New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganization of the automotive cluster. (ILO, 2020) Due to recent technological advances derived from the application of AI in the domains of autonomous driving, connectivity, automation, and robotics, the automotive sector is evolving from the traditional, linear, product-oriented value chain to a mobility, service oriented one including new players (ILO, 2020). In fact, in the last years, several digital competences centers are supplying the automotive sector and have been installed in Portugal. These changes are put in place to enhance the product quality, to control costs and to improve productivity. The product shift is done to respond to new regulations on environmental protection, and to enable the control of some emergent market niches.
The paper will contribute to answer the question: what are the expectable changes in productivity due to the introduction of AI in the automotive sector and at new players in the automotive value chain in Portugal? Do they have impacts in traditional labour relations in the sector? Did the COVID-19 had an effect in the acceleration of such changes? Does the employment in the automotive sector changed with the recent automation trends in Portugal? Are there signs of improvement in qualifications with increases in automation? Or can we observe a clear job precarity in the automotive labour market with increased application of cyber physical systems in this sector? We want to develop this framework of questions to collect new data and obtain results that will be based on case studies from the automotive cluster. We will use, as well, secondary statistical analysis. Finally, changes in the productivity and labour market will be discussed in relation to the employment volume and skills in the automotive sector.
In this recently approved national project, we will focus on AI (cyber-physical systems, intelligent automation, robotics, IoT) as the most relevant emergent technology to understand the development of automation in this manufacturing sector (Geels et al., 2012; Moniz 2018). R&D investments in industrial processes in general may reflect productivity improvements derived from the increased automation process, but that may not be the general trend. Our empirical data are based until now on initial case studies from the automotive and components sector combined with database search by keywords that sign intelligence automation developments and AI applications selected from national R&D projects on robotics, machine learning, collaborative tools, human-machine interaction and autonomous systems, supported by European structural funds. The implications on industrial productivity and employment will be discussed in relation to automation trends in the automotive sector.

In this paper we will address the impacts on work and employment in Portugal of undergoing reconfigurations in automotive Global Value Chains (GVC). Due to its contributions to employment, exports and production the automotive sector is regarded as strategic for Portugal. Currently, it is caught in the midst of a turmoil, spurred by major trends that are reshaping its global outlook, with perils and opportunities for firms and workers depending on their position in different segments of GVC. The emergence of GVC transformed the patterns of international division of labour, trade and investment. Countries and regions specialize not only in products and services but increasingly in tasks and functions. Value is created globally and is apportioned along the chain depending on the tasks performed, the resources and type of workforce engaged in production in each node, its geographical location and the relative power relations within the production network. Typically, along GVC’s production stages, labour intensive, low skill tasks are ascribed – offshored and subcontracted by lead firms – to firms and workers in peripheral countries, while knowledge intensive, more complex or higher skilled tasks are retained in core regions. The value captured, as well as the share of value ascribed to labour and the quality of employment, are broadly correlated with its position in the chain. GVC, besides firms or even sectors, thus become an appropriate locus for analysing labour processes and employment patterns.
Major trends reconfiguring automotive global networks of production, include: (i) automation; (ii) digitalisation; (iii) electrification of vehicles; (iv) shifting geographies of production; and (v) industrial, employment and social policies. Manufacture of vehicles is known to be an automation-intensive sector permeated by technological developments such as new cyber-physical systems and flexible lightweight robots with an impact on work and employment, particularly on low-skilled workers. National and regional industrial, trade and investment policies articulated with company strategies, are also participating in the reshaping of the automotive GVC and changing the geographies of production. Finally, employment and social policies impinge on and are conditioned by foreign investment and location decisions of automotive multinationals, thus participating in the reshaping of GVC. In order to respond to the main overarching research question (what are the actual and prospective impacts on work and employment in Portugal driven by transitions taking place in the automotive GVC?) an analytical model will be designed. It will place the ongoing and prospective transformations of work and employment patterns as consequence of the interplay of actor’s strategies and public policies, against the background of structures and institutions. The research study will be based on major OEM operating in Portugal (VW, Stellantis, Mitsubishi and Toyota) and on automotive supply chain companies, most of them major player on the automotive GVC (Faurecia, KWD, Vintech, Sodecia, Preh).

