This course consists of four independent training modules in the area of ​​Labor Law, whose contents refer to a set of legal matters particularly sensitive to the evolution of the employment relationship in the digital age.

In each module, the description of the legal framework is accompanied by the statement and resolution of real-life scenarios.

The modular and flexible structure of this course allows for changes to its configuration according to the interests of the contracting entity.

This course aims to equip technicians and managers from different organizations (private, public, and social and solidarity economy) with a broad knowledge of various statistical analysis techniques and tools to enhance the use of quantitative data in their organizations and activities, with a view to producing useful knowledge applied to their context, to better inform strategies and decision-making within the organization.

By the end of the course, participants will be able to:
• Describe and characterize quantitative data from diverse sources (administrative data, questionnaire surveys, population censuses, among other sources);
• Conduct exploratory analyses from the available data;
• Select the most appropriate multivariate and inferential statistical analysis techniques to answer the questions of interest posed;
• Visually represent different types of data to support the analytical interpretation presented.

The course in Ethics, Technology Assessment and Labor Reorganization consists of three training modules. These modules are relatively autonomous. The modular and flexible structure of this course allows for changes to its configuration according to the interests of the contracting entity.

This course promotes an understanding of the processes involved in building and implementing public policy monitoring systems, focusing on the exploration of (quantitative) risks and, above all, (qualitative) uncertainties inherent in these processes. The course aims to introduce the main theoretical trends and the diversity of methods and instruments developed in the field, paying particular attention to a critical and reflective analysis of their assumptions and implications.

The training course "Transition to Artificial Intelligence" focuses on the definition of AI and its implications for the workplace, its main (new) characteristics, trends, and consequences for different categories of workers. In particular, it analyzes how AI is automating management practices (algorithmic management) and how this fundamentally alters the relationship between employers and workers.

The Applied Quantitative Methodologies in Law training program aims to equip participants with essential knowledge about quantitative methods and their practical application in the legal field. This training is intended to be a resource in the design and planning of research projects that use quantitative methodologies.

This course aims to provide specialized training, enabling participants to critically evaluate international transformations, their relationship with technological development, and their impact on global value chains. Throughout the course, the effect of digital transformation on geopolitics will be explored, highlighting how the advancement of digital technology is reshaping the global geopolitical landscape. The main institutional frameworks and international strategies of the key global actors that define trends in the reorganization of trade on a global scale will also be discussed. The approach adopted will be interdisciplinary, allowing participants to apply their knowledge through case studies, practical activities, and simulations. The training content finally converges in two methodological seminars. In the first, the essential elements of the main methodologies used in a business context for the development of future scenarios essential to defining medium- to long-term strategies (Shell and Delphi methodologies) will be taught; in the second seminar, these methodological concepts will be applied to practical cases.

The Corporate Sustainability Reporting Directive (CSRD) expanded the obligation for companies to report on Environmental, Social, and Governance (ESG) performance, and the European Green Deal 2050 called for a historic, multidimensional green transition to sustainable business models, both in relation to stakeholders and in promoting diversity, equality, and inclusion internally, among other good management practices. Investment opportunities and key management aspects increasingly depend on ESG performance. Faced with this challenging context, companies need to develop skills, science-based solutions, and digital solutions that can contribute to better decision support, both in large companies and, in particular, in democratizing access to ESG reporting in SMEs. Before this implementation, it is important to train managers and professionals with contextual elements from their sectors, helping them develop a conceptual map of ESG, as well as generating skills in an implementation framework and its respective tools.

This course consists of three interconnected training modules, which provide a foundational education on the themes of inequality, poverty, and social exclusion. The curriculum aims to equip participants with the tools to analyze the phenomena of inequality, poverty, and social exclusion in a more informed and well-founded manner, as well as their relationship to public policies. The modular and flexible structure of this course allows for modifications to its configuration according to the interests of the contracting entity.

Theoretical and practical mastery of planning methodologies and the development of multidimensional impact assessment processes in programs and projects of social economy organizations.