ForesightAfrica/.github

Modular data infrastructure for validated ingestion, semantic extraction, statistical modelling, and longitudinal forecasting across multi-sector datasets in Africa. # .github Modular data infrastructure for validated ingestion, semantic extraction, statistical modelling, and longitudinal forecasting across multi-sector datasets in Africa. ForeSight Overview ForeSight is a modular data infrastructure designed to validate, integrate, and analyse multi-source datasets in order to produce longitudinal forecasts, risk indicators, and decision-support insights for Africa. Across Ghana and West Africa, large volumes of research, administrative, and institutional data are produced every year. However, these datasets are fragmented, inconsistently validated, and rarely interoperable. As a result, decision-makers often operate with partial evidence, delayed signals, or non-comparable indicators. ForeSight addresses this problem not by generating new data, but by enforcing coherence, validation, and structure across existing data sources, transforming them into a reliable intelligence layer that can support public policy, economic planning, environmental resilience, and social development. Core Design Principles ForeSight is built on the following non-negotiable principles: Validation before intelligence No dataset enters the analytical or modelling layer without passing explicit statistical, structural, and metadata checks. Separation of concerns Ingestion, validation, semantic extraction, modelling, synthesis, and presentation are implemented as independent systems with clear boundaries. Dataset sovereignty and auditability Each dataset retains its identity, assumptions, and provenance. Aggregation happens only through explicit weighting and transparent logic. Human-in-the-loop by design Automated extraction and synthesis are always accompanied by confidence scores and review pathways. Policy- and research-grade rigor The system is designed to withstand academic review, institutional audits, and regulatory scrutiny. What ForeSight Is (and Is Not) ForeSight is: A data validation and intelligence infrastructure A longitudin …