Population Level Models for Behavioral and Social Sciences

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Challenge #11-17 PI Leads: David Basanta (david@cancerevo.org), Bruce Lee (brucelee@jhu.edu), Ching-Long Lin (ching-long-lin@uiowa.edu)

IMAG POCs:  Liz Ginexi (lginexi@mail.nih.gov), Greg Bloss (gbloss@willco.niaaa.nih.gov), Regina Bures (regina.bures@nih.gov)

11:00-11:10am: Update on the Accomplishments for Challenges #11-17 thusfar, 

11:10-11:30am: Discussion of the gaps to be addressed in the future.

Discussion for the MSM Consortium: How best to accomplish these?

  1. Create a generation of multi-scale modelers and recognize it as a new discipilne
  2. Encourage collaboration between data-generating projects at different scales and multi-scale modelers.
  3. Helping more decision makers understand how such MSMs can assist with their work.
  4. More communication and dissemination to the public.
  5. More calls to link the population level with other scales.
  6. Funding and resources.
  7. Comment from Gary An: Seem to be some similarities between these models and the creation of virtual populations to examine clinical trials. Seems like population characteristics/distributions fall into the category of non-parametric/semi-qualitative metrics to evaluate MSMs.
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