António Moniz

1st ISA Forum report

Additive manufacturing (commonly known as 3D printing or rapid prototyping) refers to processes used to produce parts in an additive manner by means of computer-aided design (CAD). While additive manufacturing is a technology that can be used in many different application areas, this project focuses on future trends in additive manufacturing (AM) aimed at improving biological functionality (bio-AM) and on its opportunities, barriers and challenges. The big advantage of this technique is that small batches can be produced more economically than with any other manufacturing process. Virtually any structure can be customized, which is particularly important in the healthcare sector. Possible applications include biological implants such as organs and tissues, nutrients, drugs and their transport mechanisms, equipment such as surgical knives and drilling guides, tissues for research, development and training, and personalized prostheses, supports and exoskeletons. Besides exploring such applications, the project will also systematically analyze potential "human enhancement" uses of AM technology and developments in the emerging do-it-yourself (DIY) cultures ("bio/body-hacking"; cyborgism; open source 3D printing movement).

In the first phase of the project, the technological state of the art will be analyzed, as will a wide variety of non-technical aspects, regulatory issues and future trends, also with a special focus on sociotechnical imaginaries (e.g., in science fiction), human enhancement and DIY cultures. This horizon scanning will be accomplished partly by means of expert and stakeholder interviews.

In the second phase, the project will use a variety of foresight and technology assessment methods and will carry out a 360° envisioning exercise with contributions by external experts, entailing an in-depth analysis of selected applications of bio-AM.

The project work will end with a scenario development phase in which the focus will be on likely outcomes of already emerging developments, though further-reaching future perspectives will be taken into account to a certain extent. Taken together, these scenarios will allow for both a broader understanding of the wide range of potential impacts of AM applications and a clearer picture of potential policy challenges relevant to the Members of the European Parliament.

At the last National Conference of Industrial Sociology in Portugal (in March 1999) was presented a paper on the topic of “foresight as a technology and employment policy instrument” (A.B. Moniz) where there was a reference to the need of development of this kind of tools and instruments. This need is clear when one should neutralize the negative effects of such policies, and could support the positive influences, especially with the main aims of improvement of quality of working life. Thus, is today possible to make a first balance of the application in Portugal of a type of foresight analysis exercise: the Delphi method. After some of the uses of this method in Portugal on the fisheries socio-economical system and on the relation between information society and employment, we present in this paper a first assessment of such experiments and present some recommendations for future uses of this foresight technique. We conclude that they must be applied within the context of socio-economical perspectives, and not only the technological ones, although they should include that dimension.

Research activities at European level on the concept of new working environments offers considerable attention to the challenges of the increased competencies of people working together with automated technologies. Since the decade of 1980 the development of approaches for the humanization of work organization, and for the development of participative organizational options induced to new proposals related to the development of complex and integrated automated systems. From such parallel conceptual development emerged the concept of “anthropocentric robotic systems” and quickly it covered also other fields of automation. More recently, the debate also covers issues related to working perception of people dealing with autonomous systems (e.g. Autonomous robotics) in tasks related to production planning, to programming and to process control. In fact, today one can understand the wider use of the anthropocentrism concept of production architectures, when understanding the new quality of these systems. In this chapter the author analyses the evolution of these issues related to governance of ICT applied to manufacturing and industrial services in research programmes strengthening very much the ‘classical’ concept of anthropocentric-based systems. It is emerging a new value of the intuitive capacities and human knowledge in the optimization and flexibilization of the manufacturing processes. While this would be a pre-condition to understand the human-robot communication needs, there is also a need to take into consideration the qualitative variables in the definition and design of robotic systems, jobs and production systems.

With the emergence of a global division of labour, the internationalisation of markets and cultures, the growing power of supranational organisations and the spread of new information technologies to every field of life, it starts to appear a different kind of society, different from the industrial society, and called by many as ‘the knowledge-based economy’, emphasizing the importance of information and knowledge in many areas of work and organisation of societies. Despite the common trends of evolution, these transformations do not necessarily produce a convergence of national and regional social and economic structures, but a diversity of realities emerging from the relations between economic and political context on one hand and the companies and their strategies on the other. In this sense, which future can we expect to the knowledge economy? How can we measure it and why is it important? This paper will present some results from the European project WORKS – Work organisation and restructuring in the knowledge society (6th Framework Programme), focusing the future visions and possible future trends in different countries, sectors and industries, given empirical evidences of the case studies applied in several European countries, underling the importance of foresight exercises to design policies, prevent uncontrolled risks and anticipate alternatives, leading to different ‘knowledge economies’ and not to the ‘knowledge economy’.

