Browse courses

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

Key terms: qualitative and quantitative research, exploring subjectivities (such as beliefs and preferences) around complex and/or value-laden topics.

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

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

Key terms: quantitative research, research synthesis, meta-analysis, advanced course, relevant for students in any PhD phase.

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

Key terms: qualitative research, qualitative data analysis, biographic data (textual or visual), positionality, introductory course.

Key terms: literature search, reference management, reference management software (such as RefWorks), introductory course.

Emerging Technologies & Social Change: Harness the Power of AI and Citizen Science: Join the Designathon!

It is important as an early-stage researcher to understand the research landscape, and to start developing essential skills for grant success.