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Dynamic Data-Driven Application Systems

 

Workshop on Dynamic Data-Driven Application Systems
National Science Foundation, Arlington, VA

March 8-10, 2000

"Creating a dynamic and symbiotic coupling of simulations with measurements/experiments"

Workshop Report

PDF and Word versions.

Objectives

The primary objective of this workshop is to explore research opportunities leading to the creation and enablement of a new generation of dynamic/adaptive applications. The novel capabilities to be created here are application simulations that can dynamically accept and respond to "on-line" field-data and measurements, and/or can control such measurements. This synergistic and symbiotic feedback control-loop between simulations and measurements is a novel technical direction that can open new domains in the capabilities of simulations with high potential pay-off, and creating applications with new and enhanced capabilities. It has the potential to transform the way science and engineering are done, and induce a major beneficial impact in the way many functions in our society are conducted, such as manufacturing, commerce, transportation, hazard prediction/management, and medicine, to name a few.

Traditionally applications' simulations are conducted with static data inputs. In the new dynamic, data-driven application systems envisioned here, field-collected data will be used in an "on-line" fashion to steer the simulations and vice-versa the simulations will be used to control experiments or other field-measurements. Thus the simulations and the experiments (or field-data) become a symbiotic feedback system rather than the usual static, disjoint and serialized approaches. The workshop will examine the technical challenges and research areas that need to be fostered to enable such capabilities. What are the requirements in the applications' level for enabling this kind of dynamic feedback and control loop? What are the requirements in the applications' algorithms for the algorithms to be amenable to perturbations by the dynamic data inputs? What are the challenges and technology needed at the computer systems areas to support such environments? The new set of applications will create a rich set of new challenges and new class of problems for the applications and systems' researchers to address. Such challenges clearly present the need for a synergistic multidisciplinary research between applications and systems' and algorithms' areas. This research scope has the potential to help establish stronger and more systematic collaborations between the applications' researchers and the engineering, math and computer sciences researchers. How such multidisciplinary research can be programmatically fostered and supported in an effective way? How can this multidisciplinary research scope form a clear focus for many of the activities developed in existing individual programs supported in NSF? Past investments provide a basis to address the more challenging research required to enable the new paradigm fostered here. How for example research performed and technologies developed under existing NSF efforts such as the NGS, SES, Grand Challenges, ITR programs, are poised to comprise a relevant basis upon which the research for symbiotic measurement and simulation systems can springboard? How can the research focus for this new paradigm serve as a necessary adjunct of existing programs?

Many application areas can be envisioned benefiting or enabled from this new paradigm. Many are of interest to the research community supported by NSF (ENG, MPS, BIO and GEO) and representative examples will be addressed in the workshop to illustrate the potential impact that this kind of research can have. In addition we believe that the capabilities discussed here, are relevant not only to applications of interest to the NSF funded research community, but also applications of interest to other agencies can benefit from this new paradigm. Furthermore such new directions can have a very positive impact with respect to the educational component, by providing the opportunities for students to work in some novel, exciting and multidisciplinary projects.

The workshop is intended to address the problems, needs, possibilities and opportunities for such multidisciplinary research and education. We envision the workshop to address such issues in the format of plenary sessions and breakout groups, most likely along the areas of applications, algorithms, and systems' software technologies. The workshop is also expected to produce a report to be made available to the wider community and also serve as guidance for NSF's programmatic considerations.

Workshop Co-Chairs

NSF Coordinating Committee

Presentation Slides

Detailed Agenda

The workshop will take place at the National Science Foundation. All plenary presentations will be in Room 110. Specific room assignments for Working Group meetings will be provided at the meeting.

Wednesday, March 8, 2000

8:00 AM - 8:30 AM Registration and Coffee/Donuts
8:15 AM - 8:45 AM Welcoming Remarks by the Organizers: Frederica Darema, John Cherniavsky, Clifford Jacobs, Richard Isaacson, William Michener, Christopher Platt, Lawrence Seiford, Kamal Shukla, and Roy White.
Co-Chairs: Craig C. Douglas and Abhi Deshmukh.
NSF Officials: Dr. Bordogna (NSF Deputy Director), Dr. Bajcsy (CISE AD), Dr. Eisenstein (MPS AD), Dr. Leinen (GEO AD), and Dr. Wong (ENG AD).
8:45 AM - 12:15 PM Plenary Presentations
8:45 AM - 9:15 AM Greg McRae, Professor, Massachusetts Institute of Technology
New Directions on Model-Based Data Assimilation
9:15 AM - 9:45 AM Janice L. Coen, Scientist, National Center for Atmospheric Research
Coupled atmosphere-wildfire modeling
9:45 AM - 10:00 AM Break
10:00 AM - 10:30 AM Howard Frank, Professor and Dean of the Business School, University of Maryland at College Park
Data/Analysis Challenges in the Electronic Commerce Environment
10:30 AM - 11:00 AM Klaus Schulten, Professor, University of Illinois at Urbana-Champaign
Steered computing - A powerful new tool for molecular biology
11:00 AM - 11:30 AM Richard Ewing, Professor and Dean of Science, Texas A&M University
Interactive Control of Large-Scale Simulations
11:30 AM - 12:00 PM Chris R. Johnson, Professor, Univesity of Utah
Interactive Simulation and Visualization in Medicine: Applications to Cardiology, Neuroscience, and Medical Imaging
12:00 PM - 12:15 PM Charges to the Working Groups
12:00 PM - 1:15 PM Lunch
1:15 PM - 5:30 PM Break-out Groups (G1: Applications; G2: Algorithms; G3: Computing Systems)

Thursday, March 9, 2000

7:45 AM - 8:30 AM Coffee/Donuts
8:30 AM - 10:00 AM Break-out Groups (G1: Applications, G2: Algorithms, G3: Computing Systems)
10:00 AM - 10:30 AM Break
10:30 AM - 12:00 PM Break-out Groups (G1: Applications, G2: Algorithms, G3: Computing Systems)
12:00 PM - 1:15 PM Lunch
1:15 PM - 3:00 PM Plenary / Interim Presentations of Break-out Groups' discussions
3:15 PM - 3:30 PM Break
3:30 PM - 5:30 PM Break-out Groups (G1: Applications, G2: Algorithms, G3: Computing Systems)

Friday, March 10, 2000

7:45 AM - 8:30 AM Coffee/Donuts
8:30 AM - 9:00 AM Anita Jones, Professor, UVA: Injecting Simulation into Real Life Processes (Plenary Presentation)
9:00 AM - 10:00 AM Break-out Groups (G1: Applications; G2: Algorithms; G3: Computing Systems)
10:00 AM - 10:30 AM Break
10:30 AM - 12:00 PM Break-out Groups (G1: Applications; G2: Algorithms; G3: Computing Systems)
12:00 PM - 1:15 PM Lunch
1:15 PM - 2:15 PM Plenary / Final Presentations of Break-out Groups' discussions
2:15 PM - 3:30 PM Discussions on Presentations and process for completing the report
3:30 PM Meeting Adjourns

Participants

Participant list.

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