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About DS-I Africa Resource Café Session

The DS-I Africa Resource Café Session is an interactive engagement designed to spotlight and explore resources available through the DS-I Africa Resource Catalog. This session will provide participants with a practical overview of tools, datasets, platforms, and support resources that can strengthen data science, innovation, and collaborative research across Africa.

Through guided interactions and demonstrations, attendees will learn how to access, navigate, and leverage these resources for research, capacity building, and impactful projects.

What to expect at the DS-I Africa Resource Café Session:

  • Overview of key resources in the DS-I Africa Resource Catalog.
  • Interactive café-style discussions.
  • Knowledge sharing and peer learning.
  • Opportunities for collaboration and networking.

The Resource Café is hosted by the Data Science for Health Discovery and Innovation in Africa (DS-I Africa) Coordinating Center, which is funded by the U.S. National Institutes of Health (NIH) Common Fund. For questions, contact francis.agamah@uct.ac.za and ds-i-africa.admin@uct.ac.za.

Exhibitors

Project: UtiliZing health Information for Meaningful impact in East Africa through Data Science (UZIMA-DS)

Presenter: Sharon Tonui & Derick Imbati

Title: UZIMA-DS Research Administration chatbot

Project: Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa

Presenter: Christina Riley

Title: The Reveal Platform

Project: Research Training in Data Science for Health in Rwanda (DST-HIRWA)

Presenter: Dufitimana Esaie & Emmy Mugisha

Title: A web-based geospatial visualization platform & End-to End Deep Learning Method for Automated Malaria Diagnosis

Project: DICE: Leveraging Data Science Applications to Improve Children's Environmental Health in Sub-Saharan Africa

Presenter: Patrick Attey-Yeboah & Gloria Langmatey

Title: DICE - Air quality app (GhanaAQ App)

Project: African Population & Health Research Centre

Presenter: Steve Cygu

Title: Automl-No Code Platform