Urban Systems & Smart Cities
Applying Inference Dynamics to Urban Governance
Urban development is shaped by a dense interplay of stakeholders, policies, infrastructures, and societal expectations.
Traditional approaches often struggle to integrate these perspectives into coherent strategies.
We apply Inference Dynamics to urban systems to make these complexities explicit and actionable.
Focus
- Governance processes across municipal and regional levels
- Citizen participation and stakeholder integration
- Sustainability transitions and infrastructure development
Our Approach
Using Stratify, we:
- analyze stakeholder perspectives and policy narratives
- model interactions and tensions within urban systems
- identify leverage points for intervention
What This Enables
- Better-informed urban policy decisions
- Increased transparency in governance processes
- Structured integration of diverse stakeholder perspectives
- More robust and adaptive urban strategies
Example Direction: Urban Experimentation Platforms
We explore the concept of Urban Experimentation Platforms—digital infrastructures that support:
- continuous learning in cities
- coordinated experimentation
- AI-supported policy design
Partnership
We work with:
- cities and metropolitan regions
- public agencies
- urban innovation networks
Invitation
We invite cities and urban stakeholders to collaborate in developing new approaches to governance and sustainability based on collective intelligence and AI.
Read About Our Research
Adaptive Policy Making for Urban Sustainability
Rehm, S.-V., McLoughlin, S., & Donnellan, B. (2022). Coping with the dynamics of urban sustainability: Urban experimentation platforms as tools for adaptive policy making. In Proceedings of the European Conference on Information Systems (ECIS 2022). Research-in-Progress Papers (61). https://aisel.aisnet.org/ecis2022_rip/61/
Urban Experimentation Platforms
Rehm, S.-V., McLoughlin, S., & Maccani, G. (2021). Experimentation platforms as bridges to urban sustainability. Smart Cities, 4(2), 569–587. https://doi.org/10.3390/smartcities4020030
Modeling & Visualizing Business Ecosystems
Faber, A., Hernandez-Mendez, A., Rehm, S.-V., & Matthes, F. (2020). Collaborative modelling and visualization of business ecosystems: Insights from two action design research case studies, Australasian Journal of Information Systems, 24.
https://doi.org/10.3127/ajis.v24i0.2229
Understanding Business Ecosystems
Faber, A., Riemhofer, M., Rehm, S.-V., Bondel, G., & Matthes, F. (2019). A systematic mapping study on business ecosystem types. In Proceedings of the 25th Americas Conference on Information Systems (AMCIS 2019). Minitrack: Business Models for the Digital Economy. Cancun, Mexico, 15–17 August 2019 (2).
https://aisel.aisnet.org/amcis2019/adv_info_systems_research/adv_info_systems_research/2/
🎧 https://ais-insights.ai/insights/804