In the relentless pursuit of urban sustainability, cities worldwide grapple with the complexities of governance, citizen involvement, and innovation & value creation for quality of life. Despite substantial efforts to embrace the 'smart city' concept, the path to sustainable urban development remains fraught with uncertainties.
The CAIR Institute stands at the forefront of this transformative journey, introducing a groundbreaking approach through Urban Experimentation Platforms. This initiative is not merely a project but a paradigm shift, leveraging collective intelligence and artificial intelligence to forge resilient urban ecosystems.
At the heart of our endeavor is the Urban Experimentation Platform, a digital nexus designed to harness the collective intelligence of urban innovation ecosystems. By integrating AI-driven digital tools, we aim to illuminate the dynamics of urban ecosystems, streamline governance processes, and catalyze transformative actions towards sustainability.
1. Understanding Urban Dynamics: Navigating the intricate web of urban ecosystem governance and leveraging collective intelligence to inform transformative decisions.
2. Inclusive Urban Experimentation: Fostering a unified approach to urban governance, enabling comprehensive stakeholder integration in the experimentation process.
3. AI-Enhanced Decision-Making: Empowering local and regional authorities with AI-based digital tools to refine governance and policy-making, ensuring smarter, more informed decisions.
1. Evaluating and Enhancing Municipal Strategies: Through a collective intelligence lens, we scrutinize and refine city municipalities' strategies and policies, aiming for a marked improvement in urban life and a steadfast march towards sustainability.
2. Empowering Urban Ecosystems: We devise processes that allow urban ecosystems to leverage collective intelligence in their development projects, thereby enhancing innovation and sustainability.
3. Developing a Cutting-Edge Digital Platform: Our platform concept that involves natural language processing and knowledge graphs, stands as a beacon for implementing urban sustainability projects, aiding policy decisions, and fostering stakeholder integration.
We seek collaboration with cities or groups of cities, ideally with populations exceeding 100,000. Our goal is to utilize governmental decisions and processes as a lens to augment collective intelligence, and to craft an AI-based natural language model tailored to the urban context. Nonetheless, we are eager to engage with cities of all sizes and from all corners of the globe, united in our commitment to sustainable urban development.
The CAIR Institute invites urban developers, policymakers, and innovative minds to explore the potential of the Urban Experimentation Platform. Together, we can navigate the complexities of urban governance, leveraging collective intelligence and AI to lay the foundations for sustainable, resilient urban ecosystems. Connect with us to embark on this transformative journey, where every city's potential is realized, and every community thrives.
The Collective and Artificial Intelligence Research (CAIR) Institute is a beacon of innovation, a virtual consortium of researchers dedicated to the exploration of collective intelligence and AI's potential. Our mission transcends academic inquiry, aiming to equip teams, organizations and communities with the tools to foster innovation, adaptation, and transformation.
Experimentation Platforms as Bridges to Urban Sustainability
In this article, we develop the concept of Urban Experimentation Platforms and showcase some successful projects.
Read the article here:
Rehm, S.-V., McLoughlin, S., & Maccani, G. (2021). Experimentation Platforms as Bridges to Urban Sustainability. Smart Cities, 4(2), 569-587. Open Access, DOI: 10.3390/smartcities4020030
Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study
In this case report, we describe the benefits of analyzing city ecosystems using the example of urban mobility.
Read the article here:
Faber, A.; Rehm, S.-V.; Hernandez-Mendez, A. & Matthes, F. (2018). Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study, Information, 9(11), 270. Open Access, DOI: 10.3390/info9110270
Coping with the Dynamics of Urban Sustainability: Urban Experimentation Platforms as Tools for Adaptive Policy Making
In this paper, we explain how platforms help introducing adaptive policy-making.
Read the article here:
Rehm, S.-V., McLoughlin, S., & Donnellan, B. (2022). Coping with the Dynamics of Urban Sustainability: Urban Experimentation Platforms as Tools for Adaptive Policy Making. Proceedings of the European Conference on Information Systems (ECIS 2022), Research-in-Progress Papers, 61, [Link]
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