Sho: I recently gave a talk on data visualization at the International Conference on Infant Studies (you can find my slides, along with the other wonderful talks on power, preregistration, and ethical data peeking here on the OSF). I also played the German Cats and Dogs Scientist in the barbarplots campaign on better data visualization (on the same topic, Article 1 and Article 2 on why bar and line plots hide differences in underlying distributions). In fact, being part of the barbarplots team was my entry point into thinking more about the importance of visualizing your data in a maximally informative and honest way. Informative means finding a good balance between simplifying/summarizing and showing the underlying data structure. Honest means not (accidentally) hiding important aspects of your data. Mahiko is my office mate and – this is something I discovered while preparing the above talk – an enthusiastic data visualizer. That’s why I asked him to put together our (mostly, his) favorite data viz resources.
This is part of (academic) life. The session was short, so I won’t bother to summarize. Just watch the video:
Some important points I had discussed in a previous session also apply here:
Naomi Havron is a postdoc at the Laboratoire de Sciences Cognitives et Psycholinguistique at Ecole Normale Supérieure.
She was recently interviewed for the departmental newsletter on her experiences as a woman and mother in science, and here’s a statement we found particularly on point:
Being a woman in science became difficult once I was a mom. Before, I believed that any inequality could be surmounted by working my ass off. But once I was a mom, I had to leave work early for my children. And I was judged differently from men. If it was me that was leaving early, that was judged as non-professional and proof I wasn’t invested enough in research. If it was a male colleague that was leaving for his children, he was complimented as being a devoted parent. (paraphrased and translated, see original French version here).
Naomi has been involved in organizing two amazing women-in-science events at our department recently, and we’re very excited she’s sharing her experiences and materials here with us.