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Key terms: publishing skills, clear and structured English phrasing, organising an academic paper, introductory course, relevant for students in any PhD phase.

Key terms: analysis of literature, literature search, PRISMA, use of AI, write-up templates, ATLAS.ti, Elicit, ASreview, introductory course.

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

Key-terms: quantitative research, data lifecycle (acquire, clean, use/reuse, publish, preserve/destroy), FAIR-principles, R (analytic software).

Key terms: quantitative research, statistical methods, SPSS, introductory course, relevant for students in any PhD phase.

Key terms: analysis of literature , bibliometrics, bibliometric visualisation, science mapping, VOSviewer software tool, introductory course.

Key terms: Quantitative research, making a survey, asking questions, response options, finding respondents, Qualtrics, introductory course.

Key terms: quantitative research, structural equation modelling, correlational analysis, causality, R-lavaan software package, introductory course.

Key terms: quantitative research, computational science, machine learning, network analysis, analysis of large-scale and complex linked data, Python software.

In this workshop, we will practice applying the so-called Pomodoro technique in the "Shut up and write" group setting.