Overview
Many crimes are difficult to track down: human trafficking, fake parts, counterfeit medication. But traces exist: in ads, in posts, in shopping sites and on and on. Richard approached the problem as one related to advertising: in order to sell, someone has to be visible somewhere. He uses search indexes, big data, machine learning, language processing, and graph theory to facilitate search through this data and finally add an easy visualization-based interface to allow experts to connect the dots. Investigators have been able to use the approach to achieve successes in combating human trafficking. Richard will discuss high-level considerations of the end-to-end approach of such a system and the needs for a simple interface for non-computer experts to be able to navigate through complexity.
Objective
An iterative approach to stitching together many emerging technologies to solve tough problems.
Target Audience
Anyone working on tough problems: end users, application architects, senior developers.
Assumed Audience Knowledge
Specific technologies will be avoided, although some advanced computational concepts will be discussed.
Four Things Audience Members Will Learn
- Iterative design and technology approach to solving tough problems
- Why standard approaches don’t work for some types of problems
- Search, facets and graph analysis
- Evolving a user interface and visualization for analysis
