The target group in the Atlas project consists of people who have no access to higher education or training, because of limitations in their mental capacities (people with intellectual disabilities). These people have considerable problems to find and retain a job because of their lack of social skills. They are prepared for jobs in the open labour market, or in sheltered workshops or day centres. Pupils in Practical Training are a part of this target group. In this article the new concept of competence is introduced. Skills, attitude, knowledge and experience are embedded in the competence.
Despite the efforts of governments and firms, the construction industry is trailing other industries in labour productivity. Construction companies are interested in increasing their labour productivity, particularly when demand grows and construction firms cope with labour shortages. Off-site construction has proved to be a favourable policy to increase labour productivity. However, a complete understanding of the factors affecting construction labour productivity is lacking, and it is unclear which factors are influenced by off-site construction. This study developed a conceptual model describing how 15 factors influence the construction process and make a difference in labour productivity between off-site and on-site construction. The conceptual model shows that all 15 factors affect labour productivity in three ways: through direct effects, indirect effects and causal loops. The model is a starting point for further research to determine the impact of off-site construction on labour productivity.
MULTIFILE
This paper addresses one important mechanism through which the EU tries to improve the operation of its labour markets: the opening up of national borders for free worker movement within the EU. Free worker movement is a fundamental EU right; but EU enlargement begged the question of how and when to allow complete free movement to workers from those new Member States. The EU agreed upon a transitional period of up to 7 years after accession of eight new Middle and Eastern European States (EU-8) on May 1st, 2004. Duringthis transitional period Member States may apply certain restrictions on the free movement of workers from, to and between these new Member States. By 2012, all such restrictions will have been abolished. A similar procedure applies regarding the accession of two additional new Member States on January 1st, 2007. Only three of the fifteen incumbent EU Member States at the time (EU-15) chose to immediately allow free movement from workers from the EU-8. The other twelve maintained their work permit systems, albeit with some modifications. Since, some (e.g. Germany) have already decided to keep such barriers in place until 2012. The Netherlands has kept a work permit system in place up to May 1st, 2007. At that time it abolished that system and effectively extended free worker movement to include workers from the EU-8. This makes the Dutch case, at this point in time, an interesting case for which to analyse the process and effects of increased free labour movement into a national labourmarket. This paper discusses the evolution of (temporary) work migration from EU-8 countries into the Netherlands. It first addresses the flexicurity nature of EU policies towards labour market integration and towards the inclusion of new EU countries in that process. It subsequentely reviews the three socio-legal regimes that can currently apply to work performed for Dutch firms Netherlands by workers from the EU-8 (which, now, is that same as that applies for workers from the EU-15): wage employment; employment through temporary employment agencies; and self-employment. It then discusses the development of the volume of work performed by citizens from the EU-8 in the Netherlands, and socio-economic effects for both the migrant workers and Dutch society and economy. It concludes with a discussion of challenges (or the lack thereof) that this increased free movement of foreign labour caused and causes for Dutch institutions.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
The maximum capacity of the road infrastructure is being reached due to the number of vehicles that are being introduced on Dutch roads each day. One of the plausible solutions to tackle congestion could be efficient and effective use of road infrastructure using modern technologies such as cooperative mobility. Cooperative mobility relies majorly on big data that is generated potentially by millions of vehicles that are travelling on the road. But how can this data be generated? Modern vehicles already contain a host of sensors that are required for its operation. This data is typically circulated within an automobile via the CAN bus and can in-principle be shared with the outside world considering the privacy aspects of data sharing. The main problem is, however, the difficulty in interpreting this data. This is mainly because the configuration of this data varies between manufacturers and vehicle models and have not been standardized by the manufacturers. Signals from the CAN bus could be manually reverse engineered, but this process is extremely labour-intensive and time-consuming. In this project we investigate if an intelligent tool or specific test procedures could be developed to extract CAN messages and their composition efficiently irrespective of vehicle brand and type. This would lay the foundations that are required to generate big data-sets from in-vehicle data efficiently.
The postdoc candidate, Giuliana Scuderi, will strengthen the connection between the research group Biobased Buildings (BB), (collaboration between Avans University of Applied Sciences and HZ University of Applied Sciences (HZ), and the Civil Engineering bachelor programme (CE) of HZ. The proposed research aims at deepening the knowledge about the mechanical properties of biobased materials for the application in the structural and infrastructural sectors. The research is relevant for the professional field, which is looking for safe and sustainable alternatives to traditional building materials (such as lignin asphalt, biobased panels for bridge constructions, etc.). The study of the mechanical behaviour of traditional materials (such as concrete and steel) is already part of the CE curriculum, but the ambition of this postdoc is that also BB principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop a biobased material science line and will facilitate applied research experiences for students, in collaboration with engineering and architectural companies, material producers and governmental bodies. Consequently, a new generation of environmentally sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment, with possible connections with other fields of study, such as Architecture, Engineering, Economics and Chemistry. The project is also relevant for the National Science Agenda (NWA), being a crossover between the routes “Materialen – Made in Holland” and “Circulaire economie en grondstoffenefficiëntie”. The final products will be ready-to-use guidelines for the applications of biobased materials, a portfolio of applications and examples, and a new continuous learning line about biobased material science within the CE curriculum. The postdoc will be mentored and supervised by the Lector of the research group and by the study programme coordinator. The personnel policy and job function series of HZ facilitates the development opportunity.
