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Initiatives

AI in research:
resources and support

We believe the future of research isn’t a choice between AI and human expertise – it’s the combination of both. While organisations are rapidly embedding AI into their functions, the real advantage will belong to those who pair powerful technology with insightful, critical thinking.

We’re here to support you and your teams through this shift, with over 15 new AI and analytics courses, alongside training in essential human skills. You can also access practical AI guidance, webinars, conferences and daily coverage on Research Live – all supporting you get to grips with AI. 

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Read the latest AI news: platforms, companies and trends

Published on Research Live
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AI and Analytics courses

See our wide range of AI tools and analytics training to upskill in a time of rapid change in research.
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AI standards guidance

See our range of guidance to help practitioners act legally and ethically when using AI and related technologies.
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AI leadership reports

The MRS Delphi group has published a 3-part series on creating a framework for using gen AI in research.
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Advanced Insights & Analytics Council papers

The AIA Council has produced papers on combining traditional research methods with AI and synthetic data.
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Podcast: The problem with data quality

In a 3-part series Research Live asks what can be done to fix weaknesses in the sector's data quality.
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Fair Data accreditation

Fair Data accreditation recognises organisations that process their customers' personal data fairly.

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Global Data Quality (GDQ) initiaitive

MRS coordinates an international effort to build confidence in data the sector collects through guidance and standards.
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Global Data Quality Pledge signees

See the organisations signed up to the Global Data Quality pledge, which can all be found in the Research Buyer's Guide.

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