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Bio-composieten voor bouwkundige en civiele toepassingen

Co-Creating Sustainable Hospitality Trainings Through Immersive Technologies

This project addresses the critical issue of staff shortages and training inefficiencies in the hospitality industry, particularly focusing on the hotel sector. It connects with the urgent need for innovative, and effective training solutions to equip (inexperienced) staff with hospitality skills, thereby improving service quality and sustainable career prospects in the hotel industry. The project develops and tests immersive technologies (augmented and virtual reality, AR/VR) tailored to meet specific training needs of hotels. Traditional training methods such as personal trainings, seminars, and written manuals are proving inadequate in terms of learning effectiveness and job readiness, leading to high working pressure and poor staff well-being. This project aims to break this cycle by co-creating immersive training methods that promise to be more engaging and effective. Hotelschool The Hague has initiated steps in this direction by exploring AR and VR technologies for hotel staff training. This project builds on these efforts, aiming to develop accessible, immersive training tools specifically designed for the hotel sector. Specifically, this project aims to explore the effectiveness of these immersive trainings, an aspect largely overlooked in the rapid development of immersive technology solutions. The central research question is: How do immersive AR and VR training methods impact job readiness and learning effectiveness in the hotel sector? The one-year KIEM project period involves co-creating, implementing, and evaluating immersive training in collaboration with Hotelschool The Hague and Hyatt Andaz Amsterdam Prinsengracht Hotel in real-life settings. The partnership with Warp Industries, a leader in immersive technology, is crucial for the project’s success. Our findings will be co-created and multiplied through relevant sector associations such as House of Hospitality. This project aligns with the MV’s Impact Level 1: Transitions by promoting innovative training strategies that can lead to a fundamental shift in the hospitality industry, thereby enhancing social earning capacities.

Crossing borders at the Grensmaas

The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.

CULTURWB : Strengthening Capacities for Tourism Changes

The Academy for Leisure & Events has always been one of the frontrunners when it comes to the development, design and implementation of cultural tourism and creative industry business models as well as lifelong learning programmes.These programmes are attended by a variety of leisure and tourism professionals, including public authorities in leisure, culture and nature fields.The CULTURWB project addresses the need for strengthening the development of the cultural tourism industry.The experts from BUas together with the other project partners have utilised diverse research methodologies (marketing and branding, strategy business planning, digital tourism, sustainable development, strategy and action plan implementation, etc.) to develop and pilot a toolkit for Lifelong Learning courses in the field of cultural tourism and heritage. They have also designed and implemented a master’s programme in the WB countries and created an online platform for communication between stakeholders, industry leaders, managers, workforce, and academia.PartnersHochschule Heibronn, FH Joanneum Gesellschaft, World University Service - Österreichisches Komitee (WUS Austria), Dzemal Bijedic University of Mostar (UNMO), University of East Sarajevo (UES), The University of Banja Luka (UBL), University of NIS (UNI), University of Montenegro (UoM), Sarajevo Meeting of Cultures (SMOC), rovincial Institute for the Protection of Cultural Monuments (PZZZSK), Tourism Organisation of Kotor Municipality (TO Kotor)

CureQ Predict, Delay & Cure polyglutamine(Q) caused neurodegeneration

Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).

Developing a Hospitality Social Sustainability Accreditation Framework

The Dutch hospitality industry, reflecting the wider Dutch society, is increasingly facing social sustainability challenges for a greying population, such as increasing burnout, lifelong learning, and inclusion for those distanced from the job market. Yet, while the past decades have seen notable progress regarding environmental sustainability and good governance, more attention should be paid to social sustainability. This concern is reflected by the top-sector healthcare struggles caused by mounting social welfare pressure, leading to calls by the Dutch government for organizational improvement in social earning capacity. Furthermore, the upcoming EU legislation on CSRD requires greater transparency regarding financial and non-financial reporting this year. Yet, while the existing sustainability accreditation frameworks offer guidance on environmental sustainability and good governance reporting, there must be more guidance on auditing social sustainability. The hospitality industry, as a prominent employer in the Netherlands, thus has a societal and legislative urgency to transition its social earning capacity. Dormben Hotel The Hague OpCo BV (Dormben) has thus sought support in transitioning its social sustainability standards to meet this call. Hotelschool, the Hague leads the consortium, including Green Key Nederland and Dormben, by employing participatory design to present a social sustainability accreditation framework. Initially, Dr. David Brannon and Dr. Melinda Ratkai from Hotelschool The Hague will draft a social sustainability accreditation framework informed by EFRAG. Subsequently, Erik van Wijk, from Green Key Nederland, the hospitality benchmark for sustainability accreditation, and Sander de Jong, from Dormben, will pilot the framework through four participatory workshops involving hospitality operators. Later, during a cross-industry conference, Dr. David Brannon and Dr. Melinda Ratkai will disseminate a social sustainability toolkit across their academic and industry networks. Finally, conference and workshop participants will be invited to form a social sustainability learning community, discussing their social earning capacity based on the revised sustainability accreditation.