Wojciech Z. Kaleta, PhD
Independent researcher working across Decision Engineering, Situational Awareness, Human Factors and high-stakes decision systems.
His current research programme, Decision Epistemology, examines the epistemic integrity of decision systems over time.
The research began with a practical difficulty.
In consequential decision environments, the picture available at the moment of action is rarely complete.
Information may be distributed across people and systems.
Confidence may persist after the underlying situation has changed.
A formally correct process may continue while the basis that once justified it becomes weaker, outdated or uncertain.
Those conditions led to a recurring research question:
How does a decision system know that the picture it continues to act upon still deserves belief?
From situational awareness to decision continuation.
Earlier research focused on Situational Awareness, Human Factors and the conditions under which operational understanding can degrade while confidence remains high.
That work developed into a broader interest in the relationship between:
- evidence
- judgement
- authority
- changing conditions
- continued action
Over time, the research problem shifted from:
“Is the current picture accurate?”
towards:
“When does a prior decision stop deserving continued reliance?”
Decision Epistemology developed from that transition.
Decision Epistemology
Decision Epistemology is an emerging research programme concerned with the epistemic integrity of decision systems over time.
Its current focus is the maintenance, reassessment and authoritative institutional status of the justificatory basis for continued reliance on long-lived decisions.
The programme is developed under explicit comparator pressure and is designed to remain capable of losing.
Preserve the question, not the terminology.
Decision Engineering
Decision Engineering is the related applied design and practice layer.
It examines how consequential decision systems can remain challengeable, revalidatable and operationally correctable over time.
It is informed by Decision Epistemology but is not reducible to it.
It also draws from Human Factors, systems engineering, operations research, safety science, assurance, governance, organisation design and decision science.
Applied practice does not validate the scientific programme.
Current areas of work.
- Design and analysis of consequential decision systems over time.
- The quality, degradation and continuity of operational understanding.
- How human judgement, information and organisational conditions shape decision quality.
- Systems in which incomplete information, authority, timing and consequence interact.
Coverage before commentary.
The research is strongest where decisions, situational pictures, authority, evidence, recognition, Human Factors and consequence meet.
The programme does not claim ownership over neighbouring disciplines.
Where established architectures explain a function at equal or lower burden, the new construct should narrow, be absorbed or be retired.
I speak where I have coverage.
- Wojciech Z. Kaleta, PhD
- Independent Researcher
- Decision Engineering · Situational Awareness · Human Factors · High-stakes decision systems
- Gdańsk, Poland
The problem came before the programme.
Decision Epistemology did not begin as a search for a new label.
It emerged from a repeated practical and scientific difficulty:
decisions can remain active after the conditions that justified them have changed.
The research question is whether continued reliance still deserves belief.