I am a strong proponent of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and reproducibility in computational ecology. Rather than extracting data behind closed doors, I focus on building open-source infrastructure for the wider research community.
This section details my contributions to standardising global disease surveillance, alongside links to my open datasets, interactive web applications, and reproducible analytical pipelines.
‘SiteTool’: a ‘Shiny’ application for field site selection and evaluation
Open Source
GIS
Shiny
R
Ecology
Publication
Web App
Map Liberator: An open-source tool for recovering spatial epidemiological data from static situation reports
Open Source
Spatial Epidemiology
GIS
Shiny
R
Preprint
FAIR Data
A minimum data standard for wildlife disease research and surveillance
Open Data
Data Standard
Policy
Zoonosis
Publication
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