Sometimes, things just fall into place: The evening before the most recent Academic Crisis Line on dealing with rejection and frustration, I got a pre-holiday manuscript rejection. As pointed out by the crisis liners, rejection in academia happens to everyone on a rather regular basis. So what we should really be concentrating on is to deal with it in the most self-preserving and productive ways possible. One thing that can really help is to talk through it, and to connect with others in similar situations.
So I thought it would be an interesting experiment to share my unfiltered thoughts while I deal with this rejected paper here on this blog.
Continue reading Rejection report: Part 1
Just a few months ago, I moved into the very first office that has only my name on it. During my whole scientific career, I shared offices of various sizes with between 1 and 7+ people. My office history ranges from the windowless undergrad thesis internship room where 6 students working on related projects and shared science and cookies over the room with a view and 2 colleagues as a PhD to the office with a server and between 0 and 3 others I occupied as post doc. During this time, I experienced many ways of sharing space: From the uncomplicated folks that tolerate your occasional cursing at the monitor to the weirdly expansion obsessed colleague who insisted that I would have more room if I just moved closer to the wall. Now, I’d like to think I know a bit about how to navigate shared office spaces, and I want to impart some bits of my wisdom and open them for discussion. Don’t hesitate to share your office mate horror stories in the comments and/or add useful tips how to improve office life!
This entry is part of a summer series over at the wonderful My Scholarly Goop, featuring true tales of early career researchers’ scholarly paths. Read my contribution here, and head over to the series to get a new essay each Friday, the whole summer long.
Not pursuing a PhD was, frankly, never part of my thought process. My parents are both researchers (albeit, in Biophysics and Physical Chemistry), and I grew up spending Sunday afternoons in the lab proudly reproducing the Briggs-Rauscher reaction in my own little lab coat while my parents were working. I’m a bit like the medical doctor who became a doctor because her parents are also MDs. You could say I tried to be a bit different and decided to become an opthamologist instead of a dermatologist, but that’s really about how crazy I went. Continue reading The Straightforward Academic (or: Your advisor also poops)
Most of us that are currently grad students or postdocs have experienced colleagues leaving academia for industry jobs. Even though I am currently a happy scholar, I can very well understand those who venture into industry – be it for making impact on a shorter time-scale and in a more direct manner, for more job security and more regular working hours, or simply for higher pay and the possibility to plan a family and get some savings. And indeed, the fluidity between academia and industry has arguably never been that strong. I find it very important for us young cognitive scientists to know that academia is not a one-way street, and the world outside there is welcoming us warmly, should we choose to enter it.
Meet Christine Boylan and Neil Bardhan, who have both recently left the academia cosmos to pursue two very distinct career paths.
Continue reading How to survive outside of academia: Interview with a data scientist and a science consulting coach
Christina, Page and I like meta-analyses. We are convinced they are a great tool to leverage past research in order to move forward: To gain an overview of the state of a field, to get an idea of research practices, to plan new experiments, and even to get novel theoretical insights.
Continue reading How to run a meta-analysis? A video tutorial
Stephen Politzer-Ahles is Assistant Professor at the Department of Chinese and Bilingual Studies of The Hong Kong Polytechnic University. He is committed to finding solutions to current challenges in the cognitive sciences. For instance, he is developing efficient and transparent strategies to empty out his own file drawer.
p>.05. We’ve all been there. Who among us hasn’t had a student crying in our office over an experiment that failed to show a significant effect? Who among us hasn’t been that student?
Statistical nonsignificance is one of the most serious challenges facing science. When experiments aren’t p<.05, they can’t be published (because the results aren’t real), people can’t graduate, no one can get university funding to party it up at that conference in that scenic location, and in general the whole enterprise falls apart. The amount of taxpayer dollars that have been wasted on p>.05 experiments is frankly astounding. Continue reading Find a significant effect in any study