TRACK: Information Technology and Computing TITLE: Computer Science Behind Your Science DATE: Friday, February 17, 2006 TIME: 1:45 PM - 4:45 PM ORGANIZERS: Andrew Bernat, Computing Research Association   PARTICIPANTS:   * = invited, not yet confirmed. Lydia E. Kavraki (Speaker), Rice University From Robots to Biomolecules: Computing Meets the Physical World Bernard Chazelle (Speaker), Princeton University Why Computer Science Theory Matters Dan Reed (Speaker), University of North Carolina, Chapel Hill Scientific Computing: An Intellectual Lever for Discovery Peter Norvig (Speaker), Google Extracting Semantics from the Web J Strother Moore (Speaker), University of Texas, Austin Mechanical Reasoning Tools and the Augmentation of Human Thought David Tennenhouse (Speaker), Intel Corp. Making Science Data-Driven AVAILABLE ABSTRACTS: No available abstracts. SYNOPSIS: With computing joining theory and experiment as a fundamental method of doing science, it is important for scientists to understand how fundamental computer science impacts progress in their disciplines. Advances in searching drive bio-informatics, advances in visualization enable large-scale data analysis, advances in sensor networks allow vital data collection, advances in automated theorem proving drive greatly increases the scope of mathematics; the list goes on and on. Without knowing where and how computer science has enabled their work, scientists are less able to understand where their greatest progress can be made. Additionally, because computing represents a new way of doing science, it is not always clear what science lies behind computer science. This session will present the computer science that enables the present and the computer science that needs creating to enable the future.