Datafront Skill Surge: Transformation of daily routines

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 26  will explore how digitalisation is reshaping everyday life, the benefits and drawbacks of these changes, and what the future holds for our digital lifestyles.

 

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

• Understand how digitalisation has reshaped daily routines in work, health, communication, and leisure.
• Evaluate both the benefits and challenges of hyper-digitalisation, from increased efficiency to mental fatigue.
• Explore future trends in digital engagement and their long-term societal implications.

 

Skills area and competencies

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

Skills Areas:

• Digital Literacy & Adaptation: Understanding emerging digital tools and their applications.
• AI & Automation Awareness: Evaluating the impact of smart technologies on daily routines.
• Strategic Digital Engagement: Leveraging digital tools for efficiency without over-reliance.

Competencies:

• Analysing digital transformation trends and their impact on daily life.
• Understanding the ethical implications of AI-driven personalisation.
• Evaluating digital well-being practices to prevent burnout and overuse.

 

Pre-requisite

• A basic understanding of digital platforms (e.g., AI assistants, remote work tools, smart devices).
• General awareness of how automation and AI influence personal habits.
• Interest in exploring the balance between convenience and digital well-being.

 

Learning outcomes

• Assess how digitalisation has reshaped daily routines in work, health, and social interaction.
• Understand the role of AI and automation in modern productivity and lifestyle management.
• Identify potential risks of digital dependence and strategies for mitigating negative impacts.

 

Transferable skills

• Digital Adaptability: Adjusting to evolving tech-driven environments.
• Data & AI Literacy: Understanding automation’s role in everyday decision-making.
• Well-being & Productivity Management: Balancing efficiency with digital health practices.

 

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.