Secure your place for the October 2026 intake.


EC7 - International Conference/Bootcamp on Digital Deep Tech-Driven Circular Economy 

Connecting deep-tech innovation with circular economy thinking through research, practice, and global collaboration.

Credits

6 ECTS

Semester

2 Semester

Delivery

Online

Duration

13 weeks

Language

English

About This Course

This is a second-semester course in the MBA in Digital Deep Tech Driven Circular Economy
This postgraduate course awards academic credit through participation in an international online conference or bootcamp on digital deep-tech innovations driving the circular economy. Students engage with expert lectures, research presentations and workshops exploring how technologies such as AI, IoT and blockchain support sustainable business models, resource efficiency and system resilience. Through critical analysis of conference content and real-world case studies, the course connects digital transformation with circular economy frameworks and ethical considerations, while strengthening students’ analytical, interdisciplinary and communication skills in an international context.

What You Will Learn


Deep-Tech Innovations for the Circular Economy

  • Emerging technologies enabling circular systems (AI, IoT, blockchain)
  • Digital tools improving product lifecycles and resource efficiency
  • Deep-tech solutions supporting sustainable industrial innovation


Global Research & Industry Perspectives

  • Cutting-edge research presented by international experts
  • Case studies linking digital transformation and sustainability
  • Multidisciplinary approaches to circular economy challenges


Societal & Ethical Dimensions of Deep-Tech

  • Social and environmental implications of digital innovation

  • Responsible deployment of emerging technologies

  • Policy and governance frameworks supporting sustainable innovation

Your 13-Week Journey

Here’s how your learning unfolds

Week 1 – Data-Driven Circular Economy Basics

Understanding circular economy principles and how data enables social impact and circular strategies.

Week 2 – Circular Data Flows

Mapping and integrating material, environmental, and social data to support transparency and decision-making.

Week 3 – Sharing Platforms and Community Reuse

Exploring data-driven sharing models such as libraries of things and community reuse initiatives.

Week 4 – Data-Driven Social Economy Initiatives

Exploring smart city concepts through architecture and contemporary urban planning.

Week 5 – Circularity in Social Organisations

Applying circular economy principles in cooperatives, social enterprises, and community-based organisations.

Week 6 – Data Ethics and Governance

Understanding ethical, legal, and governance challenges in socially oriented circular data systems.

Week 7 – Social Impact Assessment

Measuring and reporting social impact in data-driven circular economy models.

Week 8 – Barriers to Data-Driven Circularity

Analysing regulatory, organisational, and privacy challenges affecting social circular initiatives.

Week 9 – Policy and Data Infrastructures

Exploring policy frameworks and data infrastructures that enable social circular economies.

Week 10 – Inclusion and Community Empowerment

Understanding how EU strategies support smart and circular regional development.

Week 11 – Indicators for Social Circularity

Developing metrics and indicators to measure social value in circular economy transitions.

Week 12 – Organisational Culture and Circular Change

Understanding how organisational culture enables or limits circular economy adoption.

Week 13 – Future of Social Circular Economy

Exploring emerging trends in data, inclusion, and next-generation social circular models.


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Skills You Will Gain

Research & Critical Analysis

  • Evaluating multidisciplinary research and industry presentations
  • Synthesising insights from digital technologies and sustainability science
  • Identifying emerging trends in circular innovation ecosystems

Communication & Knowledge Sharing

  • Communicating research insights clearly in written and oral formats
  • Presenting analytical findings to diverse professional audiences
  • Participating in international academic and industry discussions

Global Collaboration & Lifelong Learning

  • Engaging with international experts and interdisciplinary communities
  • Reflecting on global perspectives in sustainable innovation
  • Developing independent research and professional learning skills

Continue Your Journey