Sure, you can just show a table, but nobody will remember that or pay much attention to start. Much better to tell your story with a picture.
Here are some helpful tips on how: Part 1 and Part 2. Thank you, John Kane for putting this together and to David Mackenzie for finding it.
David McKenzie provides useful advice not only on whether or not to do a post-doc but also best practices if you do decide to do one.
My thoughts: Post-docs vary a lot! Some are really just high-skilled RA positions--which is not necessarily bad if you're learning a lot. Others just give you a lot of free time to pursue your own work--which is not necessarily great if you don't have a clear direction for future projects. My point: There is no clear answer to the question of whether it is good or bad to do a post-doc. It really depends on the particular post-doc position you are considering and the non-post-doc position you are giving up or postponing.
Good luck, JMCs!
We hear a lot about the dangers of AI (and these are real!), but we do not hear enough about how useful LLMs can be. Check out these prompts and other resources for use with LLMs made available by Jesse Lastunen. And do share in the comments if you discover any additional useful prompts.
H/T: Marginal Revolution
The website describes it like this: "The Child Penalty Atlas maps how the arrival of a child affects the careers of men and women across the globe." I recommend playing with the map a bit. You can see for most countries in the world, the child penalty in employment, the gender gap in employment, and the fraction of the gender employment gap explained by the child penalty.
How many new papers idea using these data can you come up with? 1-2-3, go! (UConn students, feel free to come discuss your ideas with me).
Here is the website: https://childpenaltyatlas.org/.
