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Weavidence

Ecosystem overview · linear reading mode

Scientific learning, study design, and analysis — connected by evidence you can stand behind.

Weavidence is a modular ecosystem for professional scientific work. Each product is useful on its own; together they preserve a visible path from what people learn, through how studies are designed, to how data are analysed and reviewed.

Three products

Different jobs, one accountable evidence chain

Foundation stage

Weavidence Academy

Scientific learning connected to versioned knowledge, deliberate practice, and evidence of demonstrated competence. Academy is not yet a public application and makes no claim of proven learning effectiveness.

Explore Academy

Available

Weavidence Journey

A guided workspace for turning research questions into explicit study-design decisions and a reviewable protocol. Journey supports research design; it is not a clinical decision system and external scientific validation is not yet complete.

Explore Journey

Active development

Weavidence Lab

A continuous analytical workspace for data quality, remediation, modelling, provenance, and inspectable evidence artifacts. Lab is not publicly accessible or production-ready.

Explore Lab

Shared principles

Human authority, visible reasoning, bounded assistance

Human final call

Important scientific and professional decisions remain with the person responsible for the work.

Traceable decisions

Inputs, alternatives, assumptions, revisions, and outputs remain inspectable rather than disappearing behind a result.

Truthful product status

Availability, validation, limitations, and synthetic examples are stated where decisions are made.

AI as bounded support

Jana may help explain, challenge, or organise work, but it is not represented as an autonomous authority.

Public knowledge

Weavidence Insights

Insights is the public editorial publication of the ecosystem, not a fourth product. It publishes source-grounded material on public-health practice, study design, reproducibility, scientific learning, and the engineering of reliable evidence systems.

Choose an entry point

Start with the work you need to do

Learn with Academy, design a study with Journey, understand the analytical direction of Lab, or explore the public methods library in Insights.