Credits
6 ECTS
Semester
2 Semester
Delivery
Online
Duration
13 weeks
Language
About This Course
This course examines how data analytics and digital technologies can support circular economy practices in the social economy, with a focus on cooperatives, social enterprises and community-based organisations. It shows how data can be used to optimise resources, improve transparency and measure social impact, while addressing ethical, governance and inclusion challenges. Through real-world cases and applied analysis, students develop the skills needed to design responsible, data-driven circular solutions that deliver tangible social and community value.
What You Will Learn
Your 13-Week Journey
Week 1 – Data-Driven Circular Economy Basics
Introduction to circular economy principles and how data enables social impact and circular strategies.
Week 3 – Sharing Platforms and Community Reuse
Exploring data-driven sharing models such as libraries of things and community reuse initiatives.
Week 5 – Circularity in Social Organisations
Applying circular economy principles in cooperatives, social enterprises, and community organisations.
Week 7 – Social Impact Assessment and Reporting
Measuring and reporting social impact using data-driven assessment methods and indicators.
Week 9 – Policy and Data Infrastructures
Exploring policy frameworks and data infrastructures that enable social circular economies.
Week 11 – Indicators for Social Circularity
Developing indicators to measure the social dimension of circular economy initiatives.
Week 13 – Future of Data-Driven Social Circular Economy
Exploring emerging trends in data, inclusion, and community-centred circular innovation.
