The relevance of citizen participation in regeneration projects, particularly in shrinking cities, is widely acknowledged, and this topic has received a great deal of policy and academic attention. Although the many advantages of citizen participation in regeneration projects have been identified, its current forms have also received considerable criticism. In short, this criticism boils down to the conclusion that the ideal of citizen participation is not put into practice. This paper considers why this is the case, asking whether current participatory practices enable citizens to exercise influence as political actors in urban regeneration projects. In this paper, we examine this question based on Mouffe’s conception of the political, coupled with findings from our empirical research conducted in Heerlen North, The Netherlands. We conducted qualitative research on urban regeneration in the shrinking old industrial city of Heerlen. The findings reveal two distinct perspectives on citizen participation. Professionals see the existing context of citizen participation as a reasonable and practical but, in some respects, insufficient practice. Citizens’ views on participation are organized around feelings of anger, shame, and fear and are grounded in experiences of a lack of recognition. These experiences limit citizens’ abilities to exert true influence on regeneration projects. We conclude that efforts to regenerate shrinking cities should strive to recognize these experiences so as to create conditions that generate respect and esteem and, as such, enable urban social justice.
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Reputation has often been proposed as the central mechanism that creates trust in the sharing economy. However, some sharing platforms that focus primarily on social rather than economically driven exchanges have managed to facilitate exchanges between users without the use of a reputation system. This could indicate that socially driven exchanges are in less need of reputation systems and that having sufficient trust is less problematic. We examine the effect of seller reputation on sales and price as proxies for trust, using a large dataset from a Dutch meal-sharing platform. This platform aims to stimulate social interactions between people via meal sharing. Multilevel regression analyses were used to test the association of reputation with trust. Our main empirical results are that reputation affects both sales and price positively, consistent with the existing reputation literature. We also found evidence of the presence of an information effect, i.e., the influence of reputation on sharing decreases when additional profile information is provided (e.g., a profile photo, a product description). Our results thus confirm the effectiveness of reputation in more socially driven exchanges also. Consequently, platform owners are advised to use reputation on their platform to increase sharing between its users.
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The field of data science and artificial intelligence (AI) is growing at an unprecedented rate. Manual tasks that for thousands of years could only be performed by humans are increasingly being taken over by intelligent machines. But, more importantly, tasks that could never be performed manually by humans, such as analysing big data, can now be automated while generating valuable knowledge for humankind
