I coordinate since 2012 the Lab Analytics, a Civic Data Science group I co-founded at UFCG. The lab usually has 20-30 researchers and software engineers and developed projects funded by Hewlett Packard, government agencies, startups, and NGOs. Some recent projects:
Platform to detect and predict activity patterns in law bills and congressmen work. It’s in use since 2019 by 80+ NGOs that monitor the Brazilian Congress.
Parlametria uses statistical modeling, NLP (word embeddings, lexicons), and deep learning to help. Developed with Dado Capital, Kunumi and UFMG.
Platform for citizens to analyze governmental purchases of meals for public schools and goods to fight the pandemic in Brazil. Developed with Transparência Brasil.
Opens spending data from the Brazilian judiciary system. This data is published in pdf, xls and other formats, and we are creating an open normalized and easy to use platform to expose the current situation and motivate change. Developed with MPPB and Transparência Brasil.
Developed with Campinatec, a local startup, and uses predictive analytics to guide citizen attention to specific projects in a different state (PB).
Helps citizen follow the state of water reservoirs in the Brazilian semiarid countryside. Developed with INSA.
[site]
Explores electoral results from the last 20 years in Brazil. Developed with Datapedia.
We designed and implemented a lottery protocol and software that was used for the distribution of 4,000 houses by the Brazilian Government.
[site]
A crowdsourcing/citizen-science platform based on PyBossa.