De Hogeschool van Amsterdam heeft de effectiviteit van de projecten van Delta Lloyd Foundation onderzocht. Deze projecten zijn opgezet om de financiële zelfredzaamheid en het financiële bewustzijn van mensen te bevorderen.
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The purpose of this paper is to investigate how strategic vision of change is communicated by managers and how this affects the discourse behavior of service engineers. The case study describes the consequence of variations in professional discourse of managers and employees (mostly engineers) working together in a public housing foundation.
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Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also concerning added business value, implementation risks and governance. They express a need for guidance to answer these questions in a suitable and responsible way. We intend to offer such guidance by the question matrix presented in this paper. The question matrix is adjusted from the model card, to match well with development of AIapplications rather than AI-models. First pilots with the question matrix revealed that it elicited discussions among developers and helped developers explicate their choices and intentions during development.
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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.
Worldwide, coral reefs are rapidly declining due to increased sea water temperatures and other environmental stresses (Figure 1). To counter the extinction of major coral reef building species on the island of Bonaire, the non-profit organization Reef Renewal Foundation Bonaire is restoring degraded reef sites using corals that are grown in local nurseries. In these nurseries, corals are propagated on artificial trees using fragmentation. After 6-8 months of growth in the nursery, the corals are transplanted to degraded reef sites around the island. Over the years more than 21.000 corals have been outplanted to reef restoration sites in this way. These corals show high survivorship under natural reef conditions but remain under threat by environmental disturbances, such as increased water temperatures, diseases, and competition with macroalgae. A promising intervention to increase reef persistence and resilience is to manipulate the coral-associated microbiome. At present, the composition of the microbiome in nursery-reared and outplanted corals on Bonaire is unknown. The aim of the current project is to identify and isolate naturally occurring beneficial bacteria that may stimulate the resilience of these corals. Our key objectives are: 1) to assess the presence of functionally beneficial bacteria in corals in nursery and restoration sites on Bonaire using metagenomic screening. 2) to design culture strategies to isolate these functionally beneficial bacteria. In the future, a selection of these beneficial bacteria can be applied to the corals to increase their resilience against environmental disturbances.
De koraalriffen van de Caribisch Nederlandse eilanden St. Eustatius en Saba zijn van groot ecologisch en economisch belang. Door een opeenstapeling van bedreigingen is de hoeveelheid driedimensionale structuur op het rif afgenomen en zijn herbivore sleutelsoorten verdwenen. Het rif wordt overwoekerd met algen, die nieuwe koraalaanwas bemoeilijken. Lokale natuurbeheerorganisaties STENAPA en SCF willen artificiële riffen inzetten, om het ecosysteem door middel van “Building with Nature” te herstellen. Artificiële riffen worden wereldwijd in toenemende mate gebruikt, maar de doeltreffendheid hangt in sterke mate af van hoe er rekening is gehouden met de lokale omstandigheden en doelstellingen. Als de riffen goed functioneren kunnen sleutelsoorten herstellen en kan koraal zich weer vestigen. De natuurbeheerorganisaties willen weten hoe artificiële riffen optimaal bij kunnen dragen aan het herstel van het koraalrif ecosysteem bij St. Eustatius en op de Saba bank. Van Hall Larenstein, STENAPA, SCF, IMARES, CNSI en Golden Rock Dive Centre werken samen in het AROSSTA (Artificial Reefs on Saba and Statia) project om deze vraag te beantwoorden. Hiervoor worden verschillende soorten artificiële riffen gebouwd van lokaal natuursteen en van veelgebruikte “reef balls”. De functionaliteit van de verschillende soorten artificiële riffen wordt bepaald door gedurende 1,5 jaar de vestiging van zee-egels, vissen en koraal te onderzoeken. Na afloop van dit project zal duidelijk zijn welk type artificieel rif het meest geschikt is voor beide onderzoeklocaties. Daarnaast is bekend wat het effect is van het gebruikte materiaal en het aanbrengen van extra schuilplaatsen op de functie van artificiële riffen. Tenslotte wordt inzicht gegeven in hoeverre artificiële riffen een bijdrage leveren aan het herstel van aangrenzende gebieden. Omdat het onderzoek uitgevoerd wordt op twee locaties, met contrasterende omstandigheden, zullen de resultaten van regionaal belang zijn om bestaande en toekomstige artificiële riffen optimaal te laten functioneren.
