AI
Voice assistant in national languages
A speech recognition and synthesis prototype in Mooré and Dioula, led by the Data & AI Lab.
The Lab turns field questions into knowledge, then into concrete solutions.
Created by Africa Data Entry, the Lab brings together data scientists, engineers and associate researchers. It works on high-stakes topics for the continent, publishes its results and puts them to work for our assignments and clients.
Its work feeds our publications, the Academy, the webinars and the Africa Data Fair.
Our research areas
Field-data quality
Methods and tools to measure and improve the quality of data collected in difficult contexts.
Frugal AI
Smaller, cheaper models suited to available infrastructure.
Local languages
Recognition and automatic processing of Mooré, Dioula, Fulfulde and other national languages.
Open data
Open, documented, reusable datasets for research and innovation.
Interactive barometer
Organisational data maturity barometer
Average maturity score (out of 100) by dimension and organisation type, from our teams' assessments.
Demo data — replace with the barometer’s actual results.
Open data
Agricultural price observatory
A weekly survey of market prices, published as open data and available by SMS.
Insight
Article
Article
Insight
White paper
Infographic
Podcast
Academic partnerships
The Lab hosts final-year interns and works with universities and engineering schools in the region, including several GSDA partners (2iE, Université Ouaga 3S, CNRST, WASCAL).