|
|||
|
Progress in ecological and environmental sciences depends on the quantitative and repeatable analysis of data from a variety of sources. Most scientists conduct analyses and run models in several different software and hardware environments, mentally coordinating the export and import of data from one environment to another. Scientific Workflows attempt to formalize this ad-hoc process so that scientists can design, execute, and communicate analytical procedures repeatedly and with minimal effort. Scientific workflows are superficially similar to business process workflows but have several demanding challenges not present in the scenario for business workflows. In this workshop, we will explore several fundamental aspects of scientific workflows (particularly those with relevance to environmental data) in an attempt to create opportunities for collaboration among US and UK researchers. We will examine several topics, including:
The agenda will be arranged with some initial presentations to set the stage for the later discussions. By the end of the workshop, we will produce a high-level outline of our discussion findings, and a list of action items to stimulate international collaboration on scientific workflow systems. 09:30-10:30 Presentations # 1: Models of computation in scientific workflows (TBD) # 2: Distributed computation, scientific codes, and the Grid (TBD) # 3: Interoperability: workflow languages and environments (TBD) 10:30-11:00 Tea and Coffee 11:00-12:30 Discussion: Models of computation: space, time, and context 12:30-14:00 Lunch 14:00-15:00 Discussion: Distributed workflows and the Grid 15:00-16:30 Workflow interoperability: workflow languages 15:30-16:00 Tea and Coffee 16:00-17:00 Workflow interoperability: workflow environments 17:00-18:00 Outline workshop findings and action items for report 18:00 Close Back to the meeting agenda
|
This material is based upon work supported by the National Science Foundation under award 0225676. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF). Copyright 2004 Partnership for Biodiversity Informatics, University of New Mexico, The Regents of the University of California, and University of Kansas |