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Changing the World with Data - with Combatting Human Trafficking as an Example.

Eric Schles NYU

Audience level: Intermediate
Topic area: Modeling

Description

My talk is about how to set up national networks, support national networks and international networks that work on a specific issue. I'll pick specific examples from my work in the anti trafficking space and how I worked nationally and internationally. I'll choose specific tools I built and the problems they solved with in the anti trafficking space.

SLIDES: https://github.com/EricSchles/data_intelligence_conf

Abstract:

My talk is about how to set up national networks, support national networks and international networks that work on a specific issue. I'll pick specific examples from my work in the anti trafficking space and how I worked nationally and internationally. I'll choose specific tools I built and the problems they solved with in the anti trafficking space and talk about how these tools helped to further long term objectives within the space.

Here are the projects I would present during the talk:

  • Investigator - an automated investigation tool that scrapes the internet and then visualizes the results to users. This tool does a fair amount of GIS, timeseries analysis, prediction and data visualization.

  • Object Recognition - A tool to find specific objects in images. This tool makes use of neural networks, specifically CNNs to find objects. I also make use of OpenCV for facial recognition and some edge detection stuff.

  • Scraping PDFs - How to get information out of PDFs and what to do when dealing with picture PDFs. In the dealing with picture PDFs I make use of recurrent neural networks and the OCROPY pipeline.