This report is the 3rd and final report elaborated for the project CrowdWork by the Portuguese team. The text provides the context in which digital platforms operate, as well as the main governmental initiatives in some of the sectors. Five case studies provide a description of each sector and an analysis of the existing / emerging collective
organisations, their promotors, rationale and extension. In the last chapter, the text presents our main conclusions and recommendations for policy making.

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For most teachers, the use of games is not a common practice. This limited professional experience forces the teacher to reflect on the use of games, on how to integrate them into class work, and on how to enhance the development of learning based on them. Our objective is to analyse a set of game scenarios and study aspects that characterise each of them, relating these characteristics to aspects of the professional knowledge to teach with technology. The study adopts an interpretative and qualitative methodology that seeks to understand the relationship between teachers' choices and their professional knowledge. The main findings suggest that the different characteristics of the game scenarios imply the creation of different working environments in the classroom; enhance the emergence of different student difficulties, requiring different ways to support their work; allowing/promoting different conceptual approaches; and the work with different representations. These differences between the game scenarios point to different emphases on the teaching and learning knowledge and the chemistry knowledge, suggesting different mobilizations of the teacher's professional knowledge.

The potential of technology for teaching and learning mathematics has been widely recognized. However, research has shown that the integration of technology into teaching practice has proved to be difficult, with teachers' knowledge and professional development being identified as a determinant factor. Although there tends to be a focus on the teacher's knowledge of technology, the literature suggests that attention needs to be given to how to integrate technology into teaching practice, thereby involving other types of knowledge. This awareness has led several authors, inspired by Shulman's work, to develop models or conceptualizations of the knowledge required for effective integration of technology.
This study is based on a literature review of the research conducted on the models TPACK - Technological Pedagogical and Content Knowledge, KTMT - Knowledge for Teaching Mathematics with Technology, and PTK/MPTK - Mathematical Pedagogical Technology Knowledge and aims to carry out an analysis of the similarities and differences between the models considered. The main conclusions reached suggest the existence of a common basis for the models considered, but also point to several differences between them, with some highlighting the role of technology and its impact on the teaching and learning process, while others aim to integrate into the model elements based on research on technology or theories related to technology integration, such as instrumental genesis.

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Abstract This paper analyses the performance of the experimental setups to assess the punching strength of slab-column connections in continuous flat slabs under vertical and horizontal loading. In the last years, several experimental campaigns have been performed to investigate the punching strength of slab-column connections, but most of the experimental tests concerned isolated slab-column connections. Among the few setups aimed at reproducing the eccentric punching failure in continuous flat slabs, the setup developed at the NOVA School of Science and Technology in Lisbon is considered in this paper. The performance of the Lisbon setup is assessed through nonlinear finite element analyses, calibrated on experimental data, by comparison with numerical results of a theoretical continuous setup. Then, the performance of the isolated setups, used in many researches and at the base of some international codes, is also evaluated through the same finite element model. Numerical analyses highlight that the setup developed in Lisbon could provide reliable ultimate rotations of continuous flat slab connections, but it underestimates the punching strength. Despite isolated setups lead to similar results when compared with the Lisbon setup, the latter seems to provide a better representation of a continuous slab-column connection. The numerical analyses presented in this paper have been performed assuming monotonic lateral loading.

The EU unveiled a stimulus package as part of the multiannual financial framework (MFF) for 2021–2027 and the temporary instrument designed to boost the economic recovery. This countercyclical response is aimed at avoiding a decline in the EU economy and protecting employment, vulnerable companies and necessity-driven entrepreneurs; however, it should also lay the foundations for a desirable entrepreneurial paradigm for the future that is driven by opportunity and embedded in a Circular Economy aligned to global well-being. We propose a new model that implies a different EU policy which puts entrepreneurship on the path toward and not away from development.

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