A lot has been written over the last decade with regard to Toyota and the productive model associated to it (toyota-ism). And more specifically concerning the "(…) best-seller that changed the... sociological world" (Castillo, 1998: 31). But the case of Salvador Caetano’s Ovar Industrial Division (OID), that assembles Toyota light commercial vehicles in Portugal, allows us to put forward a sub-hypothesis that fits into the analysis schema proposed in the First GERPISA International Program – "In short, GERPISA members considered that the plurality of models was much a plausible hypothesis deserving testing as that of the diffusion of a unique model (…)" (Boyer, Freyssenet, 2001: 42). So we add: and within Toyota itself, is it not true that different productive models co-exist – especially when delocalised – depending, amongst other factors, on the degree of Toyota participation – in terms of capital and technology transfer – in the local company (strong or weak) and on the markets to be reached (internal or external)? If so, what work system can we expect to find in a plant that presents such peculiar characteristics as this one?

Cognitive task automation may lead to over trust, complacency and loss of the necessary work environment situation awareness. This is a major constraint in complex work organizations teamwork, ending up into an operational gap, between system developments and its understanding and usability, by operators. This document presents a summary of the main results of author’s research on operational decision processes and occupational competences, applied to the air traffic control operational reality. Introducing a human/technological complementary approach to virtual team’s conceptualisation, the results show there is a dimension to be followed in human/machine integration, which stands beyond interface design, and calls for a deeper human comprehension of technological agent’s structure and functionalities, which will, ultimately, require the development of an operational cognitive framework, where work processes and technological behaviour are integrated in professional competences, as he two faces of the same coin.

In this paper will be discussed different types of scenarios and the aims for using scenarios. Normaly they are being used by organisations due to the need to anticipate processes, to support policy-making and to understand the complexities of relations. Such organisations can be private companies, R&D organisations and networks of organisations, or even by some public administration institutions. Some cases will be discussed as the methods for ongoing scenario-building process (Shell Internacional). Scenarios should anticipate possible relations among social actors as in the Triple Helix Model, and is possible to develop strategic intelligence in the innovation process that would enable the construction of scenarios. Such processes can be assessed. The focus will be made in relation to the steps chosen for the WORKS scenarios. In this case is there a model of work changes that can be used for foresight? Differences according to sectors were found, as well on other dimensions. Problems of assessment are analysed with specific application to the scenario construction methods.

Technology assessment (TA) had never been treated as a relevant topic within the International Sociological Association (ISA) before. The first steps towards establishing this association were taken in 1948, at the initiative of the Social Science Department of UNESCO. Its formal foundation was in 1949. The World Congress of Sociology in Japan was hopefully the beginning of continuous integration of TA into the thematic sessions within the ISA.

Recent developments in automation and Artificial Intelligence (AI) are leading to a wave of innovation in organizational design and changes in the workplace. Techno-optimists even named it the ‘second machine age’, arguing that it now involves the substitution of the human brain. Other authors see this as just a continuation of previous ICT developments. Potentially, automation and AI can have significant technical, economic, and social implications in firms. The paper will answer the question: what are the implications on industrial productivity and employment in the automotive sector with the recent automation trends, including AI, in Portugal? Our approach used mixed methods to conduct statistical analyses of relevant databases and interviews with experts on R&D projects related to automation and AI implementation. Results suggest that automation can have widespread adoption in the short term in the automotive sector, but AI technologies will take more time to be adopted. Findings show that adoption of automation and AI increases productivity in firms and is dephased in time with employment implications. Investments in automation are not substituting operators but rather changing work organization. Thus, negative effects about technology and unemployment were not substantiated by our results

https://ideas.repec.org/p/mde/wpaper/0165.html

This paper is based on a study about the Setúbal region, included in the internacional project “The Future of Industry in Europe” for the programme FAST-MONITOR of the European Community (1992-94). There were some information on the project VW/Ford for this region and those that are connected with research networks on industrial sectors (specially, on the automobile industry), and the network on the spatial and regional factors of regional development. Those studies allowed the scenario development on evolution trends of European industry and, specifically, on the automobile sector, and on the Setúbal region that was studied by the Portuguese team.

Technology Assessment (TA) considers the knowledge on (possible ou probable) technological effects in the processes of decision making and exploring potencial technological risks with secondary effects. Besides that, it is a scientific process with the aim of contributing the public and political opinion formation relative to social aspects of science and technology. That formation is done in an interactive and communicational mode. It overtakes the legitimacy and technology conflicts problems. TA is dealing with a political process either it is related with a parliamentary level decision on the introduction or limitation of new technologies, or at the level of participative processes of entities interested in the labour sphere. In this study, it is concluded that the TA processes at the level of organization of work can aim to fulfill higher levels of productivity and performance of installed equipment, or even to increase the quality of the product or the production process. That does not mean necessarily increases in income of workers and employees. That is why the participation of these actors is also so fundamental to this process.

