The AI in the City symposium emerged as an opportunity to connect people, organizations, and resources in the networks we built over the last decade of work on research and advocacy in tech policy. Sharing non-Western and Western perspectives, the participants questioned, challenged, and envisioned ways public trust and meaningful civic engagement can flourish and persist as data and AI become increasingly pervasive in our lives. The day brought together a group of multidisciplinary scholars, activists, and practitioners working on a diverse range of initiatives to map strategies going forward.
The Self-Assessment Tool for Sustainable Urban Development strategies (SAT4SUD) is designed for Local Authorities and national and regional Managing Authorities of the EU Cohesion Policy, in charge of building or updating sustainable urban development strategies. The tool focuses on promoting self-assessment as an important learning practice to critically reflect on the strategy, recognise strengths and identify opportunities for improvement.
Urban vitality and social cohesion both provide multiple benefits in cities. While it has been argued that urban vitality – the liveliness of cities – may strengthen social cohesion, this has not been sufficiently examined by empirical research. This paper presents and tests a model in which urban vitality mediates the relationship between built environment characteristics and neighbourhood social cohesion, using survey and geospatial data from the Oslo metropolitan area.
This paper presents a study of the Swedish city of Örebro focusing on local actor’s interaction within DRR (disaster risk reduction) regarding climate change risks with the explicit aim of creating resilience. The perspective is that of leaders of this work in local government and civil society organizations and the method used is document studies and interviews aiming at uncovering the attitudes towards the utility and challenges of involving the public particularly about groups that are considered especially vulnerable.
