01
Stage · Diagnose
Co-design the question
Question framing with workforce, ministry, and university partners. The implementation use-case is set here – not at the publication stage.
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Evidence, built
where the
work happens.
Applied field epidemiology, surveillance research, and AI-enabled health screening – built in partnership with the universities, ministries, and workforce institutions where the prevention question actually lives. CIHR-funded silicosis-and-TB programme with UBC, UCT, and SAMA.
The Brief
Evidence belongs in the field.
That’s where prevention happens.
Research only changes occupational health outcomes when evidence reaches the workforce. Our practice connects field epidemiology, surveillance and applied research directly to the institutions responsible for prevention.
Why field-based evidence matters
Occupational health research that does not reach the workforce it studied has, by an exacting standard, failed. The research literature on silicosis, TB co-morbidity, and occupational lung disease is large and well-developed; the disease itself is concentrated in the populations the literature has consistently failed to reach.
Our research practice exists to close that translation gap. We co-design research with the workforce institutions, ministries, and university partners who hold the implementation levers – CIHR co-applicant status with the University of British Columbia and the University of Cape Town, in partnership with the Southern Africa Miners Association, drawing on a cohort representing three million workers.
The work is applied, not academic. The deliverable is a tool, a model, a protocol, or an evidence brief that functions inside an existing prevention system – not a paper read by other researchers in adjacent specialties.
Principle · 01
Research is co-designed, not delivered.
Workforce institutions, ministries, and universities each hold a piece of the question. We design the study with all of them at the table from the beginning.
Principle · 02
Evidence is actionable, not adjacent.
The deliverable has to fit inside an existing prevention system on day one. If a regulator, an inspectorate, or a workforce body cannot use it, it is the wrong deliverable.
Principle · 03
AI is a tool, not an answer.
Machine-learning models for radiograph reading are useful when they are governed, audited, and embedded in human workflow. We work on the governance layer at least as carefully as we work on the model.
What we deliver
Six lines of
research & evidence
work.
The Method
How a research programme
actually runs.
02
Stage · Measure
Run the field study
Study protocol, ethics, field data collection, and quality assurance – conducted to peer-review standard with the implementation partner inside the workflow.
03
Stage · Engineer
Synthesise the evidence
Analysis, peer review, and translation into the artefact the implementation partner can actually use – model, protocol, brief, or guideline.
04
Stage · Embed
Deploy & follow up
Adoption support, deployment audit, and post-deployment evaluation. Evidence that does not change practice is filed; we measure adoption.
Recent & current
Three programmes,
in practice.
Active programme
2022 →
CIHR · UBC · UCT · SAMA
Co-applicant on a Canadian Institutes of Health Research (CIHR) grant building an AI-assisted radiograph reading pipeline for silicosis-and-TB detection in southern African mining cohorts. Partners – University of British Columbia, University of Cape Town, SAMA. The largest applied-research grant in the practice's history.
Type
Multi-partner grant
Funder
CIHR Canada
Forthcoming
2026
CARICOM · OSH book
Forthcoming single-author book: National Occupational Safety & Health Information Systems in the Caribbean – Institutional Framework and Implementation Guide. Built on a decade of regional advisory work under CARICOM expert roster status. Publisher confirmation in progress.
Type
Monograph + guide
Region
CARICOM · 14 states
Standing role
2020 →
ISO/TC 283 · DCCG
Co-Convenor of the Developing Countries Coordination Group on ISO 45001 – the standards-research and evidence-synthesis work that backs the policy positions of more than eighty developing nations inside ISO/TC 283. Evidence briefs, comparative analyses, and standards-development input.
Type
Standards research
Forum
ISO Geneva
Research areas
Where the research
happens.
Active and recent research lines – applied, partnered, and concentrated on the disease categories where the prevention gap is widest.
Silicosis detection
CIHR · UBC · UCT
Silica – TB co-morbidity
SADC cohorts
AI radiograph reading
Model + governance
Engineered-stone disease
Accelerated silicosis
Occupational lung
Surveillance research
National OSH info
CARICOM monograph
Standards evidence
ISO/TC 283 DCCG
Migrant workforce
GCC + SADC
Compensation systems
Comparative research
Heat & climate
Outdoor workforce
OSH inspector
Capacity research
Equity audit
ML model fairness
Research that does not reach the workforce it studied has, by an exacting standard, failed. We measure ourselves by adoption.
Dr. Nayab Sultan
Founder & CEO