Abstract
Living labs have emerged as a long-term, collaborative approach to addressing complex societal challenges, such as sustainable land and water management and climate change adaption. While these transdisciplinary environments foster continuous knowledge exchange and interactions among actors from diverse disciplines and sectors, the role of learning in realizing the impacts of living labs on participating actors and broader society is often underexplored. This paper aims to identify and analyze learning that occurs within a sequence of co-creative activities and their resulting outcomes, using the concept of ‘learning pathways’. The ‘living lab learning framework’ provides a systematic approach to organizing and categorizing living lab activities, enabling to infer learning pathways. An ex-post analysis of an empirical case study on a climate adaptation project, KLIMAP, resulted in seven distinct learning pathways: 1) harnessing collective integrated knowledge, 2) building collaborative networks, 3) enhancing stakeholder capacity, 4) adapting and contextualizing knowledge, 5) diffusing knowledge, 6) facilitating co-creation, and 7) reflecting on learning. These pathways were developed by examining the types of learning activities, their processes, and the entities involved, linking them to the outcomes achieved. The findings highlight that learning pathways contribute to identifying outcomes and broader impacts of living labs.
| Original language | English |
|---|---|
| Article number | 100277 |
| Journal | Current Research in Environmental Sustainability |
| Volume | 9 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Co-creative activities
- Co-creative environment
- KLIMAP
- Learning framework
- Learning pathways
Thematic collaboration
- Water and Delta Network
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Supplementary Material for Paper: Harvesting living labs outcomes through learning pathways
Bhatta, A. (Creator), Vreugdenhil, H. S. I. (Creator) & Slinger, J. H. (Creator), TU Delft - 4TU.ResearchData, 21 Nov 2025
DOI: 10.4121/A0F0ACAD-EECB-4D0A-BC3D-4CAD7CF0B36E.V1
Dataset/Software: Dataset
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