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  1. About Us
    1. About Us
    2. The Team
    3. Member Organisations
    4. Governance
  2. Research & Knowledge Mobilisation
    1. Research & Knowledge Mobilisation
    2. Impact
    3. Social Care and Social Work
      1. Social Care and Social Work
      2. Social Care - Kent, Surrey & Sussex Region
    4. Starting Well: Children's Mental Health
      1. Starting Well: Children's Mental Health
      2. Meet the team
    5. Primary and Community Health Services
      1. Primary and Community Health Services
      2. Meet the team
    6. Living Well with Dementia
      1. Living Well with Dementia
      2. Meet the team
    7. Co-production
      1. Co-production
      2. Meet the team
    8. Public Health
      1. Public Health
      2. Meet the team
    9. Digital Innovation
      1. Digital Innovation
      2. Meet the team
    10. Economics of Health and Social Care
      1. Economics of Health and Social Care
      2. Meet the team
    11. Implementation
      1. Implementation
      2. Meet the team
    12. Rapid Evidence Synthesis
      1. Rapid Evidence Synthesis
      2. Meet the team
    13. Knowledge Mobilisation
      1. Knowledge Mobilisation
      2. Meet the team
  3. Public and Community Involvement
    1. Public and Community Involvement
    2. What is PCIE?
    3. Getting Involved
    4. Support for researchers
    5. Resources
    6. PCIE Guide
      1. PCIE Guide
      2. Contents
      3. Introduction
        1. Introduction
        2. An overview of ARC KSS
        3. Who can help you with PCIE?
        4. Terminology and PCIE
      4. Why and When to do PCIE
        1. Why and When to do PCIE
        2. Why involve members of the public in research?
        3. Why do members of the public want to get involved in research?
        4. When to get members of the public involved?
      5. How to do PCIE
        1. How to do PCIE
        2. Communication and Accessibility
        3. Budgeting
        4. Planning for involvement and engagement
        5. How to recruit members of the public
        6. Inclusive Research
        7. Approaches – different options for undertaking PCIE
        8. Facilitating meetings and Group dynamics
        9. Ethics
        10. Feedback
        11. Impact and Evaluation
      6. Examples/Case Studies
      7. Appendix/Useful tools
  4. Learning and Development
    1. Learning and Development
    2. ARC KSS AcademyARC KSS Academy
    3. Learning and DevelopmentLearning and Development
      1. Learning and Development
      2. Learning and Development Finder
      3. Researchers Journeys
    4. MentorshipMentorship
    5. Research communities of practiceResearch communities of practice
    6. Research Week Research Week
      1. Research Week
      2. Research Week 2025: Poster Competition
      3. Previous Research Weeks
    7. NIHR Health and Care Professional Internship Programme South EastNIHR Health and Care Professional Internship Programme South East
  5. Resource Library
  6. Events
  7. News
  8. Contact Us

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Daniel Lai Jie

PhD Student (Canterbury Christ Church University) Digital Innovation

Daniel Lai Jie

Daniel joined ARC KSS in November 2022 as a PhD Student working as part of the Digital Innovation Theme. 

Daniel completed his BSc in Psychology at Bangor University where his passion for research and mental health was cultivated. His interest in circadian health was found whilst completing his MSc in Organisational Psychiatry and Psychology at King’s College London. Building on his interest in mental health, his dissertation validated the Caen Chronotype Questionnaire (CCQ) and explored the incremental validity of its subjective amplitude dimension in predicting depressive symptoms among the UK working population.  

His studentship is jointly funded by the ARC KSS and Canterbury Christ Church University. The project collaborates with Intensive Care Units (ICU) in the KSS region and aims to explore relationships between the 3 domains of Post Intensive Care Syndrome (PICS) and circadian health among early post-discharge intensive care patients (0-3 months). The pilot eHealth protocol proposes a cost-efficient, non-labour-intensive method which aims to identify key markers that aid decisions of early intervention. 
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