The Mekong Delta Digital Living Lab
Design, development, and framework for continued research and knowledge sharing to positively influence decision-making in the Mekong Delta
G.A.H. Huijsmans (TU Delft - Industrial Design Engineering)
M.V. Ketting (TU Delft - Technology, Policy and Management)
M.B. Krap (TU Delft - Industrial Design Engineering)
F. Michielsen (TU Delft - Civil Engineering & Geosciences)
S. Roozendaal (TU Delft - Civil Engineering & Geosciences)
M.J.F. van der Spek (TU Delft - Technology, Policy and Management)
A.J.M. van Leeuwen – Mentor (TU Delft - Perceptual Intelligence)
D.S. van Maren – Mentor (TU Delft - Environmental Fluid Mechanics)
E. Minkman – Mentor (TU Delft - Organisation & Governance)
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Abstract
The Mekong Delta is a densely populated and economically vital region in Vietnam. However, it faces severe coastal challenges threatening the livelihoods of the 20 million people living in the area. Mangrove deforestation, land subsidence, and sea level rise cause erosion and coastal retreat. To tackle these challenges, the Living Lab project combines long-term research, stakeholder engagement, and nature-based solutions to promote sustainable coastal management. However, research outcomes often remain fragmented and informing relevant stakeholders often proves difficult. This results in limited follow-up action taken.
This report introduces the Digital Living Lab, an online environment that makes complex research understandable and actionable for policymakers. It provides a theoretical background and translates technical information into clear insights that support decision-makers in choosing and implementing effective interventions. The platform follows a location-based storyline: content is organized per site and links drivers, processes, stakeholders, and interventions, emphasizing site-specific solutions and helping decision-makers weigh intervention options and long-term effects. The platform also features interactive maps displaying mangrove coverage over time, playing well into the visual and evidence-based orientation of decision-makers....