Organisational knowledge and the knowing organisation
How knowledge emerges through interactions among individuals, organisations, technologies, artefacts and ecosystems, and how an organisation can be designed to observe, question, interpret, learn, create knowledge, decide, act and adapt continuously.
Grounding- Organisational knowledge creation (Nonaka and Takeuchi)
- The knowing organisation (Choo)
- Sensemaking in organisations (Weick)
Artefacts- SPHINX inquiry system
- Context Brief schema
- Evaluation instrument with expert rounds
Epistemological agents
Agents designed around what they know, how they know it, which sources they consider reliable, where interpretations conflict, where uncertainty lies and how new evidence changes conclusions. The design unit is the claim and its entitlement, not the task.
Grounding- Epistemic logic and justification
- Provenance models (PROV-O)
- Paraconsistent handling of contradiction
Artefacts- Five epistemic lenses with questioning-myopia taxonomies
- Claim objects with polarity, modality and contestation edges
- MINERVA separation of TrendScore and Confidence
Organisational inquiry and question generation
Most organisational questions seek confirmation. We study how to generate exploratory questions from structured context, how to evaluate them with experts, and how the practice of questioning changes what an organisation can see.
Grounding- Inquiry as a mode of organisational learning
- Question-asking in strategic studies
- Design science research
Artefacts- Lens agents
- Inquiry rounds and invitations
- Voice-note evaluation instrument
Context-aware systems and context engineering
Context is an object with structure, provenance and quality gates, not a prompt. We study how to assemble domain, organisational, temporal, geospatial and stakeholder context for humans and agents, and how to evaluate it.
Grounding- Context modelling in information systems
- Retrieval evaluation
- Citation verification
Artefacts- Context Builder Blocks 0–5
- Deep Research Context Mapping, 15 stages
- Citation audit and numeric anchoring
Human–AI collaboration
Where should the model propose and the human decide? We treat human-in-the-loop as an architectural commitment: registry data beats model assertions, refusal is a valid result, and every decision is recorded with its reason.
Grounding- Mixed-initiative systems
- Human factors in automation
- Accountability in socio-technical systems
Artefacts- Entity-resolution corroboration gate
- Traced expert consultation
- Groundedness gate in RAG
Knowledge graphs and ontologies for ecosystems
Formal vocabularies for actors, relationships, territories and signals in productive ecosystems, built on standard foundations and extended only where nothing else covers the need.
Grounding- FOAF, ORG, PROV-O, OWL-Time, SKOS
- SHACL validation
- Semantic interoperability
Artefacts- Productive-ecosystem ontology v2.6
- Closed relation vocabulary
- Provenance-of-instantiation ontology
Ecosystem intelligence and higher-order relationships
Industries as chains, territories, networks and hypergraphs. We study when pairwise networks fail and when a hyperedge is the honest representation.
Grounding- Network science
- Hypergraph theory
- Regional economics: Location Quotient, functional territories
Artefacts- Value-chain schema (phases × CNAE × NCM × agents)
- Hypergraph panels
- Actor and tension graphs in MINERVA
Emerging technologies and signal detection
How to detect what is changing, as opposed to what is being discussed, across science, technology, industry, market, activity and regulation, and how to keep momentum and confidence separate.
Grounding- Weak-signal theory
- Technology forecasting
- Scientometrics and patent analytics
Artefacts- MINERVA: 22 event types, six dimensions, quadrants and trajectory stages
- PESTEL scanner with seven-part deterministic score
- Weak-signal patent analysis