Group
The Biological Weapons Convention (BWC) Implementation Support Unit (ISU), in partnership with the Institute of Global Health of the Faculty of Medicine of the University of Geneva, is pleased to announce a sponsored participation in the GRAPH online training courses: Data science R Basics and Beyond and Data science Python Basics and Beyond.
Data Sciences play an increasing role in epidemiology, disease surveillance, and preparedness for and response to an outbreak, regardless of its origin. They provide tools and methods to collect, curate, visualize, analyze, model, and report on outbreak data. Disease outbreak analytics are vital for each stage of the response continuum, from detection and initial response to intervention and postintervention, focusing on lessons learned and capacity building. Data science and outbreak analytics are also relevant to understanding molecular epidemiology, phylogenetics, case delays, epicures, paired delays, contact visualization, mapping, and transmission tree reconstruction.
Sponsorship for the GRAPH online training course is funded by the Norwegian Agency for Development Cooperation in support of Article X of the Biological Weapons Convention. In 2025, 40 participants will be trained across three online programmes. Each programme runs for 12 weeks and includes live weekly workshops, hands-on exercises, and mentorship.
Training Details
- Intro to R for Health Data Analysis (English)
· Target: 15 participants
· Dates: April 13 – June 29, 2025
· Weekly Workshops: Tuesdays 3pm - 5pm GMT or Sundays 3pm - 5pm GMT
· Help Sessions (optional): Mondays 1pm - 3pm GMT, Thursdays 3pm - 5pm GMT - Intro to R for Health Data Analysis (French)
· Target: 15 participants
· Dates: April 13 – June 29, 2025
· Weekly Workshops: Wednesdays 5pm - 7pm GMT
· Help Sessions (optional): Mondays 1pm - 3pm GMT, Thursdays 3pm - 5pm GMT - Intro to Python for Health Data Science (English)
· Target: 10 participants
· Dates: April 12 – June 28, 2025
· Weekly Workshops: Mondays 3pm - 5pm GMT or Saturdays 3pm - 5pm GMT
· Help Sessions (optional): Mondays 1pm - 3pm GMT, Thursdays 3pm - 5pm GMT
Registration: Training in Health Data Analytics
Language: English and French
Target Audience:
Early/mid-career scientists and students in the field of or with interest in human or animal health (virology, microbiology, public health, related biological sciences) and computer science
Deadline for application: 25 March 2025