Across European cities local entrepreneurs are joining forces in new ways, forming collectives to stimulate business growth and innovation and to create a more attractive business environment. The value of such collectives is increasingly recognized by local governments and policy measures to stimulate these initiatives are being developed. Amsterdam hosts different collaborative initiatives, including 39 business improvement districts (BIDs).The Knowledge Mile is such a collective in which shopkeepers, other local SMEs, residents work together to collectively improve a large retail area. The city of Amsterdam is also a stakeholder. Government can fill an important role in enabling the creation of collective resource management in urban settings. However, if effective regulation is missing, citizens and governing bodies have to look for incentives to find new means of addressing governance. As such, the potential for collective management of urban commons may be greater than realized so far, as there is still a lack of knowledge in this area. In this paper, we aim to bridge this gap. By means of an embedded case study approach, we analyze the interaction between the stakeholders in their development of a green zone, the Knowledge Mile Park, in the Wibautstraat. In the coming years, roofs, facades and ground level will be changed through a collaboration of residents, entrepreneurs, researchers, civil servants and students in a metropolitan Living Lab. In this Living Lab, solutions for a healthy and social environment, climate resistance and biodiversity are jointly developed, tested and shown. In our study, we will analyze the role of the governing bodies in such initiatives, and make recommendations how collectives can become more mainstream with new kinds of institutions, without an undue burden on the community.
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Anxiety among pregnant women can significantly impact their overall well-being. However, the development of data-driven HCI interventions for this demographic is often hindered by data scarcity and collection challenges. In this study, we leverage the Empatica E4 wristband to gather physiological data from pregnant women in both resting and relaxed states. Additionally, we collect subjective reports on their anxiety levels. We integrate features from signals including Blood Volume Pulse (BVP), Skin Temperature (SKT), and Inter-Beat Interval (IBI). Employing a Support Vector Machine (SVM) algorithm, we construct a model capable of evaluating anxiety levels in pregnant women. Our model attains an emotion recognition accuracy of 69.3%, marking achievements in HCI technology tailored for this specific user group. Furthermore, we introduce conceptual ideas for biofeedback on maternal emotions and its interactive mechanism, shedding light on improved monitoring and timely intervention strategies to enhance the emotional health of pregnant women.
The Design-to-Robotic-Production and -Assembly (D2RP&A) process developed at Delft University of Technology (DUT) has been scaled up to building size by prototyping of-site a 3.30 m high fragment of a larger spaceframe structure The fragment consists of wooden linear elements connected to a polymer node printed at 3D Robot Printing and panels robotically milled at Amsterdam University of Applied Science (AUAS). It has been evaluated for suitability for assembly on-site without temporary support while relying on human-robot collaboration. The constructed architectural hybrid structure is proof of concept for an on- and off-site D2RP&A approach that is envisioned to be implemented using a range of robots able to possibly address all phases of construction in the future.
