Contemporary issues require us to plan and implement a type of research that can look beyond differences. This seminar series aims to articulate the various dimensions of the problem and to come up with tentative methodological solutions.
Today, interdisciplinary, multidisciplinary, and transdisciplinary research is very appealing and often called for. However, in research practice, it is easier said than done. There are all sorts of technical problems – from data collection to congruence between different types of models – but there are also more fundamental disciplinary divisions characterizing the scientific landscape, not least the widely held belief that quantitative research is often considered superior to qualitative research.
Through this colloquium series, we would like to offer the chance to overcome these barriers and stimulate a healthy dialogue about how to communicate across and possibly integrate ontological, epistemological, and methodological differences to pave the way for ‘real’ multi-data, comparative, multi- and mixed-method research.
This discussion series is hosted by IAS (UvA) and aims to articulate the various dimensions of the problem and to come up with tentative methodological solutions through the following sessions:
- Opening session, 3rd December 2021; (click here to see the video recording of the session)
- Session 1: The qualitative nature of quantitative data, 10th December 2021
- Session 2: The quantification of qualitative data, 14th January 2022
- Session 3: The nature of data, 28th January 2022
- Session 4: One, many, thousands… big, 11th February 2022
- Session 5: Syntactic and semantic structures, 25th February 2022
- Session 6: Causality, 11th March 2022
- Session 7: Doing mixed methods, 25th March 2022
- Session 8: Teaching mixed methods, 29 April 2022
To participate, please register to each session individual through this link here. Please also inform us if you won’t be able to attend as we set up a waiting list.