There is a fascination with the future, as a repository of both opportunities and threats that affects all of us. Concern for what we call "the future of work" is part of this mosaic. Regardless of their geographical space, people think of their work as being, in varying doses, a source of material well-being, but also a component of their identity. Uncertainties about how will people work in the future – how will they earn income and build a purpose, a meaning through their work – is an important topic, and often a source of concern.
What are we heading for? What kind of future is desirable? What is possible, respectively probable, from what we deem desirable? What can be done to get there? All these are legitimate questions that deserve our attention.
In the context of recent waves of technological progress, the future of work is the subject of intensive controversy. Often in the public space there is an overwhelming emphasis on the impact of new technologies on work, neglecting other shaping forces relevant to labor market dynamics. Therefore, the purpose of this study is to open a wider conversation about the future of work on the 2030 horizon.

The perspective used in this paper is a causal and hierarchical one: from drivers of change towards their impact on labor. Most studies on labor market developments start from a context modeled by several global megatrends. Following this logic, the second chapter describes the four main trends identified in literature: i) technological developments, especially automation; ii) globalization, especially cross-border flows and widening inequalities; iii) demographic changes, in particular the ageing population in the global North; iv) climate change, environmental degradation and the development of the green economy.
Within these trends, ongoing or likely transformations have been identified that have or could have an impact on global labor market dynamics. The section describing each megatrend is accompanied by a box with what we call "signals of change" - contextualizing empirical data that serve as justifications/explanations of the phenomena described in that section. In the context of the global transformations we outline here, the fourth chapter presents a catalogue of emerging occupations, by which we mean both existing (highly dynamic) or incipient occupations and occupations that do not yet exist but are likely to exist in 2030 or beyond
The third chapter was added later in the context of the Covid-19 pandemic and is a brief overview of the transformations in the global labor market – some already visible, others likely - due to this global crisis.

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The study was published in Romanian as part of the project POCU INTL - Quality in higher education: internationalization and databases for the development of Romanian higher education.

Project webpage: pocu-intl.uefiscdi.ro

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We implemented the ForSI (Foresight for Social Innovation) project with the Ministry of Labour and Social Affairs, with the Unit of Social Innovation. The aim of this collaboration was to identify so-called social time bombs - in our definition, problems that will be significant in the future or are already known today, but not yet sufficiently addressed by the state administration. 

The learning process itself was also a framing goal of this collaboration, where the unit team wanted to learn some foresight methods and implement them into certain processes of the department's work. The project involved desk research, two expert workshops, expert interviews, and also working closely with leading experts on social issues to develop a set of social issue cards. The final list of social time bombs was used by the unit to define calls for grant programs for nonprofits seeking to address diverse problems through social innovation. Foresight was thus used in this case to direct public funds more effectively, thereby addressing the problems that need to be focused on with an eye to the future.

https://www.ceskepriority.cz/foresight#co_je_foresight

Smart Futures Tunisia aims to explore what Tunisia and its digital economy could and should look like in 2035. For this purpose, normative future scenarios were created from which inspiring future job profiles could be derived. In a final step, recommendations identify options for action through which the envisioned future can be approximated.

The results are based on a three-stage methodology approach:

• First, key thematic areas were outlined through baseline research and expert interviews.
• Second, a foresight workshop was conducted to create a room to elaborate on different future scenarios and job profiles while also developing a digital skills map and initially discuss recommendations. 
• Third, the results were refined through expert validation loops and expert interviews.

The future scenarios were created to explore what urban areas, smaller cities and rural areas might look like in 2035. A future is drawn in which Tunisia is characterized by smart and self-powered buildings, increasing e-mobility, and public services delivered digitally. Apart from that, digital progress offers the opportunity to provide more equitable education, to conduct various types of commercial activities via e-commerce, and to improve access to health. Such a future in its variety of facets has been visually depicted in the graphic above.

Furthermore, future job profiles are derived on this basis. In a desirable Tunisian development, these will be found primarily in the areas of food production, fintech, e-commerce, health tech, mobility, ed-, gov-, and green tech. Specific job profiles range from farm drone operators, who operate and maintain drones that monitor, measure and analyze crop growth and health, to cybersecurity experts, who protect government data from digital attacks. To be prepared for the changing profiles, digital competencies need to be developed, which can be categorized into the following four pillars: digital literacy and data literacy, technology-specific skills, digital product literacy, and digital transformation literacy.

After developing future scenarios and outlining future job profiles, recommendations were finally drawn up that will enable Tunisia to proactively strive for the future outlined. General recommendations manifest themselves, for example, in the promotion of a "digital culture" that includes all strata of the population in order to make appropriate use of the potential of digitization. A specific example of a topic area recommendation is to strive for leadership in green tech solutions. Here, it is recommended to promote green tech culture, for example by including environmental sustainability and green tech solutions in education and public campaigns. In addition to content recommendations, Foresight Journey recommendations aim to improve and deepen the methodological applications of foresight for potential future ventures in this thematic field.

Smart Futures Tunisia is part of the Special Initiative “Decent Work for a Just Transition” Invest for Jobs of the German Federal Ministry for Economic Cooperation and Development (BMZ) and implemented by the Digital Transformation Programme Tunisia of the Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH. Invest for Jobs aims to team up with companies to create good jobs in eight African partner countries and to improve local working conditions.

4CF The Futures Literacy Company is a consultancy entirely focused on strategic foresight and long-term strategies. For nearly two decades, 4CF has been on the mission to help its clients prepare for an uncertain tomorrow. The Company has executed hundreds of projects for private companies, public institutions and international entities, including the European Commission and its agencies (EUDA, ENISA), FAO, UNFCCC, UNESCO, UNEP and UNDP. 4CF is at the forefront of global innovation, and actively contributes to the development of cutting-edge foresight tools, including 4CF HalnyX (Delphi platform), 4CF Sprawlr, 4CF FLEx.

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