Oxford iHealth
  • About
  • Blog
  • Teaching
    • Open and Reproducible Science in R
    • Learning Resources
  • Projects
    • Champions Programme
  • Packages

Fostering innovation, research, and education in the field of computational sciences for global health.

We provide a learning environment for open and reproducible science and collaborate with partners to leverage this learning to contribute to solutions to global health challenges.

Our packages Our mission

Oxford iHealth is

Modern, effective, and ethical data use driving evidence-based strategies and policies for improving global health

State-of-the-science analytic and computational workflows that are open and reproducible

Discoveries that impact on global health and measures that assess global health impact

Latest posts

Welcome iHealth Champions 2025

After their satisfactory completion of the Open and Reproducible Science in R module and for the first batch to have had the option to undertake specific sessions on data…

Ernest Guevarra
Jul 23, 2025

Waiting for orchid

A compute workstation capable of highly-efficient running of large language models for artificial intelligence workflows and development is on its way.

Ernest Guevarra
Jul 21, 2025

It takes a village…

Science is a fundamentally communal activity, shaped by collaboration, shared knowledge, collective resources, and mutual accountability. Its strength lies in the diverse…

Proochista Ariana
Oct 16, 2024
No matching items

Featured packages

codeditr: Implementing Cause-of-Death Data Checks Based on the WHO CoDEdit Tool

codigo: Interface to the International Classification of Diseases (ICD) API

africalaws: Interface to the Laws.Africa API

 

Copyright 2025, University of Oxford MSc in International Health and Tropical Medicine

  • Edit this page
  • Report an issue
Cookie Preferences