Datafront Skill Surge: Overview of circular economy

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 6 will explore how the circular economy provides a sustainable alternative to our current linear economic model, offering solutions to pressing global challenges like resource depletion and environmental degradation.

 

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 the Circular Economy: Learn the fundamentals and key principles of the circular economy, including closed-loop systems and resource optimisation.
• Identify Core Components: Recognise the core components that drive circular economy models, such as reducing waste, reusing materials, and recycling.
• Explore the Benefits: Discuss the environmental and economic benefits of shifting from a linear to a circular economy.

 

Skills area and competencies

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

Skills Areas:

• Data Literacy: Understanding and interpreting data relevant to circular economy practices and resource management.
• Problem Definition and Stakeholder Communication: Skills in defining environmental and economic sustainability challenges, including effective communication with stakeholders about the benefits of circular models.
• Data Analysis: Applying data analysis techniques to assess and improve resource use efficiency within circular economy frameworks.

Competencies:

• Analytical Competency: Ability to evaluate circular economy practices and identify opportunities for optimisation using data.
• Strategic Thinking and Decision-Making: Competence in formulating sustainable strategies for circular models based on data insights.
• Ethical Data Use and Environmental Awareness: Understanding of ethical considerations in using data to support circular economy practices while prioritising environmental well-being.

 

Pre-requisite

• Basic Knowledge of Environmental Sustainability and resource management.
• Familiarity with Data Concepts, such as data collection and analysis.
• Interest in Circular Economic Models and green practices.

 

Learning outcomes

• Define and Explain Circular Economy Concepts: Ability to describe circular economy principles and their applications.
• Use Data to Recognise Opportunities: Skills in identifying areas for resource efficiency through data analysis.
• Communicate Sustainability Benefits: Effectively communicate the advantages of circular models in reducing environmental impact.

 

Transferable skills

• Data Analysis and Interpretation: Gaining skills to analyse data for sustainable outcomes within circular economy models.
• Stakeholder Engagement: Ability to clearly communicate data insights and sustainability benefits to a variety of stakeholders.
• Problem-Solving in Sustainability Contexts: Applying circular economy principles to address real-world challenges in sustainability.

 

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.