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Resources for public involvement with AI (Artificial Intelligence) to understand multiple long-term conditions

A collection of resources focused on public involvement in data research, compiled by the AI for Multiple Long Term Conditions Research Support Facility (AIM RSF) at the Alan Turing Institute.
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Rapid involvement of patients and the public in evidence synthesis (RIPPLES)

The NIHR (National Institute for Health and Care Research) Innovation Observatory provides a framework to support researchers to involve public members in evidence syntheses (a process to summarise available evidence) with short time frames.
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Can we create a culture of public engagement in data research?

A PEDRI (Public Engagement in Data Research) webinar exploring what creating a culture of public engagement means in practice to ensure that data research and statistics remains relevant, inclusive and impactful.
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