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Undertake projects

Plan, conduct and disseminate ready4 modelling projects.

What?

A ready4 modelling project undertakes novel analysis of youth mental health topics by using, enhancing and/or authoring model modules, datasets and executables. Each ready4 modelling project has its own unique funder(s), governance, objectives and team. The links between modelling projects are in the form of a common framework and membership of a collaborative community.

Undertaking modelling projects will help us achieve our following priority goals:

Who?

Modelling projects should typically be led by a researcher (who may or may not be a modeller) or planner. The core project team will always include modelling expertise and, should authorship of new modules (or extensions to existing modules) be required, will also need to include coders. Advisory structures to engage young people and planners are also recommended.

How?

There are three main steps in implementing a ready4 modelling project.

Step 1: Develop model

Each project’s computational model is constructed by adopting one or more of the following strategies:

As part of the validation and verification process for all new and derived modules, tests should be defined, bundled as part of the relevant module libraries and rerun every time these libraries are edited.

Step 2: Add data

By data we typically mean digitally stored information, principally relating to model parameter values, that can be added to the ready4 computational model to tailor it to a specific decision context (e.g. a particular population / jurisdiction / service / intervention) and set of underpinning beliefs (e.g. preferred evidence sources). Data for a ready4 modelling project will be from one or both of the following options:

Step 3: Run analyses

ready4 project analyses apply algorithms contained in ready4 modules to supplied data to generate insight and can be implemented by:

When reporting analyses, using a reporting template can be useful.