AI in construction leadership
How generative and predictive AI change executive decision-making on major programmes — and what governance that requires. The AI-GCLM framework is the principal output.
Research
Decision intelligence for infrastructure
Frameworks, working papers and open material on AI-enabled construction leadership, digital twins and infrastructure governance.
Areas
Four programmes of enquiry
Each area connects a delivery problem I have met on site to a research question that could be tested.
Digital twins & smart infrastructure
Keeping a digital twin authoritative rather than decorative: the data discipline, ownership model and update cadence that make one usable in delivery decisions.
Construction as an economic engine (CMEC)
Cross-market economic contribution analysis of UAE, UK and USA construction practice, with foresight roadmaps running to 2050.
Knowledge transfer ecosystems
The PGAN model: how research, advisory, mentoring and talent networking combine into a structure that moves construction knowledge across borders.
Frameworks
GCLM 2.0 and AI-GCLM
The Global Construction Leadership Model and its artificial-intelligence-enhanced successor.
GCLM 2.0
The Global Construction Leadership Model describes intelligent, people-centred project delivery: a structure for how leadership decisions are made, escalated and reviewed on programmes where the technical work is rarely the binding constraint.
AI-GCLM
The AI-enhanced framework extends GCLM into generative-AI-enabled executive decision-making and regenerative mega-infrastructure delivery. Six pillars — strategic visioning, data-driven decision making, lean and agile execution, human-centred team leadership, technology and AI integration — plus autonomous intelligence leadership and regenerative sustainability stewardship.
CMEC
The Cross-Market Economic Contribution framework analyses construction as a global economic engine across UAE, UK and USA practice, with a foresight horizon to 2050.
PGAN ecosystem model
An integrated model for research, advisory, mentoring and talent networking in global construction knowledge transfer.
In preparation
Consolidated GCLM 2.0 manuscript
A single foundational paper consolidating and extending the four published AI-GCLM variants, prepared for journal submission with full prior-publication disclosure.
Open access
Published articles carry registered DOIs under CC BY 4.0. Where a hosted PDF exists it is linked directly from the publication entry.
Working papers
Current and open material
Papers in progress, framework documentation and downloadable material.
Working paper
Decision Latency in Major Programme Delivery
The gap between when information exists on a programme and when a decision is made on it — measured, and treated as the primary delivery constraint.
Working paper
Digital Twins & Smart Infrastructure Governance — Working Paper
What keeps a digital twin authoritative rather than decorative: data discipline, ownership, and the update cadence delivery decisions actually require.
PGAN
PGAN — Knowledge Transfer Ecosystem Model
An integrated model joining research, advisory, mentoring and talent networking into one structure for moving construction knowledge across borders.
CMEC
CMEC — Cross-Market Economic Contribution
Construction analysed as a global economic engine across UAE, UK and USA practice, with a foresight roadmap running to 2050.
GCLM 2.0
GCLM 2.0 — Global Construction Leadership Model
The foundational framework: intelligent, people-centred project delivery, positioning AI as support for leadership judgement rather than a substitute for it.
AI-GCLM
AI-GCLM — Artificial Intelligence-Enhanced Global Construction Leadership
Six leadership pillars extended by autonomous intelligence leadership and regenerative sustainability stewardship — a framework for how AI and human judgement combine on major programmes.
Collaboration
Open to research partnerships, peer review and supervision
Joint papers, industry-linked studies, journal reviewing and structured mentoring for engineers moving into programme leadership.