OCTOBER 5-6, 2011
2011 MSM/NHLBI Systems Biology Meeting Feedback
Registration:There is no registration fee. Email Stephanie Sabourin to reserve your spot for the meeting.
Location:
6001 Executive Boulevard (Neuroscience) Conference Facilities, Rockville, MD 20852
- The Conference Center is located a few miles north of the National Institutes of Health main campus. You will not need to go through NIH main campus security.
- Parking is available in an open lot right of the building as well as a parking garage behind the building. Please have your parking validated at check-in.
- Closest Metro Stop:
- White Flint Metro Station (Red line)
Hotel: Hyatt Regency Bethesda
1 Bethesda Metro Center,
Bethesda, MD 20814
Dinner: Shangri-La Indian Nepali Cuisine
October 5, 6:30pm Restaurant Website
Transportation:
- From Hotel to Meeting: Enter the Bethesda Metro Station and take the red line north towards Shady Grove. Go three stops to the White Flint Metro Station and exit. Cross under Rockville Pike and take Marinelli Rd. west to Executive blvd. Take Executive blvd. north past Old Georgetown Rd. to 6001 Executive blvd. on right. map
Security:
- All participants will be required to show a photo ID at the front desk of the Conference Facility to receive a Visitor's badge.
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2011 MSM Participant List
2011 MSM PARTICIPANT ABSTRACTS Check-in: Oct 5, 8:30am Meeting adjourns: Oct 6, 5pm
- Keynote speaker - Elhanan Borenstein, University of Washington
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- Title: Modeling the Human Microbiome: From Enzymes to Super-Organisms.
Meeting Themes:
- 1. Combining data-driven and mechanistic modeling techniques
- Which fields would best benefit and provide opportunities for translation?
- Touch upon issues of:
- Uncertainty quantification
- Bridging to higher scales
- Role of inverse methods
- 2. What can we learn from simple systems models to study complex systems (breadth vs. depth)
- How do we differentiate between complicated and complex systems?
- How do you choose and when do you know that it is right?
- When is it useful to develop a simple model from a complex system?
- When does a simple model fail?
- 3. Similarities/differences in MSM for various biological systems (nervous, cardiovascular, immunology etc.)
- Advances in different directions
- Field specific challenges and opportunities
- Technical abilities and resources available
- Historical precedence for certain approaches
- Unique biological conditions/limitations
- What are the drivers for each field?
- Ease/ability/coupling (constraints and opportunities) of the experimental system for validation
- WG discussions with the entire MSM Consortium
- MSM Consortium Meeting
- Special Discussions and Activities
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