Inclusive Data in the Age of AI

A new MRS training course for researchers and insight professionals navigating inclusivity, digital data and emerging technologies.

As researchers, we’re operating in a fast-evolving landscape — one shaped by growing societal polarisation, increasing volumes of digital data, and the rapid rise of AI. In this environment, how do we ensure our work remains inclusive, representative, and truly reflective of the audiences we aim to serve?

This updated training course builds on the foundations of “Goodbye to Stereotypes” and has been expanded to reflect new challenges and opportunities in inclusive research and data use.

Whether you work in qual or quant, in-house or agency side, this session will help you navigate:

• How to embed inclusive practices into the design, collection and interpretation of both primary and secondary data
• The opportunities and risks presented by AI and automated tools in research
• Ways to ensure AI outputs do not reinforce bias or misrepresentation
• How research buyers can challenge assumptions and improve inclusivity in briefs and commissioning
• Representation gaps in datasets and how to close them through sampling, framing and ethical use of digital data
• Real-world examples of inclusive research with minority groups — and how to build from them

This course is ideal for:
Researchers, analysts, insight leads, and buyers who want to ensure their approaches are inclusive and future-facing — without compromising on rigour.

Trainer bio

This course is designed and delivered by Sania Haq, founder of Goodbye to Stereotypes and a leading specialist in inclusive research and inclusive data. Sania has worked with major organisations including the British Standards Institution to explore the role of inclusive data in global governance, women’s empowerment, and the UN Sustainable Development Goals — particularly around gender equality and reducing inequalities. Her work places her at the forefront of inclusive data practices, both within market research and in broader policymaking contexts.

Testimonials

"Inspiring."

Chloe Stephenson - COUCH Health, June 2023

"Refreshing to have emphasis on equity in the professional world."

Frammy Jenkins - Cogito, February 2023

"Helpful and well-presented summary of ways to improve inclusivity in market research, with good examples."

Ellen King - Critical Research, February 2023

"Excellent, thought provoking and inspiring!"

Claire - Virgin Media O2, September 2022

"Beautifully delivered course of invaluable tools and considerations when conducting inclusive research."

Daniela – Sparkler, September 2022