Leading Research in Data Science for Social Impact
We bridge the gap between cutting-edge data science research and real-world societal challenges, with a special focus on African language technologies.
🌍 Data Science for Society
Developing methods and tools that enhance decision-making capabilities while ensuring user-centered approaches to data science research.
🗣️ African Language NLP
Advancing natural language processing for African languages through innovative tools, datasets, and methodologies.
🤖 Machine Learning Research
Developing ML approaches that address real-world challenges while considering ethical and societal implications.
Our research spans multiple domains, from developing language technologies for under-resourced African languages to creating data-driven solutions for societal challenges. We publish in top-tier venues and actively contribute to open science through our datasets, models, and tools.
Datasets
Curated datasets for African language research and social impact studies
Software & Models
Open-source tools and pre-trained models for researchers worldwide
Documentation
Comprehensive guides and tutorials for using our resources
Machine translation platform for African languages, making communication across language barriers more accessible.
Grassroots organization focused on advancing NLP research and applications for African languages.
Comprehensive data repository tracking COVID-19 in South Africa, supporting research and policy decisions.
The Data Science Law Lab (DSLL) recently hosted a dynamic panel discussion focused on the intersection of copyright, law, and data science in Africa. DSFSI was proud to participate through lab members Prof. Vukosi Marivate and Dr. Tsosheletso Chidi, who joined moderator Prof. Chijioke Okorie for a wide-ranging conversation. Held as part of our ongoing collaboration with DSLL, the event explored real-world legal, ethical, and community challenges faced by researchers working with African language data—and why these issues matter for innovation and inclusion in AI.
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Interested in contributing to cutting-edge research that makes a difference? We welcome collaboration and new members.