In Europe, the technology development of high-speed trains is increasingly exposed to societal needs, driven by ICT advancements, external to traditional design. Together with the liberalisation of the rail markets and increase pressures from other transport modes leads to an unprecedented situation where planers, operators and suppliers of high-speed have to take decision in this complex and competitive environment.
In such broadening of elements influencing design and, thus, product development process, from the survey here to be presented, it was not observed technology options assessment or strategic agenda setting from visions shifting in the same way.
For the high-speed train industry this new trend requires going beyond the visions of the past 15 to 20 years’ practices of “sector endogenous” and structurally closed strategic methods approaches to a broader interaction with the widening of societal actors now capable of being active contributors to innovation from digitalization.
This way to understand the European industry readiness for undertaking such supra systemic challenge, this paper presents the results from a survey conducted by the authors to 74 representatives of the high-speed train innovation chain regarding to which extent societal embedding is considered in the drafting of their visions and technology development projects.
This work becomes even more pertinent if considered that the debate is now open in the railway industry (not exclusive to high-speed trains) as they are launching the joint initiative SHIFT2RAIL, revise ERRAC (the European Rail Research Advisory Council) mandate and enter in a new research cycle with the European research framework Horizon 2020.

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The so called “crowd work” is an employment form that uses a digital platform to enable organisations or individuals to access other organisations or individuals to solve specific problems or to provide specific services in exchange for payment (Valenduc and Vendramin, 2016). There are many alternative terms for crowd work used in European member states, such as crowd sourcing, crowd employment, sharing economy, platform economy, gig economy, on-demand economy, collaborative economy, Peer-to-peer economy, among others (Eurofound 2018). Recently, the term “digital platform work” has developed recently to be dominant in the literature to refer to sectors where this technology has arrived. Accordingly, this report will proceed using the latter term. These forms of online intermediation have expanded from creative and high-skilled professional activities that became virtualised as a result of digitalisation to a variety of other services and activities, traditionally delivered by self-employed, that involve the maintenance or repair of material commodities or the delivery of services in person, such as cleaning, gardening, household maintenance and transport (Huws, 2017). As a result of this, workers profiles vary from highly skilled IT and creative professionals to very unskilled workers. It has been also noted that many digital platform workers are young people looking for extra income such as students, unemployed or carers (Valenduc and Vendramin, 2016). The main Portuguese reference about work in digital platforms is fused with the Uber app. Its controversial arrival in 2014 triggered fierce responses from several groups. The main legislative reference on digital platform work is the ‘Uber law’. The symbolism of the app expressed as ‘Uberization’ became synonymous of the ‘new’ precariat, seen as a hassle of technology and an attack to organized labour in the country. There are also regulations for Airbnb at state, regional and municipal level intended to limit the number of lodgings in certain areas where touristic activities are very intense. In general, the other platforms are not covered by specific regulations.

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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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.

New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganisation of the automotive cluster. The emergence of artificial intelligence (AI) has the potential to create disruptive effects in the employment systems across the world. The future deployment of broad-spectrum algorithms capable of being used in wide areas of application (e.g., industrial robotics, software and data communication) can lead to considerable changes in current work patterns, swiftly render many unemployed across the globe and profoundly destabilise labour relations. In this paper, we identify the probable penetration of AI in the automotive sector and to study its effects on work organisation, employment, and industrial relations systems, in Portugal. These changes are put in place to enhance the product quality, control costs, and improve productivity. We study these implications on productivity and industrial relations collecting new data and obtain results based on secondary statistical analyses and case studies in the automotive industry. Finally, changes in the productivity and labour market will be discussed considering the employment and skills changes in the automotive sector when investment on automation becomes a clear trend in the automotive sector.

Most of the discussion and controversy on organisation of work concepts has been referenced to the manufacturing industry along the 20th century: it started with the concept of “scientific management” from Taylor, and continued with the new ideas on the importance of human factors as Mayo pointed out in the 1930s. Immediately after the 2nd World War Friedmann studied the human problems related to new manufacturing technologies and automation. And the late 1950 and 1960s were decades of strong debate on the socio-technics with the research at Tavistock Institute of London and the emergence of national programmes on new forms of work organisation. At the end of the last century the concept of collaborative work was developed together with the definition(s) of information systems and organisational design. However, the interest came from other production activities, like the services. This article analyses the approaches developed on these debates on the collaborative work and information system and its application to the manufacturing industry.