This postcard you can see there: that’s the picture I look at the most from all the pictures I hang up on my desk. It’s next to my screen. And I like it so much. I love how the clouds reflect themselves in the lake as these long white blurry somethings. And it seems like they’re on one vertical layer… But then you see the the lake and you know it’s really one horizontal layer (=the layer surface).
Today I mainly worked on my third and last blog post. I made some great progress with it, finally, which felt good. I’m still not sure about the structure. Right now it’s another listicle, again. Ate listicle something bad per se? I don’t even know. I just like lists a lot.
Then I met with N, who’s a professor at the University of Maryland. It was a great insight into the world of academia and we had a nice long chat about teaching etc. The great ending of my day was the “Women in Data Science” (there were surprisingly many men present). I only got the last 10 min of the seemingly great first presentation, so I was a little bit bumped. But the second presentation was even better. Some great insight into the world of computer scientist students and some good career advice.
Besides that, I had an important conversation with first J and then R. I like good friends. They are awesome.
Input? 6
Output? 4
Learnings?
Only 12% of computer scientist students are female.
Stereotypes influence our perception , so we need to become aware of them.
You have to be your own advocate.
Questions?
People say that you’re not learning enough if you’re not doing something in which you can fail. I think I’m one of these people. The worst thing that can happen to me is pursuing a story that after a day or week appears to be not worthy to pursue any further. But that doesn’t seem like failing. The worst case here is not… bad. What would be a project in my field in which I could fail a lot? How can I leave my space of safety?