A three-talk panel that I moderated. We discussed different ways to use data mining to improve policy (and shorten queuing time in banks!). Q&A session starts 52 minutes in.
Here I talked about what it takes to do (good) data science in the government and how to get started.
Here I showed how we’ve been using neural networks to predict problems with government suppliers.
Here I gave an abdriged, non-technical, English version of the talk below. Slides
Here I talked about how the Comptroller General of Brazil (where I work) uses machine learning to identify corrupt government employees and other problems.
Here I talked about data mining in the Brazilian government, with a focus on Neo4j. Slides.
A four-talk panel that I moderated. It was about risk and fraud detection in the Brazilian government. Q&A session starts at 1h25m.
Here I talked about how the Brazilian government uses Neo4j, Python, R, and other tools to detect corruption and other crimes.
Here I talked about using NLP to classify the goods the Brazilian government buys. Slides.
This is just the Q&A session that followed the panel where I gave the talk above.