In this webinar Ana Priesto Nemesio and Mario Santa Cruz explain data transformations used for graphical models and its training.
This video is part of ECMWF'...
This session explores how model behaviour varies across languages, cultures and contexts, and what this means for equitable AI adoption in low- and middle-income countries.
Featuring perspectives...
This is a recording of a live session from the DHIS2 workshop on spatiotemporal modelling of climate-sensitive disease that took place in Kigali, Rwanda in February 2026. For more information on th...
This is a recording of a live session from the DHIS2 workshop on spatiotemporal modelling of climate-sensitive disease that took place in Kigali, Rwanda in February 2026. This session covers how to...
Peter Reinhard Hansen* (University of North Carolina at Chapel Hill)
with Neville Francis (University of North Carolina at Chapel Hill) and Chen Tong (Xiamen University)
Discussant: Oriol González...
L’application de modélisation DHIS2 et la plateforme de modélisation Chap sont des outils open source destinés à la prévision des maladies sensibles au climat. Ils permettent de développer, accéder...
... share predictive models leveraging the power of machine learning/AI with DHIS2 data, while also taking advantage of DHIS's built-in data harmonization, visualization, sharin...
Dan Gillman, a recognized metadata expert will introduce some foundational elements for the Concepts Group: The variable cas...
Christine Laaboudi from Eurostat will describe the use of Codes, Categories and Classifications in the context of the GSIM Concepts Group, as well as practical implementation in the context of SKOS...
