NEWS

This CEN Workshop Agreement (CWA) provides orientation for the management of building retrofitting projects, based on enhanced shallow geothermal technologies, in form of guidelines for the classification of an integrated design team and the identification of the primary roles of actors among the whole project life-cycle.

The CEN Workshop (CEN/WS) will develop a CWA aimed to provide a user-centred summative and formative testing methodology for public sector bodies and agencies willing to measure the extent to which local public service delivery (including offline and online modes) empowers refugees and regular immigrants in the fulfilment of their integration goals and in so doing, ultimately enables a full exercise of their acknowledged citizenship rights. 

The construction sector is one of the main drivers of EU’s economy. Despite major efforts in harmonising and standardization of qualification and training procedures across the EU, the competence level of sustainability experts and the underlying training and education contents varies significantly between the Member States.

The sheet metal forming sector faces a major challenge with respect manufacturing of metal sheet parts, represented by the lack of adequate test methods to assess sheet formability and part performance at the product design stage. This is essential to be able to develop high-performance parts at a reduced cost with new high strength materials, such as high strength steel (AHSS). Such high strength makes them processing sensitive, so forming parameters and sheet properties must be assessed to assure a zero-defect production and part quality, avoiding unexpected defects that cannot be predicted at the product design stage using traditional experimental or computational approaches.

The technical challenges that exist in the hatchery production of new and emerging Low Trophic Species (LTS) are significant, and to a large degree they are the same across species and sectors.

The European, as well as the global, B2B platform landscape is characterized by a high proliferation and fragmentation of diverse solutions with few signs of consolidation. Success of a B2B platform economy requires commercial platforms to be collaborative, simple, scalable, secure, and trusted.

This Workshop will produce a CEN Workshop Agreement (CWA), which will define quality criteria and guidelines for effective dual training (dual systems). The document aims at simplifying the dual training process for every kind of structure and it will include examples of best practices related to the different experiences of the CEN Workshop participants. It will also contain an annex addressing the need for code of conducts between host company and trainee and providing for additional examples, thus addressing another relevant aspect, which is the centrality of the person, seen not only as a resource and part of an economic mechanism.

The CEN Workshop on 'Methodology to quantify the global agricultural crop footprint including soil impacts' is a result of the Spanish Retos-Colaboración 2017 project FERTILIGENCIA (Innovative fertilizers to reduce the environmental impact of agriculture and development of a standard for assessing the sustainability of agroecosystems), whose general objective is to develop intelligent fertilizers using the understanding of the soil-microbiome-plant system, setting the first steps for an agriculture new revolution, able to satisfy the future food demand, minimizing the environmental impacts and loss of fertile soil.

The motivation for this Workshop came from multiple European research projects and large-scale pilots that found that they were all needing to identify the most suitable lawful basis for collecting and processing personal health data for the development, deployment, testing and evaluation of digital health innovations. This CWA aims to combine the experience of various R&I projects regarding this topic in a best practice guide on how to obtain user consent for personal health information.

Models mimic the behaviour of real-world systems by mapping them into mathematical objects. Models give freedom to the mind, allow tampering and testing, playing with what could become real before it has real-world consequences.