Enterprise AI Analysis
Understanding the Co-Design of Data-Driven Technologies in Urban Living Labs
This PhD project investigates the co-design of data-driven technologies (like AI, digital twins) in Urban Living Labs (ULLs) to drive long-term institutional and organizational change. It addresses how these technologies, despite their complexity and contested governance, can be collaboratively designed by diverse stakeholders (municipalities, private sector, researchers, citizens) in ULLs. The research will use ethnographic methods and case studies in the Dutch infrastructure sector to understand current practices, identify pain points, and develop interventions to enhance the co-design process and ensure lasting impact beyond project funding.
Executive Impact Summary
Our research highlights key areas where co-design strategies can significantly enhance the adoption and long-term impact of data-driven urban technologies.
0
ULLs Explored
0
Stakeholder Groups
0
Years of Research
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Co-Design Principles
Urban Living Labs (ULLs)
Long-Term Impact & Challenges
This section delves into the fundamental principles of co-design, emphasizing active stakeholder involvement throughout the design process. It moves beyond traditional user-centered design to a collaborative 'designing with' approach, fostering creation of sociotechnical systems through public participation frameworks. The challenge lies in applying this to complex, data-driven technologies where non-experts might struggle with understanding or governance.
Designing With
Shift from 'designing for' to 'designing with' users, actively engaging all stakeholders in technology co-creation.
| Aspect | Co-Design | Traditional UCD |
|---|---|---|
| Involvement | Active, throughout all phases | User testing/feedback at later stages |
| Stakeholder Role | Co-creators, partners | Informants, subjects |
| Technology Type | Sociotechnical, complex | User-facing applications |
| Goal | Systemic change, ownership | Usability, user satisfaction |
ULLs are real-world innovation environments fostering multi-stakeholder collaboration (Quadruple Helix: citizens, government, industry, academia) for urban challenges. They enable co-design and in situ experimentation but often face challenges with long-term institutional embedding and systemic change beyond project funding. The project examines different typologies of LLs, from instrumented places to innovation spaces, to understand their application in co-designing data-driven technologies.
ULLs Stakeholder Collaboration Flow
Citizens
→
Government
→
Industry
→
Academia
→
Co-Develop Solutions
→
Test In-Situ
→
Refine & Innovate
Dutch Infrastructure Sector ULLs
The research focuses on urban living labs within the Dutch infrastructure sector, acting as key case studies. These labs bring together public and private partners to co-design and test practical innovations in sustainable infrastructure. This provides a rich empirical foundation to observe how data-driven technologies are co-designed in real-world, complex contexts and how they aim to drive long-term impact.
The research aims to understand how co-design in ULLs can drive long-term institutional and organizational change, not just generate prototypes. Challenges include the project-bound nature of many ULLs, limited systemic change, and the temporal boundedness of a PhD project. The study will address these by examining practices for post-project handover and institutional embedding, and by designing interventions to support sustained impact.
4 Years
Duration of PhD project, necessitating careful consideration of long-term impact observation.
| Aspect | Short-Term Focus | Long-Term Impact Goal |
|---|---|---|
| Deliverables | Prototypes, localized innovations | Institutional/organizational change |
| Funding | Project-bound | Sustained integration |
| Evaluation | Immediate success metrics | Systemic transformation, policy influence |
| Scope | Specific project problems | Broader urban governance |
Calculate Your Potential ROI
Our analysis suggests that effective co-design of data-driven technologies in ULLs can significantly reduce inefficiencies in urban infrastructure projects. By streamlining collaboration and improving the relevance of adopted solutions, organizations can reclaim valuable hours and reduce project costs.
Annual Savings from Improved Co-Design
$0
Hours Reclaimed Annually
0
Our Implementation Roadmap
Based on this research, our methodology outlines a phased approach to integrate co-design principles for data-driven technologies in urban contexts.
01. Conceptual Foundations (RQ1)
Establish theoretical grounding through systematic reviews, case study analysis, and interviews with key stakeholders to clarify concepts and identify research gaps.
02. Ethnography in Dutch ULLs (RQ2 & RQ3)
Conduct ethnographic studies in selected Dutch urban living labs to document co-design practices of data-driven technologies, making dynamics visible and intelligible.
03. Situated Interventions (RQ4)
Develop and test small-scale design interventions (e.g., training, facilitation tools) in collaboration with stakeholders to address pain points and enhance co-design.
04. Long-Term Impact Analysis
Examine conditions for post-project handover and institutional embedding, drawing insights from both current ethnography and past ULL projects.
Ready to Transform Your Urban Innovation Strategy?
Our experts can help you implement effective co-design frameworks for data-driven technologies. Schedule a consultation to explore how we can tailor these insights to your specific challenges and drive lasting change.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat