Resources

Crisis Tracker

This recently initiated project aims to make distributed knowledge (shared primarily through the Twitter microblogging service) more accessible to both emergency response professionals, victims and others, as well as simplify direct communication between members of all groups.

Our system will adopt a design whereby machine learning and automated tools work hand in hand with a crowdsourcing community to quickly and efficiently organize and analyze information on microblogging websites during crisis and emergency situations.

The system is currently under development, but you are welcome to try the interactive prototype.

You can also read a summary of the results of a full-scale evaluation we ran in September 2012.

Visualization of the Syrian Twitter-sphere

Out of curiosity, I used story-clusterered Twitter data to make a visualization of the information flows and people involved in the Syrian Twitter-sphere. Check it out.

Information Visualization

These chapters together provide introductory material to the scientific domain of Information Visualization. The content is in no way exhaustive, but is rather intended as a guide for self-studies. Extensive use of a search engine is recommended for looking up terms and definitions and for finding example images of graphs and visualization techniques mentioned in the text.

  1. An introduction to information visualization theory
  2. Common visualization techniques, by type of dataset
  3. Development aspects
  4. External resources, for learning and inspiration