I THINK I GOT IT!
I've been trying to understand this for years, but the missing magic words that made it finally click were "inner product."
Thank you @math_vet!
I'll try to explain my understanding in a short thread in case it helps anyone. 🧵 (1/8)
Stupidity is important in scientific research.
This is a very important message.
Myself, I often say to students “You should know enough to start your research but never enough to know the outcome. Learn as you go.”
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Prof. Martin Schwartz (Yale Univ.) discusses this in his paper.
The key messages are:
1️⃣ Science makes me feel stupid... I’ve gotten used to it. So used to it, in fact, that I actively seek out new opportunities to feel stupid. I wouldn’t know what to do without that feeling.
2️⃣ High-school and college science means taking courses, and doing well in courses means getting the right answers on TESTS. If you know those answers, you do well and get to feel smart.
3️⃣ A #PhD, in which you have to do a research project, is a whole different thing…
- How could I possibly frame the questions that would lead to significant discoveries? How to design and interpret an experiment so that the conclusions were absolutely convincing?
4️⃣ I remember the day when Henry Taube (who won the Nobel Prize two years later) told me he didn’t know how to solve the problem I was having in his area. I was a third-year graduate student and I figured that Taube knew about 1000 times MORE than I did.
If HE didn’t have the answer, nobody did.
5️⃣ That’s when it hit me: NOBODY did. That’s why it was a research problem. And being my research problem, it was up to me to solve.
6️⃣ I don’t think students are made [by our education] to understand how hard it is to do research. And how very HARD it is to do important research. It’s a lot harder than taking even very demanding courses.
7️⃣ What makes research difficult is that it is immersion in the unknown. We can’t be sure whether we’re asking the right question or doing the right experiment until we get the answer or the result.
8️⃣ The point of the PhD thesis exam is NOT to see if the student gets all the answers right.
The faculty committee pushes until the student starts getting the answers wrong or gives up and says, ‘I don’t know’.
9️⃣ Science allows us to bumble along, getting it wrong time after time, and feel perfectly fine as long as we learn something each time. No doubt, this can be difficult for students who are accustomed to getting the answers right.
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Why "stupidity?"
We don’t do a good enough job of teaching our students how to be productively stupid.
If we don’t feel stupid it means we’re not really trying.
Science involves confronting our ‘absolute stupidity’.
The more comfortable we become with being stupid, the deeper we will wade into the unknown and the more likely we are to make big discoveries.
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From my side:
This article nicely reflects on how DIFFERENT the coursework is from research.
❗ PhD is NOT about courses. NOT about grades.
It’s about a completely different type of education.
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#AcademicTwitter #AcademicChatter
DWS with two-point GSER shows quantitative agreement between microrheology measurements of DWS and bulk rheology, a breakthrough for measurements of concentrated systems such as suspensions.
https://t.co/vnUDutI7Vq
DWS with two-point GSER shows quantitative agreement between microrheology measurements of DWS and bulk rheology, a breakthrough for measurements of concentrated systems such as suspensions.
https://t.co/vnUDutI7Vq
Excited to announce our newest research on Tea Scum is now published! Prefer green tea instead of black? Then this work is for you!
https://t.co/zM0QALuJGz
@JiachunShi I wonder if people overdo probability analysis for expected value of coins in Camel Up when playing with a group of scientists (because that's what I will probably do lol)
That's exactly me. I spent 2 yrs working on Fortran because that was the only language my PI knows during my master. Later, I realized Matlab and Python are way useful during my PhD.
Academia is so weird!
PhD students spend months running simulations using #Openfoam while the same can be done in weeks using other software just because their supervisor prefers OpenFOAM.
I'm thrilled to share the final contribution of my PhD work. Our work reveals the time resolved dynamics of shear thickening, where a two-step relaxation mechanism and the persistence of hydroclusters during transient flow are discovered. #ShearThickening
https://t.co/uwJow0BN58