Datafront Skill Surge: Future directions in lifestyle research

Course description

What do we mean when we talk about administrative data? Why is administrative data considered such a powerful tool?

Routinely collected administrative data captures interactions across the entire population, offering an unparalleled breadth and depth of information.

This on-demand series aims to equip researchers with the knowledge and skills to harness data for societal and sustainable change. This series covers important topics such as the use of administrative data in policymaking, circular economy models, climate resilience, and the impact of digital media on behaviour, with emphasis on the importance of interdisciplinary collaboration and innovative strategies to address global challenges.

Participants will gain insights from experts, study case studies, and explore practical examples that illustrate how data-driven approaches and emerging technologies are transforming urban planning, agriculture, and health – that will empower researchers to shape the future of the data landscape!

• Session 30 will explore how researchers are integrating wearable technology, real-time biometric data, behavioural science, and AI-driven predictive analytics to shape new methods of understanding and improving well-being.

 

Learning mode

On-demand, self-paced 

 

Who should attend

This course is intended for:

• Data Analysts and Researchers: Those working with administrative or big data who want to deepen their understanding of its characteristics and uses.
• Policymakers and Government Officials: Decision-makers who rely on data to shape public policies.
• Public Sector Managers: Managers in government institutions seeking to optimise data usage for service improvements.
• Health and Social Care Professionals: Individuals looking to use data for improving service delivery and outcomes.
• Urban Planners and Public Health Professionals: Individuals interested in using administrative data to inform planning and health policies.

 

Aims and objectives

• Explore how AI, big data, and wearable health technology are transforming lifestyle research by enabling real-time health tracking and personalized interventions.
• Examine the role of behavioral science in digital health research, focusing on how lifestyle data informs decision-making.
• Evaluate the ethical, privacy, and regulatory challenges associated with AI-driven health analytics.

 

Skills area and competencies

Based on the Datacise Open Learning framework, the relevant skills and competencies for this video include:

Skills Areas:

• AI and Health Data Analytics – Understanding how machine learning and predictive models inform lifestyle research.
• Behavioral Science and Digital Health – Evaluating how digital health tracking influences behavior modification.
• Policy and Public Health Awareness – Understanding the implications of AI-driven health monitoring on healthcare regulations.

Competencies:

• Evaluating how digital health tracking impacts human behavior and well-being.
• Understanding the intersection of AI, behavioral science, and healthcare policy.
• Assessing the risks of algorithmic bias in AI-driven health recommendations.

 

Pre-requisite

• Basic familiarity with health sciences, technology, or behavioral research is helpful but not required.
• No prior experience with AI, predictive analytics, or regulatory policies is necessary.
• Suitable for learners in public health, digital health, data science, behavioral research, and policy-making.

 

Learning outcomes

• Explain how digital health tracking and AI are transforming lifestyle research.
• Analyze the role of behavioral science in digital health interventions.
• Assess the ethical challenges of real-time biometric tracking and AI-driven recommendations.

 

Transferable skills

• Digital and AI Literacy: Evaluating AI-driven recommendations in personalized health and wellness.
• Privacy and Ethics Awareness: Understanding regulatory frameworks and data protection in digital health analytics.
• Public Health Policy Awareness: Examining how AI-driven health research impacts healthcare systems and policy decisions.

 

Assessment

Multiple choice quiz to self-check understanding. 

 

This training content was originally developed and produced by Professor Adam Chee, Datacise Education Lead at Swansea University, with narration enhanced by advanced text-to-speech technology.