Note (June 17, 2003):  Registration to the Workshop is currently closed.  If you would like to be placed on a waiting list, please send mail to Deborah Swayne at dfs@research.att.com.

Mission:

Graphs (data represented as nodes and edges) pose challenges for data analysis that can only be addressed through interdisciplinary collaboration.  Graphs  have become an increasingly popular way of representing data in many different domains, including:

• telecommunications research
• genomics and bioinformatics
• epidemiology
• computer networks and web connectivity
• social networks
• marketing
• statistical graphical models

Analyzing these data effectively depends on contributions from the areas of data representation, algorithms, visualization (both static and interactive), statistical modeling (including graphical models) and inference.  Each of these areas has its own language for describing graphs, and its own favorite tools and methods.  Our goal for the workshop is to explore synergies that may exist between these different areas of research.

The data analysts will be hoping to exploit these synergies in the interest of more effective data analysis and inference.  Researchers in other areas may be inspired by the real world problems we discuss and by the opportunity for new collaborations.  The program is designed to allow a maximum amount of time for discussion, demonstrations, and collaboration.

Attendees may include statisticians, computer scientists, social scientists, computational biologists, and mathematicians.

Workshop Organizing Committee:

• Deepak Agarwal - dagarwal@research.att.com
• Robert Gentleman - rgentlem@jimmy.harvard.edu
• Susan Holmes - susan@stat.stanford.edu
• Deborah Swayne - dfs@research.att.com
• Duncan Temple Lang -duncan@research.bell-labs.com
• Chris Volinsky - volinsky@research.att.com