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1 - Public perspectives on multi-agency data linkage in children's mental health

Tracks
Tuesday, May 12, 2026
10:00 AM - 11:15 AM

Overview

Oral Presentation Presented by: Xiaotong Ding


Details

By the end of this session participants will be able to: -Describe the perspectives of children, young people, and parents/guardians on linking routinely collected health data across services for paediatric health research. -Identify key conditions required for public trust in the use of linked health data and artificial intelligence tools, including data quality, governance, transparency, and security. -Discuss the role of meaningful and continuous public involvement in the development and implementation of data-driven innovations such as federated analysis and AI-based tools for early identification of mental health problems.


Speaker

Ms. Xiaotong Ding
Research Assistant
University Of Cambridge

Presenter

Biography

Kunyi is a Research Assistant in the TIMELY Research Group at the University of Cambridge, where she plays a key role in building a population wide, linked, de-identified data resource for paediatric health research. She specialises in harmonising multi-provider datasets into a common data model and has designed a standardised processing pipeline, including automated Python workflows now used across the project.

Her research focuses on large scale data and statistical modelling to uncover how biopsychosocial factors shape mental health outcomes in children and young people. Her work has been published in Behaviour Research Methods, and she has presented at UK’s East of England Regional Patient and Public Involvement Panel.

Before joining Cambridge, Kunyi completed an undergraduate degree in Experimental Psychology and a Master’s in Clinical and Therapeutic Neuroscience at the University of Oxford.
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