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• U01 study section very valuable
• new techniques, new models
• MABS - not necessarily tools for others to use
• multiple funding mechanisms
• recurring mechanism for this type of work - generative, dynamical MSM
• reviewers who recognize these issues
• compuational tools - informatics
• causality - data science, sequential correlative analysis - strong viewpoints
• reproduce biological phenomenon - generate new simulated data with perturbation of a system
• cannot incorporate only data centric approaches
• emphasis on method development or novel applications of new methods
• expansion of methods for cross-platform validation
• not bioinformatics
• review panel focusing on modeling
• selling to agency priorities
• lines are blurring - distincting between modeling and informatics are not that clear
• need people who understand the limitations for causal inference methods
• domain area acceptance of modeling
• take long time:  1892 to 2018!
• dissemination and review --> similar issues
• "experimental data is the truth" --> only approximations of the truth, like models
• require "forced" collaboration between disparte modeling or other camps
• more education for domain areas without modeling
• dual disease-focused grants