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This course focuses on Grounded Theory as one of the dominant approaches to Qualitative data analysis (QDA).

Key terms: qualitative and quantitative research, social change, collaboration with society or policy, introductory course, relevant for students in any phase.

This workshop teaches you the skills to be more resilient.

Multilevel modelling is an important and valuable method that can be used to analyse ‘hierarchical’ data.

Key terms: mixing qualitative and quantitative methods, designing research, introductory course, relevant for students in any PhD phase.

In this workshop, we’ll introduce the main author identifiers and researcher profiles to you, like ORCID iD, Publons, Google Scholar, ResearchGate.

The aim of this course is to provide you with the tools to write a publishable article and to submit the best product possible.

Key terms: generating impact with your PhD project, entrepreneurial skills, innovation, introductory course, relevant for students in all stages of their PhD tr

The course is specifically designed for people who do not feel comfortable using technical programming software. It introduces a set of digital research methods.

In this course the instructor will illustrate the application of R with practical examples. R is widely used open-source software environment for data analysis.