Using Uwazi to build a database documenting institutional violence
Some of the lessons learned? Get to know your data, allow more time than you think is necessary, and engage the help of partners.
Some of the lessons learned? Get to know your data, allow more time than you think is necessary, and engage the help of partners.
¿Qué se aprendió de la experiencia? Es importante familiarizarse con los datos, ser prudente con el cronograma y conseguir el apoyo adecuado.
The organization’s Cartography of Attacks Against Women Journalists is powered by a HURIDOCS-developed solution: Uwazi.
La organización ha creado la ‘Cartografía de agresiones contra mujeres periodistas’, una base de datos construida con nuestra herramienta Uwazi.
We’re working to expand our Uwazi tool to support case management and documentation of human rights violations.
HURIDOCS collaborated with UPR Info to relaunch their Database of UPR Recommendations and Voluntary Pledges with improved features.
Three HURIDOCS team members reflect on their recent experience working with Google.org Fellows to leverage machine learning for human rights.
Three Google.org Fellows talk about their experience over the last several months helping HURIDOCS to leverage machine learning for human rights.
The Human Rights Database is powered in part by machine learning, the result of collaboration between Plan International, HURIDOCS and Google.org fellows.
CSV import, two-factor authentication and public submission forms are just some of what’s now available on our flagship platform for organising human rights information.