To help me be more accountable, and also work out how to plan my year and work out what’s important to me, I thought I’d share some of my goals for 2024. Writing it all down is a bit scary, and it makes me think that maybe I might be a bit ambitious here. But I think it’s OK to be ambitious.
Learn JS and Rust
I think JS because it has such an enormous influence on the web, and the tools we use every day. I’ve taken a nice course by Garrick Aden Buie (I can’t seem to find the course website) in 2020 (one of the last conferences I went to), but I unfortunately didn’t really use JS that year so it’s sort of all fell out of my head.
Rust seems like a better language to use than C++. My experience with the rustlings course was excellent, and the error messages from rust were like, actually understandable? It was bizarre. Plus with the rextender R package you can bundle up your R code just like you do with cpp11 or Rcpp. It’d be cool to build something fast and fun in Rust and then bundle it into an R package.
It’s hard to learn two languages at the same time, so I think I’ll try and do 6 months on JS, and 6 months on Rust.
- January - June: JS
- July - December: Rust
Read some more programming books
I’d really like to read these three books:
- Statistical Rethinking
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs (potentially even the JS edition)
Hopefully by saying this out aloud I will be able to actually complete this.
Similar to above, I guess I’ll break this up into 3 parts of the year:
- January - April: Statistical Rethinking (~4 chapters a month)
- May - August: The Pragmatic Programmer (2 chapters a month)
- September - December: Structure and Interpretation of Computer Programs (~1 chapter a month. But oh boy is that book massive…)
Make a contribution to R Core
There is now an R Contribution Working Group, which is focussed on encouraging new contributors to R core, with a focus on diversity and inclusion. I’ve joined the slack team, and put the next two meetings in my calendar.
Courses & books
This year I’m going to be helping deliver a few more courses, the rough plan so far is:
- Feb 7: greta course in Canberra
- March 25/26: quarto for scientists (online)
- June: longitudinal data analysis
- Later in the year: another course - functional programming? Missing data?
Accompanying these courses I’d like to publish little living books, like I’ve done with the Rmarkdown for scientists book.
- Publish and finish conmat
- Regular releases of greta
- Develop and release new pipeline on generalised stacking in insecticide resistance
- Keep my other R packages updated
The big goals for work this year are related to the above tasks, but the big ticket items for me are:
- (Finally) release the Tensorflow 2 version of greta
- Establish regular greta releases, create a greta blog
- Develop documentation on the internals of greta
- Develop a culture and community of practice at work with code review
- Win grants for developing software to solve tricky problems in infectious disease modelling
- Publish software as JOSS papers
Other misc tech / ideas
- Blog regularly
- Remember how to use
switchreliably in R
- Become more proficient with
- Use lintr in my projects
- Consider doing a livestream of a tidy tuesday data cleaning / EDA
- Condense my internet browsing into an RSS reader
- Focus on getting quality sleep
- Do more running
My hope is that I’ll review these goals at the end of 2024. Honestly it’s quite scary to post these plans, and I’m questioning if this is even a good idea to do so publicly. But I think I’ve got the right intention, so let’s leave it at that.