MULTIFILE
The explicit attention to sustainability and related concepts within the context of housing and urban development dates back to the 70’s of the last century. Since then, a lot of efforts have been done to define the concept and to bring it into practice. This involved efforts from national to local governments, to create the proper policy conditions, from commercial partners like developers, constructors, and housing corporations, to realise sustainable residential areas and houses, and from other partners like NGO’s and research institutes. And of course it involved efforts from residents, who lived in the (more) sustainable houses, experienced some benefits but sometimes also were confronted with disadvantages of their (more) sustainable houses. Certain successes were achieved, but the complete housing sector at this moment is still far from ‘sustainable’. The need for further improvement is getting bigger, both for environmental reasons and for reasons related to other dimensions of sustainable development, like for example social and economic quality.
MULTIFILE
Entrepreneurship is a viable income-generating option for refugee women. Entrepreneurial work can bypass limits placed on work permits, obstacles in the formal economy, and familial responsibilities. Critical to success is access to and attainment of social capital, but women entrepreneurs are frequently hampered by gender and cultural biases. Due to such limitations, they face difficultly in attaining bridging and linking capitals, which are necessary for gaining access to support networks and target markets within a host society. Non-governmental organisations (NGOs) play a crucial role in enabling refugees to access support and social capital. NGOs become an instrumental component for women refugees to develop business plans, navigate host country laws and practices, access resources for start-ups, and gain mentorship. However, the types of support available are often NGO-specific, which restricts their applicability. Despite intermittent, beneficial encounters encouraged by NGOs, the long-term impact is questionable due to the variability and inconsistency of service offerings.
De alliantie tussen professionals en cliënten in de jeugdzorg is een krachtige algemeen werkzame factor in de hulp aan kinderen en ouders met opvoedproblemen. De alliantie tussen professionals en cliënten bestaat uit de persoonlijke klik, overeenstemming over de doelen waaraan gewerkt wordt en de wijze waarop er samengewerkt wordt aan die doelen. Een positieve alliantie in een vroeg stadium van het hulpverleningstraject is een betrouwbare voorspeller van een positieve uitkomst. Het vroegtijdig zicht krijgen op de kwaliteit van de alliantie geeft de mogelijkheid om breuken en deuken in beeld te brengen en vroegtijdig bespreekbaar te maken en te herstellen. Het ritueel om de alliantie bespreekbaar te maken wordt in de praktijk nog weinig gestalte gegeven. Het vergt van professionals een scherp observatievermogen, goede reflectievaardigheden en de nodige creativiteit om het ritueel in het primair proces te passen. Met de te ontwikkelen experimentele leerlijn waar deze aanvraag op ingaat willen werkveldpartners inzetten op het aanleren van deze vaardigheden.
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
Data is het nieuwe goud, en de vraag naar data is nooit zo groot geweest. Zo ook data over de mens en zijn leefomgeving. Maar om voor elke vraag een specifieke sensor te maken is kostbaar. Er moet één sensor komen die al die situaties nauwkeurig kan meten.