Researcher and science writer; co-founder and editor at Works in Progress, formerly Our World in Data, and author of the Scientific Discovery newsletter.
This amazing book traces the development of genetic engineering, and how Herbert Boyer and Robert Swanson turned the science into a commercial product by developing recombinant insulin.
Year-end post whose 'Reading recommendations' section lists her favourite reads of the year on the history of science and medicine.
I mistakenly expected this to be a somewhat shallow, generic popular science book, but it was a very thorough account of how CRISPR gene editing emerged from decades of obscure basic research into bacterial immune systems.
Year-end post whose 'Reading recommendations' section lists her favourite reads of the year on the history of science and medicine.
I instead use Datawrapper to create interactive charts very quickly. They follow great data visualization principles, have influenced my work, and their styles look great.
Her long guide to data visualization; the 'Which tools do I use?' section sets out her actual charting workflow. She adds in the same paragraph that she has a Datawrapper subscription through Works in Progress.
Hard DrugsPodcastSaloni Dattani and Jacob Trefethen
recommendedtheir own
And if you prefer podcasts, may I suggest Hard Drugs
Year-end post whose 'Reading recommendations' section lists her favourite reads of the year on the history of science and medicine. She co-hosts this podcast herself, which the quote states.
I then export the graph as an .svg file, and open it up on Adobe Illustrator or Figma
Her long guide to data visualization; the 'Which tools do I use?' section sets out her actual charting workflow. She names Illustrator and Figma as interchangeable steps in the same workflow.
I then export the graph as an .svg file, and open it up on Adobe Illustrator or Figma
Her long guide to data visualization; the 'Which tools do I use?' section sets out her actual charting workflow. She names Illustrator and Figma as interchangeable steps in the same workflow.
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.
The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:
Hardware, services4 years
Software5 years
Podcasts, courses, other8 years
Books25 years
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.