Crash! Bang! Lightning Data-Raves

Hello Ravers!

Come hear lightning talks on data!

A lightning talk is a brief but substantial presentation. It lasts just five minutes, with another five minutes for audience questions.

Above all, we're interested in seeing diverse and substantially data-oriented problems solved or addressed by diverse methods, and presented in a terse, clear format so as to encourage audience questions.

Edit: The speaker list is now complete:

• Paul-Jean Letourneau, analyzing quantified self data at Wolfram;

• Damian Kao, overview of genomics;

• Christopher Ryan, Python implementation of eye pupil localization with an ensemble of randomized trees;

• Ruby Childs, Neo4J and Dijkstra's algorithm to study the career paths of job-seekers;

• Nick Collins, overview of Woosh and Seaborn Python libraries;

• Richard Herron, downloading data from Google Trends;

• Andreas Dewes, interactive data acquisition and analysis system for controlling a quantum processor.

Registration is now open.

Some additional seats will be released closer to the event.