Metadata is a crucial when working with documents, but small non-profits often struggle with organising and analysing data due to time constraints and lack of resources.
In this discussion, we hope to bring together human rights defenders, tool developers and machine learning practitioners to share knowledge and experience.
Human rights organisations are using Uwazi to add layers of context to raw documents in order to make their collections more understandable. With machine learning, we want to further exploit Uwazi’s potential.
ICAAD is analysing sexual and gender-based violence, and Uwazi is supporting their work.
We’ll be sharing our work using machine learning to help human rights advocates sift through large document collections.
We’ll be hosting a discussion about open source governance models and building successful open source communities.
“It was very exciting to use machine learning when people can directly make use of the results.”
At the Human Rights DiploHack, we developed a ‘Self-learning Assessment Framework for Rights’.