ETH DRRS with the MAS ETH in Regenerative Systems is a hybrid learning ecosystem and transformative executive program that unites science, design, art, and inner development to cultivate regenerative practitioners. Rooted in ETH Zurich’s Systemic Design Labs and the MonViso Institute, it combines MOOCs, embodied field design trips, and personal Quests to build the capacity to navigate complexity, befriend uncertainty, and co-create conditions conducive to life across scales of practice and governance.
Implementation of the Project/Course
The MAS ETH in Regenerative Systems (DRRS) is a hybrid learning ecosystem combining virtual, physical, and community-driven engagements. Its modes—online, in-person, and hybrid—interweave continuously, spurring local learning circles in the >120 countries where learners live and act. Learning thus becomes situated, place-based, and globally connected.
MOOCs and asynchronous materials provide the backbone for self-paced learning. A course- initializing field design trip anchors embodied practice in real-world labs with long-term transdisciplinary weaving partnerships in their bioregion. Weekly virtual evening sessions combine expert inputs, collective reflection, and visual dialogue using an online whiteboard for documenting, mapping, and visualizing complexity.
Active learning dominates: students pursue a “Quest”—an evolving design inquiry that threads through all modules and culminates in the MAS thesis. Passive inputs are made active through co-sensemaking, visual mapping, and dialogue. An online community on Mighty Networks (≈ 2700 members) connects all cohorts—MOOC, CAS, and MAS—into one learning system where participants share projects, events, and research. The boundaries between active teaching and passive support dissolve into a fluid co-learning continuum.
Feedback unfolds continuously—through mentoring, community dialogues, personal exchanges (e-mail, chat, field conversations), and structured peer review. Experiential pedagogy builds trust, enabling authentic feedback in the field and beyond. DRRS explicitly teaches meta-reflection: learners zoom out to observe their own learning processes and roles within a complex system. Evaluation therefore, shifts from “Did the course meet your expectations?” to “How did you contribute to a thriving, co-designed learning experience?” Assessment integrates doing and reflection, balancing structure with emergence.
Synchronous engagement occurs in twice-weekly sessions and field trips. Asynchronous learning flows through virtual white boards, MOOCs, and the online community, which host continuous deposits of ideas, reflections, and co-creations. Community reading circles and gatherings extend learning beyond formal modules.
Personal mentoring, tutor guidance, peer-to-peer support, and regional co-learning clusters nurture resilience and belonging. Teachers and students continuously switch roles—teaching, learning, and co-creating in an equitable learning sphere.
Operating within such a fluid system requires balancing structure and flexibility, and fostering coherence across time zones and disciplines. The key lessons: feedback must be continuous, trust foundational, and assessment an invitation to co-design. Through hybrid, embodied, and community-rooted didactics, DRRS models the regenerative systems it teaches—learning about complexity by learning within it.
Motivation, Project Mission, Vision Statement
Amid accelerating global crises, traditional sustainability and linear problem-solving are no longer sufficient. The roots of DRRS stretch back over two decades of field-based teaching, sustainability leadership, and experiential team training—where comfort-zone didactics, flow mechanisms, and adaptive learning were first developed and refined. These evolved into a systemic pedagogy that embraces complexity not as a problem to control, but as a field of emergence. DRRS responds to a persistent gap in academia: we teach about systems, yet rarely learn from within them—how to engage uncertainty, reflexivity, and complexity as creative forces.
DRRS unites scientific rigor with embodied practice. Through a scaffolded learning journey (MOOC → CAS → MAS), it cultivates students who integrate analytical precision with lived experience—learning how to know what we know, to recognize what we don’t, and to act responsibly within the systems we co-shape.
Beyond a degree, DRRS is an ecosystem for learning, doing, and becoming. It blends the clarity of engineering and science with the openness of design and inner development. Its vision is to regenerate both systems and the worldviews that sustain them—fostering the inner and outer capacities needed to co-design resilient, regenerative futures. Building on this success, DRRS aims to expand into ETH’s consecutive study programs by offering its MOOC series and knowledge base, along with short courses at BSc, MSc, and PhD levels.
Innovative Elements
DRRS innovates by hybridizing science, design, and practice with art, hands-on fieldwork, and inner development. Its multi-modal pedagogy links MOOCs, CAS, and MAS modules into a system that blends academic rigour with embodied learning. Frameworks such as the Systemic Design Wheel of Inquiry, the Circular Cross-Scale Spiral, and the Adaptive Waves of Resilience guide in navigating complexity—learning when (not to) intervene. The Systemic Cycles didactic trains participants to read dynamic patterns through cycles of observation, system sensing, mapping, and reflection. Field-design trips turn observation into co-design; the MOOC-to-MAS pathway builds shared literacy across a globally diverse cohort. A dynamic AI-supported knowledge base enables relational browsing and student-generated insights. DRRS cultivates low-hierarchy teaching where alumni become mentors and diverse ways of knowing are valued equally—balancing high- and low-tech, analysis and sensing, intellect and embodiment.
Effects on Student Learning
The impact on student learning is holistic and transformative. The Quest provides a flexible spine for each learner’s evolving inquiry, while trust-building and diversity create a co-creative, multisensory environment. Academic rigour—through transparent, research-based methods—meets the rigor of regenerative practice and self-reflection: learning to act within, not outside, complex systems. Students cultivate organic emergence—the capacity to befriend uncertainty—supported by an AI-enhanced knowledge base linking teacher content, system insights, and lived experience. Effectiveness builds on 25 years of iterative development, sustained alumni collaboration, and growing participation, with a base of 9 500 MOOC participants from 123 countries. Alumni are re-integrated as mentors and teachers, embodying lifelong learning within the program. The first MAS Quests culminated in a public exhibition at ETH Zurich, evidencing a living culture of embodied practice and regenerative inquiry.
ETH Competence Framework
-
Method-specific
Competencies -
Social
Competencies -
Personal
Competencies
Subject-Specific: Mastery of regenerative systems thinking, systemic design, resilience assessment, transdisciplinarity—applied to real contexts via personal Quests and living systems labs.
Method-Specific: Understanding and navigating the relational value of various types of inquiry, methods, and practices, with a self-reflective implementation of engineering. Capacity to navigate “living questions” through iterative inquiry, participatory modeling, and decision-making under uncertainty.
Social: Transdisciplinary collaboration, co-creation, leadership, and constructive feedback in diverse, intercultural teams.
Personal: Critical thinking, creativity, adaptability, embodied awareness, and inner resilience—enabling learners to act creatively with clarity and confidence amid complexity.
Which Elements of Your Project Would You Recommend to Others?
Key transferable elements of DRRS include its free MOOC gateway as a low-threshold, time-independent entry to complex learning; the hybrid continuum linking online flexibility with embodied field-design trips; and the Systemic Cycles Didactic that teaches system sensing, mapping, and reflection. Together with an AI-supported knowledge base and a living community where alumni return as mentors and teachers, these components create scalable, trust-based, and regenerative learning environments—bridging science, design, and human development.