Datafront Skill Surge: Innovations & trends in 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 10 will explore the key innovations that are driving the circular economy forward and look at future trends that will influence how industries adopt circular practices..

 

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 Emerging Innovations: Learn about the latest technological and process innovations that support circular economy goals, including AI, IoT, and advanced recycling technologies.
• Identify Key Trends: Recognise major trends driving circular economy growth, such as closed-loop manufacturing, product-as-a-service models, and digital tracking.
• Understand the Future of Circular Economy: Discuss how these trends and innovations will shape the future of sustainable business practices and resource management.

 

Skills area and competencies

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

Skills Areas:

• Data and Technology Literacy: Developing an understanding of how data, AI, and IoT technologies drive circular economy innovations.
• Strategic Trend Analysis: Gaining skills in identifying and interpreting trends that influence circular economy practices.
• Problem-Solving with Emerging Tools: Applying data and emerging technologies to address challenges in resource recovery, waste reduction, and circular supply chains.

Competencies:

• Innovative Thinking: Competence in recognising and applying emerging innovations in circular economy models.
• Data-Driven Decision-Making: Ability to leverage data and technology to make informed decisions that support circularity.
• Ethical and Environmental Responsibility: Understanding the importance of ethical data use and sustainable practices in advancing circular economy trends.

Pre-requisite

• Basic Understanding of Circular Economy Principles and sustainability practices.
• Familiarity with Emerging Technologies like AI, IoT, and data analytics in sustainability.
• Interest in Innovation and Trend Analysis for sustainable development.

 

Learning outcomes

• Recognise Key Innovations: Ability to identify the latest technologies and process innovations in the circular economy.
• Interpret Trends in Circularity: Skills in recognising trends like closed-loop systems and understanding their implications for sustainable practices.
• Apply Data and Technology to Circular Models: Develop skills in using data and technology to enhance circular economy processes and make resource management more effective.

 

Transferable skills

• Analytical Thinking and Interpretation: Gaining skills in analysing trends and innovations within the circular economy.
• Technical Proficiency: Developing knowledge of how to use AI, IoT, and data analytics in advancing circular practices.
• Sustainable Problem-Solving: Applying innovative solutions and data insights to solve sustainability challenges and promote resource efficiency.

 

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.