SC4DEVO-1

Introduction

Original SC4DEVO-1 website

Agenda

• Monday, July 12
• Session 1: Introductions and Context
• 13.00-14.00: Lunch
• 14.00-14.05: Welcome to Caltech (Roy Williams, Caltech)
• 14.05-14.15: Self introductions by participants (All)
• 14.15-15.00: The Aims of SC4DEVO and SC4DEVO-1 (Bob Mann, Edinburgh)
• 15.00-15.45: Virtual Observatory Architecture (Roy Williams, Caltech)
• 15.45-16.15: Tea
• Session 2: Visualization
• 16.15-17.00: Interactive Exploration of Multivariate Data Sets (Matt Ward, WPI)
• 17.00-17.45: Visual Data Mining (Mihael Ankerst, Boeing Corp)
• 17.45: Close
• Tuesday, July 13
• Session 3: Web and Grid Services
• 08.30-09.00: Breakfast
• 09.00-09.45: Simplified Grid Application Development in Python (Dave Konerding, LBNL)
• 09.45-10.30: Building Applications from a Web Service Based Component Architecture (Dennis Gannon, Indiana)
• 10.30-11.00: Coffee
• 11.00-11.45: Where is the State in Web Services (Savas Parastatidis, Newcastle)
• 11.45-12.30: Building stateful web services (Matthew Graham, Caltech)
• 12.30-13.15: Lunch
• Session 4: Web Services in the Virtual Observatory
• 13.15-14.00: SDSS Web Services (Tamas Budavari, Johns Hopkins)
• 14.00-14.45: SExtractor as a Web Service (Craig Miller, JPL)
• 14.45-15.30: AstroGrid's Common Execution Architecture (Guy Rixon, Cambridge)
• 15.30-16.00: Tea
• 16.00-16.45: IVOA web services (Wil O'Mullane, Johns Hopkins)
• 16.45-17.30: Discussion
• 17.30: Close
• Wednesday, July 14
• Session 5: Scientific Workflow Systems
• 08.30-09.00: Breakfast
• 09.00-09.45: Pegasus: Mapping Complex Applications Onto The Grid (Ewa Deelman, USC)
• 09.45-10.30: Kepler Scientific Workflow System (Bertram Ludaescher, UCSD)
• 10.30-11.00: Coffee
• 11.00-11.45: Programming Workflow with Triana Services (Matthew Shields, Cardiff)
• 11.45-12.30: GRIST: Grid Data Mining for Astronomy (Joe Jacob, JPL)
• 12.30-13.15: Lunch
• Session 6: Data mining
• 13.15-14.00: Data mining and Science (Padhraic Smyth, UC Irvine)
• 14.00-14.45: Scientific applications of machine learning (Eric Mjolsness, UC Irvine)
• 14.45-15.30: Scalable Data Mining (Brigham Anderson, Carnegie Mellon)
• 15.30-16.00: Tea
• 16.00-16.45: Mining quasars from the Palomar-QUEST survey (Ashish Mahabal, Caltech)
• 16.45-17.30: Algorithms for Large Point Sets (Dave Abel, CSIRO)
• 17.30: Close
• Thursday, July 15
• Session 7: Putting it all together - and what's been left out
• 08.30-09.00: Breakfast
• 09.00-12.30: Discussion
• 12.30-13.15: Lunch
• 13.15: Close