Mini Symposia for 2008 MSM Consortium meeting at the SIAM Conference on the Life Sciences, August 4-7, 2008, Montreal, Quebec, Canada: http://www.siam.org/meetings/ls08/index.php
Instructions
- SIAM organizers will be referring to this wiki page for the most accurate details of the 8 IMAG/MSM minisymposia, posters, and additional IMAG organized sessions. Please update this page regularly as you finalize your sessions
- Please edit online minisymposium titles and poster abstracts to include IMAG as the first word, so SIAM can easily find them to make then 8 non-overlapping sessions
- July 7, 2008 is the Registration and Hotel Reservation Deadline. Online registration will be available in May 2008: http://www.siam.org/meetings/ls08/reginfo.php
>>>>>>>> CLICK HERE FOR Overall SIAM Schedule of all IMAG Minisymposia and Sessions (draft)
Abstracts for original 24 MSM Project Posters - A CULMINATION OF 3 YEARS OF WORK
1. IMAG Integrative Modeling: Challenges in Modularity.
- Point of Contact: Jim Bassingthwaighte, jbb2@washington.edu
Biological systems are inherently modular but the modules are highly connected, with multiple feedbacks. Automated reconstruction from archived modules requires adherence to standards, the use of ontologies, and computer-recognition of relationships between processes. Even more challenging is the automation of the processes of reducing model complexity for using modules in higher level, more speedily computable versions. Success in simplification means a reduction in robustness, defining robustness as the generic ability to respond appropriately to changes, thus recognizing that only certain types of responses can be preserved while reducing model complexity. The residual fundamental problem then is, when inadequacy is identified, how to unreduce the model efficiently to reincorporate only the critical missing characteristics.
2. IMAG Mathematical Challenges in Multiscale Biosystems Modeling (1)
3. IMAG Mathematical Challenges in Multiscale Biosystems Modeling (2)
- Point of Contact: Peter Ortoleva, ortoleva@indiana.edu
While biosystems have been analyzed using models appropriate for phenomena on given spatio-temperal scales, efforts to combine them into a unified, multiscale model have been hampered due to ambiguities arising from the need to interface the models. The theme of this minisymposium is that a rational development of the muliscale model should start with the finest scale model and then through various mathematical techniques the coarse-grained models should follow. Techniques of interest include homogenization and renormalization group analysis, information theory and statistical ensembles, asymptotic expansions, and multiscale computational approaches. The finest scale equations providing the starting points for the analysis include molecular physics (classical and quantum mechanical) and hydrodynamics. The benefits to the pure and applied life sciences that will follow this deductive approach will be models that require a minimum of calibration (e.g., the interatomic force field). Systems of interest will range from the nanoscale (e.g., viruses, nanocapsules for drug dilivery, and intracellular structures) to whole complex organisms.
Selection of challenges, presentations from MSM folks that would highlight science and key areas where novel mathematical models might help, international supercomputing projects and computing
4. IMAG Macro-to-Micro Modeling of Biological Systems, Part I.
5. IMAG Macro-to-Micro Modeling of Biological Systems, Part II.
Point of Contact: Jim Brasseur, brasseur@psu.edu
These symposia explore the interface between macroscale function and microscale physiology with the perspective from the macroscale to the microscale. This theme includes the modulation and control of macroscale whole-organ-level function from its interactions with microscale muscle and neurophysiological processes, and the corresponding diseases associated with disruption between the micro and micro scale dynamics. It also includes systems level function from the integration of multiple microscale components. Modeling is from the macroscale to the microscale: macroscale function from microscale physiology. Modeling complexity involves both numerical and mathematical issues, and often the modeling integrates with data from imaging modalities.
6. IMAG Multiscale Imaging and Image analysis
- Point of Contact: Yoonsuck Choe, choe@tamu.edu
Recent advances in imaging and microscopy techniques have led to a surge in biological data. Different imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), confocal microscopy, and serial sectioning microscopy (both optical and electron microscopy) have enabled the observation of morphological characteristics of biological systems and organs at multiple spatial and temporal scales (e.g., neuronal networks, vascular networks, airways, and villi). The different imaging modalities and scales, and the amount of data (easily reaching several terabytes) pose serious computational and mathematical challenges in image analysis and modeling. For example, segmentation, tracing, and reconstruction of densely packed objects in 3D is computationally intensive and error-prone, and inference of nano-scale morphological properties from micro- or macro-scale imaging data require the discovery of invariant statistical properties across scales. This minisymposium will focus on latest advances in multiscale and space-time imaging methods, image processing/analysis algorithms, and modeling frameworks that will enable the interpretation and integration of data from multiple scales and spatial-temporal correlations in biological systems. Also relevant to this symposium are strategies for data and model sharing that will require further abstractions for general multiscale and space-time frameworks for imaging and image analysis. Notes: (1) "*" marks confirmed speakers. (2) See Session_6_Speakers for the abstracts.
7. IMAG Cell and Multi-cellular modeling (1)
8. IMAG Cell and Multi-cellular modeling (2)
- Points of Contact: James Glazier (glazier@indiana.edu) and Maciej Swat (mswat@indiana.edu)
This symposium will focus on modeling of biological systems using single-cells as a natural level of abstraction. Unlike continuum models where cells are represented in the form of density, cell-level modeling provides modelers with deeper insights into biological phenomena and ultimately allows for easy integration with subcellular models. This method is capable of determining single cell phenomena based on more detailed subcellular models than those employed by continuum methods. Currently, various cell-level models are being explored (lattice-based, off-lattice, cellular automata, etc.). As of now, there is little to no consensus amongst scientists and developers to easily and correctly model multicellular systems with single cell resolution. During this symposium, we will explore how different single cell-level models are capable of describing and reproducing biological phenomena at the single-cell and tissue levels. Following scheduled talks, we will have a roundtable discussion covering the gambit of current models and noting similarities and differences in techinques and scientific contents. We hope this discussion will lead to consensus or possible motivation for unification/integration of presented models and modeling methods.
Other Sessions:
a)Government Funding Agency Panel - New Initiatives and Grantsmanship
- Point of Contact: Grace Peng, penggr@mail.nih.gov
The Interagency Modeling and Analysis Group (IMAG) currently has participants from seven federal agencies of the U.S. government. This group was formed in 2003 and meets monthly solely from the interest of the program officers involved, who have a shared interest in applying modeling and analysis methods to biomedical systems. This panel will discuss various funding initiatives and opportunities supported by the IMAG agencies, in addition to the Multiscale Modeling Initiative that created the Consortium that is presenting at this meeting. This panel will also bring together agency representatives from various foreign countries to discuss the worldwide efforts that are currently being promoted to model the physiome.
b) Forward Looking Session - The Future of Model Sharing
- Point of Contact: Grace Peng, penggr@mail.nih.gov
This panel will discuss the complex technical, sociological and societal challenges to realistic sharing of mathematical and computational models. The discussion will include the review of model sharing efforts of the IMAG Multiscale Modeling (MSM) Consortium over the last three years, a summary of outcomes from the MSM 2007 Model Sharing workshop, and highlight efforts that are developing and efforts that have achieved successful outcomes. This panel will also discuss the future of journal requirements for publications to facilitate model reproducibility.
This page contains updates after these calls:
121407 Call IMAG/MSM planning committee
121807 Call with Steven Cox of SIAM Life Sciences
010908 Call IMAG/MSM planning committee
011008 Call with Steven Cox of SIAM Life Sciences
022908 Call with Steven Cox of SIAM Life Sciences
031208 Call with Steven Cox of SIAM Life Sciences
061008 Call with Steven Cox of SIAM Life Sciences