Onze postdocs Kevin Pijpers en Samaneh Bagheri gaven op 22 juni 2021 een presentatie in een door het Centre for BOLD Cities georganiseerde webinar. Het programma van dit event vindt u hieronder.
Programme
16:00: Welcome and introduction by dr. Fadi Hirzalla and prof. dr. Liesbet van Zoonen
16:05: "Value creation through Urban Data Platforms" by dr. Samaneh Bagheri
16:35: "Image Recognition, Policy and Society" by dr. Kevin Pijpers
17:00: Closing
Value creation through Urban Data Platforms by dr. Samaneh Bagheri
In the context of smart cities, digital transformation has received increasing attention from practitioners and academics. The data-centric nature of this transformations highlights the essential role of urban data platforms (UDPs) to manage large and heterogeneous urban data sets and to facilitate interaction among data providers and users in a city ecosystem. To realize value creation within city ecosystems through UDPs, a comprehensive understanding of the key UDPs dimensions and their relationship with value creation are required. For this purpose, we first identify key UDP dimensions through a literature review. Second, by exploring and discussing their relationships with an expert panel, we develop a framework for understanding value creation through UDPs. The proposed framework can help city policymakers and business developers for better decision making and value creation in the context of UDPs.
Image Recognition, Policy and Society by dr. Kevin Pijpers
Technology and data have become embedded in public organizations and have shaped the way business processes function and the effects they have. However, the way technology, data and information do so remain a black box in some respects. In the proposed research we aim to open this black box and give meaning to the way technology deals with problems, opportunities and alternatives in the public policy making process. We aim to do so with the municipality of Rotterdam. In our research case we find that the municipality is exploring the issue of image recognition as a solution for a large number of policy problems. At this point it is not clear for which purposes image recognition can be used and what the potential challenges or opportunities are per possible solution. The focus of the research will to be to explore these challenges and opportunities within, and possibly outside, of several departments within the municipality. Conceptually we find that image recognition is a solution, however, the problems are not defined yet, just as the opportunity stream. The goal of the research is to see how, when and under which conditions the streams can meet, providing a window of opportunity for public policy making using image recognition.