Resources

To start, to progress and to use it as a team.

Behind the general description there is genuinely more detail. The pages below show what the product does today and what still needs separate authority.

Getting started

To open your first study and turn your description into work.

How it works

How MMT takes on the work and where the decision stays with you, step by step.

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Describe your own work

Start in your own words without picking an example; your description carries into the work after sign-in.

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MMT AI guide

Ask about the product, how to start and which connection is needed.

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Working with files and data

To read your tables correctly and actually run the computation.

The Academia work chain

Sources, data sufficiency, method decision, computation and continuation.

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Use cases

Examples where input, context, work done, decision and output stay connected.

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Academic data and privacy

How your research data is handled and which boundaries are kept.

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Team and institutional use

Membership, units, roles and access rules.

Academia for institutions

Membership, units, work access, sharing and handover.

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Membership and access

The current access arrangement and usage right.

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Trust and boundaries

Evidence, human control and a real outcome never substitute for one another.

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Support

When you get stuck.

Help

Frequently asked questions and ways to reach us.

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Contact

Reach us about institutional use and product direction.

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Connections

What each connection does, which permission it needs and how to remove it.

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