Call for Applications: Enroll for the Funded Online Training in Data Science
Closing Date: 25 March 2025
Call for Applications: Enroll for the Funded Online Training in Data Science
Overview
Biological Weapons Convention: Online Training in Data Science for Effective Outbreak Response conducted in cooperation with the Institute of Global Health, Faculty of Medicine, University of Geneva
Training in health data analytics
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.
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.
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.
Training Details
12 weeks with live weekly workshops, hands-on exercises, and mentorship.
- 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
How to Apply
Register and attach the following document:
· A letter of recommendation from your institution confirming institutional support for your application and explaining how the training will benefit the institution.
Language
English and French
Expected time commitment
Live weekly session 2-4 hours/week
Self-paced: 8 hours/week
Funding
The BWC Implementation Support Unit will cover the training fees of the selected participants with funding from the Norwegian Agency for Development Cooperation (Norad).
Important Notice
To ensure national ownership, the BWC ISU will seek the endorsement of the selected applicants by their relevant authorities (e.g., National Contact Point, Ministry of Foreign Affairs, or Permanent Mission).
Objectives and Learning Outcomes
Gain competence in R or Python programming for the analysis of health data
Classification
Course level: introductory
Methodology: Online Instructor-led Course
Registration: Application Process
Expected time commitment
Course edition: April 12, 2025 – June 29, 2025
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
The course is available in English and is held in the Disarmament Education Dashboard, thus participants need a computer or mobile device, with audio and reliable internet connection. No special software is required.
Click Here To Apply
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