Data Fixers is an award-winning consulting project specialized in gathering data and public records to foster environmental investigations
Your intelligent assistant for accessing public information through Brazil's Access to Information Law (LAI). Discover how our AI-powered tool can help you navigate government transparency and find the data you need.
Try L-AI bot nowOur commitment to transparency goes beyond data analysis. We actively promote public accountability through educational content and advocacy for open government initiatives.
We found out that almost half environmental embargoes in Brazil have no name on it, meaning that the government didn't know who was responsible for deforestation in that area. By cross-referencing public datasets, we were able to identify some of these agents.
A dashboard to explore how brazilian congressmen spend their legislative amendments in their electoral bases.
VIEW DASHBOARDInteractive dashboard showing visitors to the Presidential building and their meeting patterns.
VIEW DASHBOARDAnalysis of presidential speeches and public statements with data visualization.
VIEW DASHBOARDData Fixers is a data-driven journalism and consulting project created at the The Brown Institute for Media Innovation — a joint initiative between Columbia University and Stanford University. This project received a Magic Grant to find data and public records to support investigative journalism in Brazil and is coordinated by journalist Luiz Fernando Toledo (Master of Science in Data Journalism 2022). Data Fixers was awarded twice in 2023 by the Open Knowledge Foundation (Brazil) as the best Brazilian open data project and also for the best investigative project of the year (Amazon Underworld). Read more about the project in this article by Muckrock and here at the Brown Institute's website. Contact: lta2119@columbia.edu
Disclaimer: We received external funding only until the first half of 2024. The only active partnership at the moment is with Abraji, through the curation of the Cruzagrafos project.
Major investigations published through Data Fixers project
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