icipe's centralized data and software resources.

ICIPE's centralised data management infrastructure, helping scientists describe how their data is authored and managed across a project's lifetime from field collection through analysis, publication, sharing and re-use.

An international project dedicated to synthesising complex vector data into intuitive mapped surfaces to support vector control decision making, combining African mosquito occurrence, bionomics, insecticide resistance, human behaviour and environmental data.

Supports integrated, data-driven decision making across human, animal, plant and environmental health, with interactive tools for data exploration, geospatial visualisation and evidence-based planning.

Models how insects colonise and move through space over time using a 2D grid of unoccupied, colonised and exposed cells, with colonisation probabilities driven by habitat suitability, food availability and environmental conditions. Supports shapefile imports, configurable constraints, calibration and real-time visualisation of model outputs.

Combines satellite data, ground observations and modelling to monitor climate stress, Fall Armyworm infestations and Striga weed invasions across West and Central Africa, supporting proactive decisions by farmers, agricultural organisations and policymakers.

A research and training initiative integrating machine learning, AI, clinical practice, statistics and bioinformatics to improve health outcomes for at-risk mothers, children and adolescents across the region.