I used an anonymous survey to ask colleagues some questions about which topics may be more interesting or useful in their research.
In the first question people indicated topics of interests. The winner are multilevel models, followed closely by Bayesian statistics.
There were some additional suggestions.
#>  "power analyses using Shiny apps" #>  "agent-based models" #>  "this may be covered in the above, but approaches to analysing experience sampling method" #>  "Methods for longitudinal analyses" #>  "Network modelling" #>  "Neural networks, Markov processes" #>  "Random forests and related" #>  "causal modelling using regression models - path models etc" #>  "prediction modelling"
A few other topics were mentioned in the comment section:
- Shiny apps
- Network modelling
- Longitudinal analyses
- Random forests
- Neural network
Here people indicated their interest for topics related to data analysis.
Other things mentioned in the comments were: