2013: Knowledge Extraction via Comparison of Complex Computational Models to Massive Data Sets: July 29-31, 2013


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) 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.

Schedule and Supporting Media

Monday, July 29, 2013
at SAMSI, Room 150

Time Description Speaker Slides Videos
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 Dynamical modeling of heavy ion collisions – Applying visualization tools and statistical analysis Hannah Petersen, Frankfurt Institute for Advanced Studies  
2:0-2:40 Exploring the Dark Universe Katrin Heitmann, ANL  
2:40-3:20 Bayesian Constraints on the Physics of Galaxy Formation Yu Lu, Stanford  
3:20-3:50 Break
3:50-4:30 Modeling and Statistical Analysis for Higgs Physics at the Large Hadron Collider Sven Kreiss, NYU  
4:30-5:10 The Problem of Bias in Projections of Future Climate Charles Jackson, University of Texas  
5:10-6:15 Statistical Aspects of the Study of ‘Bias’ in Climate Models Gabriel Huerta, University of New Mexico  
6:15 Shuttle Departs for Radisson Hotel

Tuesday, July 30, 2013
at SAMSI, Room 150

Time Description Speaker Slides Videos
8:30-9:00 Registration and Continental Breakfast
9:00-9:40 Matching Heterogeneous Observations and Computational Models Dorin Drignei, Oakland University  
9:40-10:20 Bayesian Approaches to the Analysis of Computer Model Output Mark Berliner, Ohio State University  
10:20-10:50 Break
10:50-11:30 Some Aspects of Calibration and Exploration of Complex Computer Models Chris Coleman-Smith, Duke University  
11:30-12:10 Topological Analysis and Visualization in High-Dimensions Timo Bremer, Lawrence Livermore National Laboratory  
12:10-2:00 Lunch and Poster Session
2:00-2:40 The Role of Perception in Visualization and Visual Analytics Christopher Healey, North Carolina State University  
2:40-3:20 Visualization Designed to Optimize Comprehension: Taking the Viewer into Account Russ Taylor, University of North Carolina  
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

Time Description Speaker Slides Videos
8:30-9:00 Registration and Continental Breakfast
9:00-12:10 MADAI Visualization Tutorial Cory Quammen and Hal Canary, University of North Carolina
12:10-1:30 Working Lunch
1:30-5:15 MADAI Stats Tutorial Hal Canary, UNC, and Scott Pratt, MSU
5:15 Shuttle Leaves for Radisson Hotel

Thursday, August 1 and Friday, August 2, 2013
Location TBD

Time Description Speaker Slides Videos
MADAI Members Available at Duke for Collaboration