selected media
The Brazilian Senate held a hearing on AI and public policy and invited me to talk about it.
I chatted with the folks from the Let's Data podcast about my work and side projects, AI regulation, science fiction, doing research outside academia, angel investing, and financial machine learning. The episode is also available on Spotify .
Here I talked to IDP professor Leonardo Monasterio about AI regulation, science funding, and career choices in tech.
Here I talked about using Neo4j, Python, R, and other tools to detect corruption and other crimes.
other media
I chatted with students from the Summer Institutes in Computational Social Science about two machine-learning projects of mine: procurement classification and real-estate pricing.
I chatted with the folks from the Machine Learning Laboratory in Finance and Organizations about the nontechnical challenges of creating successful data projects with government data.
I talked to the students in ENAP's MBA in Data Science Applied to Public Policy about why we should have more of a venture-capital approach to public sector data projects.
I talked about using machine learning to estimate real-estate prices.
I discussed why network externalities and access to private data do not preclude competition in digital markets.
A talk I gave at Brazil's electoral court. Q&A session starts 1h04m in.
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.
I showed how to use machine learning to predict problems involving government suppliers.
An abridged, nontechnical presentation about using AI to fight corruption. Slides .
I talked about mining Brazilian government data, with a focus on graph data. Slides .
A four-talk panel that I moderated about risk and fraud detection. The Q&A starts 1 hour and 25 minutes into the video.
I talked about using natural-language processing to classify the goods purchased by the Brazilian government. Slides .