Want to use interactive graphics to help amplify your research? This post talks about how to do that, using my new international research and one other project as examples. Most recently, Science mentioned the interactive table I created (see end of this post).

This interactive table accompanies the study, “Women’s Representation in Science Predicts Gender-Science Stereotypes: Evidence From 66 nations”, published in Journal of Educational Psychology. UPDATE: A later full-length post now discusses this table!

Scientists prefer women to similarly qualified men for tenure-track faculty positions, according to a new experiment published in Proceedings of the National Academies of Sciences (PNAS).

The JavaScript library D3.js is arguably the most influential tool for creating interactive data visualziations. This post focuses on what D3 is and why you should learn it. Oh and koalas. This post is also about koalas. And lots of eye candy.

Making interactive visualizations is an exciting way to also learn computer programming. That’s what Obama did. You can learn both programming and interactive visualization skills in two ways: (a) though web devevelopment and (b) through data analysis.

Have you ever looked at a New York Times interactive graphic and thought, “Wow, that’s so cool! I wish I knew how to create something like that”? Or are you interested in strengthening your data skills more broadly? If so, this blog may interest you.