An overview of this quantitative systems science method based on Kurt Kreuger's workshops for public health

Gavan Lintern's Decision Ladder of Cognitive states and processes associated with the Ladder of Inference IM-351 

Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version

WIP Based on Gene's Enabling a Better Tomorrow Map IM-2879 this is a Specific Health Care version based on the archived Systemswiki Health Care material. The focus is on Models and Simulation, with videos and discussion in the fullness of time. I am following Gene's  Adventures in Wonderland framework. Revised for More Complex AnyLogic transition at IM-57331

Overview of methods with a focus on qualitative or soft systems methods based on kurt kreuger's workshops

Visuals of computational methods for dynamic modelling  See Systems Science for Health insight launchpad including links to Nate Osgood and KurtK workshop material

Barry Richmond's 7 thinking skills in Systems Thinking.

From Hieronymi's 2013 Systems Research Paper Understanding Systems Science. Systems Science as one of the clusters of interacting methods for improving health services network design and delivery using complex decision technologies IM-17952

Circular equations WIP for Runy.

Clone of IM-30905 HSNI rearranged around the service lifecycle Intermediate form See IM-31560 for final form

Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in IM-62657 See medical decision making 2016 article abstract

From IM-3533 Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses based on Volker Grimm and Steven F. Railsback's 2012 paper and Muller et al 2013 paper Describing Human Decisions in Agent-based Models – ODD + D, An Extension of the ODD Protocol', Environmental Modelling and Software, 48: 37-48.

A variant of http://www.systemswiki.org/index.php?title=Model_Building

WIP based on Nate Osgood's Motivation for Dynamic Simulation Models in System Science Lecture see Youtube video at 20:34

An overview of hybrid computational simulation methods based on Kurt Kreuger's workshops

Extension of IM-1401 to clinical judgments of risk and decisions to act  See medical decision making 2016 article abstract

Modified from Sterman (2006) article and Gene Bellinger's Assumptions IM-351 by Dr Rosemarie Sadsad UNSW See also Complex Decision Technologies IM and IM-63975

From Hieronymi's 2013 Systems Research Paper Understanding Systems Science. Systems Science as one of the clusters of interacting methods for improving health services network design and delivery using complex decision technologies IM-17952

Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773

Inference Robustness Assessment entails demonstrating that the ways a model differs from the real world do not affect model based inferences. From Jim Koopman's work on Infection Transmission Science esp Biological Networks Book Ch 13 p 453-4 and this accessible paper pdf

Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses

Overview of choice modelling as part of value, effectiveness and motivation series of insights about wants, needs and demands related to health care (regional) model See also IM-4043

An overview of this quantitative systems science method based on Kurt Kreuger's workshops for public health

Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in IM-62657 See medical decision making 2016 article abstract