2013: Knowledge Extraction via Comparison of Complex Computational Models to Massive Data Sets: July 29-31, 2013
Workshop Information
Description:
Advances in computation have significantly improved our abilities to model complex processes in science, engineering and the social sciences. In parallel, experimental observations have grown in size and complexity as well. Gaining knowledge and insight from these efforts requires rigorous comparison of models and data. The ever increasing sophistication of the models along with the size and detail of the heterogeneous data sets demands commensurate advances in the processes and practices of data analysis.
This workshop, co-sponsored by SAMSI and the NSF funded MADAI collaboration (Models and Data Analysis Initiative, http://madai.us) was devoted to applying and developing new techniques for the statistical analysis of massively complex models and the application of cutting edge visualization tools to drive data exploration. Currently, MADAI's analysis infrastructure and work- flows are being designed to address scientific challenges in Heavy-Ion Physics, Cosmology and Climate Sciences. Once fully developed these should be broadly extensible to other domains.
The purpose of the workshop was to introduce a broader base of domain scientists in the aforementioned communities to statistical and visualization tools that facilitate knowledge extraction via complex model to data comparisons. The workshop also provided opportunities for the Statistical Science community to learn about recent developments in complex modeling and computer experiments as well as engage in new collaborative ventures. Two half-day hands-on tutorials showcased a modular visualization platform (based on Paraview) that allows for advanced visualization of complex model dynamics as well as statistical analysis tools. The statistical tools are based on Gaussian process surrogate models for rapid exploration of a model's parameter space.
Snehalata Huzurbazar is the Directorate Liaison.
Schedule
Monday, July 29, 2013
at SAMSI, Room 150
| 12:30-1:10 | Registration |
| 1:10-1:20 | Welcome Scott Pratt, MADAI, MSU Snehalata Huzurbazar, SAMSI and University of Wyoming |
| 1:20-2:00 | Hannah Petersen, Frankfurt Institute for Advanced Studies Dynamical modeling of heavy ion collisions - Applying visualization tools and statistical analysis |
| 2:0-2:40 | Katrin Heitmann, ANL Exploring the Dark Universe |
| 2:40-3:20 | Yu Lu, Stanford Bayesian Constraints on the Physics of Galaxy Formation |
| 3:20-3:50 | Break |
| 3:50-4:30 | Sven Kreiss, NYU Modeling and Statistical Analysis for Higgs Physics at the Large Hadron Collider |
| 4:30-5:10 | Charles Jackson, University of Texas The Problem of Bias in Projections of Future Climate |
| 5:10-6:15 | Gabriel Huerta, University of New Mexico Statistical Aspects of the Study of 'Bias' in Climate Models |
| 6:15 | Shuttle Departs for Radisson Hotel |
Tuesday, July 30, 2013
at SAMSI, Room 150
| 8:30-9:00 | Registration and Continental Breakfast |
| 9:00-9:40 | Dorin Drignei, Oakland University Matching Heterogeneous Observations and Computational Models |
| 9:40-10:20 | Mark Berliner, Ohio State University Bayesian Approaches to the Analysis of Computer Model Output |
| 10:20-10:50 | Break |
| 10:50-11:30 | Chris Coleman-Smith, Duke University Some Aspects of Calibration and Exploration of Complex Computer Models |
| 11:30-12:10 | Timo Bremer, Lawrence Livermore National Laboratory Topological Analysis and Visualization in High-Dimensions |
| 12:10-2:00 | Lunch and Poster Session SAMSI will provide poster presentation boards and tape. The board dimensions are 4 ft. wide by 3 ft. high. They are tri-fold with each side being 1 ft. wide and the center 2 ft. wide. Please make sure your poster fits the board. The boards can accommodate up to 16 pages of paper measuring 8.5 inches by 11 inches. |
| 2:00-2:40 | Christopher Healey, North Carolina State University The Role of Perception in Visualization and Visual Analytics |
| 2:40-3:20 | Russ Taylor, University of North Carolina Visualization Designed to Optimize Comprehension: Taking the Viewer into Account |
| 3:20-3:50 | Break |
| 3:50-5:00 | Discussion of Contributed Stats Questions |
| 5:00 | Shuttle Leaves for Radisson Hotel |
| 7:00 | Dinner -- Location TBD |
Wednesday, July 31, 2013
at SAMSI, Room 150
| 8:30-9:00 | Registration and Continental Breakfast |
| 9:00-12:10 | Cory Quammen and Hal Canary, University of North Carolina MADAI Visualization Tutorial |
| 12:10-1:30 | Working Lunch |
| 1:30-5:15 | Hal Canary, UNC, and Scott Pratt, MSU MADAI Stats Tutorial |
| 5:15 | Shuttle Leaves for Radisson Hotel |
Thursday, August 1 and Friday, August 2, 2013
Location TBD
| MADAI Members Available at Duke for Collaboration |