A three-part interactive workshop series to introduce and compare agent-based modelling and system dynamics modelling, focusing on their applications in social science and public health.

This training will introduce time series analysis for associative studies using distributed lag non-linear models and how to conduct it in R/RStudio. This method provides an elegant framework to study the 3-dimensional relationships between the predictor, its lags and their effects on the outcome.

The overall aim of this training event is to provide a comprehensive overview of the application of the classic version of grounded theory methodology.

I plan to record 3 x 30 mins to an hour podcasts with a guest and then teach 3 x 30 mins to an hour interactive session with students where I will invite them to ponder on some questions and use the podcast as a point of reflection.

This interactive training will cover a range of trauma-informed theories and approaches to research. Activities will be specifically focused on developing trauma informed research tools to promote the safety and collaboration of both participants and researchers.

This event aims to share the experience of cross-countries data collection under the influence of Covid-19. Many aspects are involved, including different fieldwork methods used by these two ongoing research projects and challenges of data collection in terms of in-person fieldwork and online research.

In a two-part workshop on R (Studio), you will create your personalized character in the virtual space of Gather town and start from the very basics of setting up R, continue to explore ways to upload and sort data, dive into eye-pleasing plots, and learn about the best practices in data analysis.

This event is a 2.5-hour training session on some of the key benefits and challenging issues when implementing a mixed-methods design in social research.