Public statistics & revisions
What did an indicator mean, which population did it cover, and what was knowable at the time?
Public-interest data infrastructure for the MENA region
We build traceable datasets, reproducible research software and methods capacity for questions that matter across the Middle East and North Africa.
About the Lab
The MENA Open Data & Evidence Lab is an independent research initiative building public infrastructure around hard-to-use regional economic data.
Our work sits between research, data engineering and public-interest technology. We preserve source definitions, revisions, rights and uncertainty so a number can be traced back to what was actually published—and what it can responsibly support.
Research
Our agenda begins where available data stops being straightforward: at revisions, shifting definitions, incomplete coverage and institutional context.
What did an indicator mean, which population did it cover, and what was knowable at the time?
How do technology claims translate into operational adoption, organizational change and employment outcomes?
How can economic stress be measured without collapsing unlike periods, places and lived conditions into one misleading score?
Which empirical claims survive reproduction, alternative specifications and transparent failure tests?
Data & Software
New project starts are frozen while two flagships move through public release gates. Each carries data, code, methodology, provenance, limitations, validation and an outside-audit handoff.
A six-month, five-country price-data release candidate built from official publications. Structural breaks and regional exceptions remain explicit, and no composite stress index is released while comparability is unresolved.
A source-bound 50-firm panel that separates AI disclosure from operational adoption and keeps changing employment definitions visible before any causal estimate is allowed to run.
People
People are listed by verified role and public contribution. Contributor and collaborator profiles are added with their consent when work enters the public record.
Founder & Research Director
Researcher and data builder working across empirical economics, financial markets, causal inference and reproducible research systems. Recipient of the 2026 Charles H. Dow Award.
Contributors · 0 accepted
Accepted contributions will be credited in project records and added here with consent. Current tasks include source auditing, second coding and blind reproduction.
Research collaborators · 0 confirmed
Collaborators will be named only after scope, role and public attribution are confirmed. See open tasks
Workshops
Methods capacity
Each Lab workshop is designed around a complete research object: source files, code, decisions, tests, exercises and a reusable answer key.
A 90-minute working session that moves from raw source files to a checked result, then makes every transformation and judgment inspectable.
Open Science
Version data and document revisions
Publish methods, code and machine-readable results
Separate observed, derived and synthetic records
Keep rights and licensing attached to sources
Maintain correction and contribution routes
Report nulls, failures and validation limits
Partners & Memberships
The Lab distinguishes active membership processes, public collaborations and prospective relationships. No logo or institutional name is used to imply an agreement that has not been formalized.
FORM
An application to join FORM’s regional Open Science community is in progress. The Lab does not claim membership, partnership or FORM endorsement unless and until FORM confirms it publicly.
About FORMPartnership register
We publish an organization only after scope, responsibility and attribution are confirmed. Current collaboration routes include dataset co-development, independent validation and workshop hosting.
Discuss collaborationInstitutional materials
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