| 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.
 | 2011 MSM Participant List  2011 MSM PARTICIPANT ABSTRACTSCheck-in: Oct 5, 8:30am
 Meeting adjourns: Oct 6, 5pm
   Keynote speaker - Elhanan Borenstein, University of Washington
 
				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 quantificationBridging to higher scalesRole 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 directionsField specific challenges and opportunities
					Technical abilities and resources availableHistorical precedence for certain approachesUnique 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 ConsortiumMSM Consortium MeetingSpecial Discussions and Activities 
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