A collaborative effort to make the machine work for human rights information
Together with some of our partner organizations and Google.org Fellows, we’re exploring how machine learning can support access to human rights law.
Together with some of our partner organizations and Google.org Fellows, we’re exploring how machine learning can support access to human rights law.
An integration between Digital Evidence Vault and Uwazi allows users to capture, organize and analyze online content in a streamlined way.
Justice Project Pakistan and HURIDOCS partnered to create a database that shows who exactly is sitting on one of the world’s largest death rows—individuals with disabilities, juveniles and other vulnerable people.
This project aims to digitise court proceedings in Nigeria, thus improving access to key documents that can be used in the fight against corruption.
What’s included? Support for right-to-left languages, data synchronization between two or more Uwazi instances, and improved security.
We’ve added support for Matomo for web analytics, a way to manage languages from the user interface, and more.
Uwazi now supports document thumbnails, can run enhanced searches with query strings, and more.
Les invitamos a explorar la demo de Uwazi para revisar cómo funciona.
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.
You’re welcome to explore our Uwazi demo to see how Uwazi works, anytime!