vijayshankarv
> Five hundred years ago, the Atlantic Forest of Brazil covered approximately 330 million acres (about twice the size of Texas), but today more than 85% of this forest has been cleared and what remains is highly fragmented.
https://www.nature.org/en-us/get-involved/how-to-help/places...
I've been listening to this interview of Gordon Hempton and the whole field is quite fascinating - https://onbeing.org/programs/gordon-hempton-silence-and-the-...
Over the years, I have also moved from one app to another when it comes to note-taking. Frankly, I was using them more as a place to put things that I might want to refer to later than using them to think about the problems that I was trying to solve.
Personally, I find that there are times when I need more of a free flowing format like paper or an iPad, but most of the time, text suffices. For the last six months or so, I have been using Roam Research and related apps(Obsidian) and they do really help me evolve a structure around my thoughts without having to have one when I am starting out.
For interesting articles, take notes using a system that works for you. Progressive Summarization and Zettelkasten are good ideas.
Over time, you will realize that most articles and books are not worth the time investment to deeply read them and get quicker at skimming to get the gist.
Some useful links:
Better note-taking misses the point -https://notes.andymatuschak.org/z7kEFe6NfUSgtaDuUjST1oczKKzQ...
Gutting books - https://twitter.com/varsha_venkat_/status/110774091578163609...
Hash is a platform for simulation and I think this kind of stuff will become increasingly important.
In my case, my partner is not in academia which makes it a bit easier.
Focused on modelling/simulating materials during my thesis and realized that I loved the software aspect of things and did not love working on the same problem for many months at a time.
As others mentioned, transitioning to data science is not that hard if you have a physics background and there are many interesting problems to solve in the area.Most of my graduate student peers are also in data science/ML and related areas (software/finance).
Although money was a contributing factor, the main reasons to leave academia were being able to live in a city that I liked and where my partner could also find a position.
Did not look back on physics at all for the first couple of years post-PhD, but missing it quite a bit nowadays. End up buying a lot of Physics books every year, although don't get through many of them. Latest purchase was Exercises for the Feynman lectures.
Before reading this book, I did not think much about delays but now I try to identify them as soon as possible.
If you haven't read any of John Holt's books, they might interest you.