I managed to be strict about reproducible science. And the paper (SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet) I was working on with my co-authors is the first example that reproducible science is fun and I will definitevly keep going in that direction. The paper did take much longer than I previously anticipated (at home it was colloquially dubbed Rohrkrepierer) but our Open-Science approach is not to blame.
So we can check one item of the previously mentioned bullet points: cookiecutter for reproducible science serves a good purpose. Since then, literally all of my projects have started with this cookiecutter, even the smallest one. My project folder is now fully organized, each project has its README.md and I know where to look up for file. Some of my projects "in production" are easily converted into version-controlled projects by simply typing
git init .
I very much recommend it. Happy cookie cutting!
And I like coding. I've been working with complex computer models ever since my undergrad and I enjoy data exploration and data analysis to gain insights into the underlying principles.
Feel free to contact me.