QUESTIONS & DIRECTIONS
Research
programmes.
Five connected research directions, from understanding a business to supporting human decisions.
Research directions
Business understanding
How does this business work?
Represent operating models, activities, terminology, dependencies and decisions in a form that can be examined and revised.
Possible research artefact
A system representation with explicit boundaries, definitions and assumptions.
Data & knowledge representation
How does the information connect?
Explore ways to connect fragmented records while retaining context, source meaning and relationships.
Possible research artefact
A reproducible mapping or knowledge representation with source lineage and documented limitations.
Analytical intelligence
What is the evidence telling us?
Investigate useful measures, comparisons, statistical methods and pattern detection against an explicit business question.
Possible research artefact
A baseline, a reproducible experiment and diagnostics that explain what the evidence supports.
Forecasting & decision systems
What could happen, and what can we do?
Explore forecasts, scenarios, simulation and optimisation where data coverage and quality meet the method’s requirements.
Possible research artefact
A scenario or evaluation protocol with assumptions, uncertainty and operational constraints.
Human–AI collaboration
How do people stay at the centre?
Study how people and intelligent systems can share evidence, explanations and review while retaining accountable decisions.
Possible research artefact
A reviewable interaction or evaluation protocol that keeps evidence and human judgement visible.
Technical workstreams
Proposed technical areas support the five directions. Public repositories will be linked when reviewed artefacts are available.
View the twelve proposed workstreams
01Business Systems Research & Modelling
System boundaries, operating models and process representations.
Proposed repository: research-systems-modelling
02Data Acquisition, Integration & Preparation
Source mapping, preparation rules and validation checks.
Proposed repository: research-evidence-preparation
03Data Platforms & Engineering
Versioned datasets, pipeline contracts and storage patterns.
Proposed repository: research-data-platforms
04Data Governance, Quality & Lineage
Ownership, permitted use, quality and traceability.
Proposed repository: research-data-governance
05Business Intelligence & Data Visualisation
Measure definitions, comparisons and explanatory visuals.
Proposed repository: research-business-intelligence
06Advanced Analytics & Statistical Research
Exploratory methods, diagnostics and uncertainty.
Proposed repository: research-statistical-methods
07Machine Learning & AutoML
Baselines, validation design and model evaluation.
Proposed repository: research-machine-learning
08Artificial Intelligence & Knowledge Systems
Retrieval, evidence grounding and structured knowledge.
Proposed repository: research-knowledge-systems
09MLOps & Model Monitoring
Versioning, deployment checks, drift and monitoring.
Proposed repository: research-model-operations
10Decision Intelligence, Simulation & Optimisation
Scenarios, constraints and alternative evaluation.
Proposed repository: research-decision-science
11Collaboration & Research Operations
Review, attribution and reproducible research workflows.
Proposed repository: research-collaboration
12Software Engineering, Automation & Infrastructure
Interfaces, automation and observable systems.
Proposed repository: research-systems-engineering