This course is made up of four training modules in the area of employment law, which are independent of each other and whose contents refer to a set of legal issues that are particularly sensitive to the evolution of the employment relationship in the age of digitalization.

In each of the modules, the description of the legal system is accompanied by the enunciation and resolution of practical hypotheses.

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

This course aims to provide technicians and managers of different organizations (private, public and social and solidarity economy) with a broad knowledge of different 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 the organization's strategies and decision-making.

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

The course in Ethics, Technology Assessment and Labor Reorganization consists of three 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, based on exploring the risks (quantitative) and, above all, the uncertainties (qualitative) involved in these processes. The course aims to introduce the main theoretical trends and the diversity of methods and instruments developed in the field, devoting particular attention to a critical and reflective analysis of their assumptions and implications.

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

The training Quantitative Methodologies Applied to Law aims to provide 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 using quantitative methodologies.

The purpose of this course is to offer specialized training, enabling participants to critically assess transformations on an international scale, 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 advance of digital technology is reshaping the global geopolitical landscape. The main institutional frameworks and international strategies of the main global players 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. Finally, the training content will converge in two methodological seminars. In the first, the essential elements of the main methodologies used in a business context for drawing up future scenarios essential for defining medium- to long-term strategies (Shell and Delphi methodologies) will be taught, and in the second seminar, these methodological notions will be applied to practical cases.

The CSRD (Corporate Sustainability Reporting Directive) has expanded the obligation for companies to report on their Environmental, Social, and Governance (ESG) performance, and the European Green Deal 2050 called for a historic process of green, multidimensional transition towards sustainable business models, whether in relation to stakeholders or in promoting diversity, equality and inclusion internally, among other good management practices. Investment opportunities and core management aspects are increasingly based 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 particularly in democratizing access to ESG reporting in SMEs. Prior to implementation, it is important to train managers and professionals in the context of their sectors, helping them to develop a conceptual map of ESG, as well as generating skills in an implementation framework and its tools.

This course is made up of three interconnected training modules, which provide basic training on the subject of inequalities, poverty and social exclusion. The curriculum of this course aims to provide trainees with tools to enable them to analyze the phenomena of inequality, poverty and social exclusion in a more informed and sustained manner, as well as the relationship between these phenomena and public policies. The modular and flexible structure of this course allows for changes 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.