decision implications