
Iām pleased to share a new paper and accompanying course modules on Social System Diagnostics ā a practical framework for identifying problems in complex social systems and determining where further investigation should be focused.
Complex systems rarely fail for a single reason. Before we can explain why a problem exists, we must first recognise it and identify the areas requiring closer attention.
The paper introduces Systemic Diagnostics as a complement to Constraint Analysis.
It argues that diagnosis and explanation are distinct but complementary processes:
š¶ Diagnostics identifies symptoms and areas of concern.
š¶ Constraint Analysis investigates the underlying causes responsible for those conditions.
To support this process, the paper introduces a diagnostic hierarchy based upon system viability.
Because viability cannot be observed directly, it is disaggregated into four diagnostic dimensions:
š· Potential ā Are future opportunities and capabilities being created?
š· Flow ā Are information, resources, authority, and decisions moving effectively?
š· Capability ā Can intended outcomes be achieved?
š· Flexibility ā Can the system adapt to changing circumstances?
Together, these dimensions provide a structured framework for assessing system condition and identifying areas requiring further investigation.
The paper explores:
š¶ diagnosis as progressive expansion
š¶ viability and viability dimensions
š¶ diagnostic indicators
š¶ the relationship between symptoms and causes
š¶ the transition from diagnosis to Constraint Analysis
š¶ governance, learning, and adaptive decision-making
This work forms part of a broader programme developing a social systems framework grounded in causality, constraints, and adaptive governance.
The paper is available via the following links:
š Academia: https://www.academia.edu/168478652/Social_System_Diagnostics
š Website: https://rational-understanding.com/sst/
Alongside the paper, I have also added a new set of course modules to the Social Systems Theory (SST) course. These modules correspond to the concepts developed in the paper and are designed to make them accessible through:
š· plain-English explanations
š· diagrams and illustrations
š· worked examples
š· practical exercises
The course materials are available in two ways:
š Open access (self-paced): https://rational-understanding.com/sst-course/
š Supported learning: via Google Classroom through the ISSS Student SIG
Those in full-time or part-time education are especially encouraged to join the Student SIG, where they can benefit from guidance by experienced systems scientists, discussion with fellow learners, and access to a wider international community.