5 Things: ScientistsPosted: September 17, 2014 Filed under: Education, Opinion | Tags: advocacy, authenticity, Biological scientists, blogging, community, education, einstein, five things, Google image search, learninge, newton, research, science, scientists, stereotype, stereotype threat, teaching, thinking, white coats Leave a comment
Another 5-pointer, inspired by a post I read about the stereotypes of scientists. (I know there are just as many about other professions but scientist is one of my current ones.)
- We’re not all “bushy-haired” confused old white dudes.
It’s amazing that pictures of 19th Century scientists and Einstein have had such an influence on how people portray scientists. This link shows you how academics (researchers in general but a lot of scientists are in here) are shown to children. I wouldn’t have as much of a problem with this if it wasn’t reinforcing a really negative stereotype about the potential uselessness of science (Professors who are not connected to the real world and who do foolish things) and the demography (it’s almost all men and white ones at that) which are more than likely having a significant impact on how kids feel about going into science.
It’s getting better, as we can see from a Google image search for scientists, which shows a very obvious “odd man out”, but that image search actually throws up our next problem. Can you see what it is?
- We don’t all wear white coats!
So we may have accepted that there is demographic diversity in science (but it still has to make it through to kid’s books) but that whole white coat thing is reinforced way too frequently. Those white coats are not a uniform, they’re protective clothing. When I was a winemaker, I wore heavy duty dark-coloured cotton clothing for work because I was expecting to get sprayed with wine, cleaning products and water on a regular basis. (Winemaking is like training an alcoholic elephant with a mean sense of humour.) When I was in the lab, if I was handling certain chemicals, I threw on a white coat as part of my protective gear but also to stop it getting on my clothes, because it would permanently stain or bleach them. Now I’m a computer scientist, I’ve hung up my white coat.
Biological scientists, scientists who work with chemicals or pharmaceuticals – any scientists who work in labs – will wear white coats. Everyone else (and there’s a lot of them) tend not to. Think of it like surgical scrubs – if your GP showed up wearing them in her office then you’d think “what?” and you’d be right.
- Science can be a job, a profession, a calling and a hobby – but this varies from person to person.
There’s the perception of scientist as a job so all-consuming that it robs scientists of the ability to interact with ‘normal’ people, hence stereotypes like the absent-minded Professor or the inhuman, toxic personality of the Cold Scientific Genius. Let’s tear that apart a bit because the vast majority of people in science are just not like that.
Some jobs can only be done when you are at work. You do the work, in the work environment, then you go home and you do something else. Some jobs can be taken home. The amount of work that you do on your job, outside of your actual required working time – including overtime, is usually an indicator of how much you find it interesting. I didn’t have the facilities to make wine at home but I read a lot about it and tasted a lot of wine as part of my training and my job. (See how much cooler it sounds to say that you are ‘tasting wine’ rather than ‘I drink a lot’?) Some mechanics leave work and relax. Some work on stock cars. It doesn’t have to be any particular kind of job because people all have different interests and different hobbies, which will affect how they separate work and leisure – or blend them.
Some scientists leave work and don’t do any thinking on things after hours. Some can think on things but not do anything because they don’t have the facilities at home. (The Large Hadron Collider cost close to USD 7 Billion, so no-one has one in their shed.) Some can think and do work at home, including Mathematicians, Computer Scientists, Engineers, Physicists, Chemists (to an extent) and others who will no doubt show up angrily in the comments. Yes, when I’m consumed with a problem, I’m thinking hard and I’m away with the pixies – but that’s because, as a Computer Scientist, I can build an entire universe to work with on my laptop and then test out interesting theories and approaches. But I have many other hobbies and, as anyone who has worked with me on art knows, I can go as deeply down the rabbit hole on selecting typefaces or colours.
Everyone can appear absent-minded when they’re thinking about something deeply. Scientists are generally employed to think deeply about things but it’s rare that they stay in that state permanently. There are, of course, some exceptions which leads me to…
- Not every scientist is some sort of genius.
Sorry, scientific community, but we all know it’s true. You have to be well-prepared, dedicated and relatively mentally agile to get a PhD but you don’t have to be crazy smart. I raise this because, all too often, I see people backing away from science and scientific books because “they wouldn’t understand it” or “they’re not smart enough for it”. Richard Feynman, an actual genius and great physicist, used to say that if he couldn’t explain it to Freshman at College then the scientific community didn’t understand it well enough. Think about that – he’s basically saying that he expects to be able to explain every well-understood scientific principle to kids fresh out of school.
The genius stereotype is a not just a problem because it prevents people coming into the field but because it puts so much demand on people already in the field. You could probably name three physicists, at a push, and you’d be talking about some of the ground-shaking members of the field. Involved in work leading up those discoveries, and beyond, are hundreds of thousands of scientists, going about their jobs, doing things that are valuable, interesting and useful, but perhaps not earth-shattering. Do you expect every soldier to be a general? Every bank clerk to become the general manager? Not every scientist will visibly change the world, although many (if not most) will make contributions that build together to change the world.
Sir Isaac Newton, another famous physicist, referred to the words of Bernard of Chartres when he famously wrote:
“If I have seen further it is by standing on the sholders [sic] of Giants”
making the point even more clearly by referring to a previous person’s great statement to then make it himself! But there’s one thing about standing on the shoulders of giants…
- There’s often a lot of wrong to get to right.
Science is evidence-based, which means that it’s what you observe occurring that validates your theories and allows you to develop further ideas about how things work. The problem is that you start from a position of not knowing much, make some suggestions, see if they work, find out where they don’t and then fix up your ideas. This has one difficult side-effect for non-scientists in that scientists can very rarely state certainty (because there may be something that they just haven’t seen yet) and they can’t prove a negative, as you just can’t say something won’t happen because it hasn’t happened yet. (Absence of evidence is not evidence of absence.) This can be perceived as weakness but it’s one of the great strengths of science. We work with evidence that contradicts our theories to develop our theories and extend our understanding. Some things happen rarely and under only very specific circumstances. The Large Hadron Collider was built to find evidence to confirm a theory and, because the correct tool was built, physicists now better understand how our universe works. This is a Good Thing as the last thing we want do is void the warranty through incorrect usage.
The more complicated the problem, the more likelihood that it will take some time to get it right. We’re very certain about gravity, in most practical senses, and we’re also very confident about evolution. And climate change, for that matter, which will no doubt get me some hate on the comments but the scientific consensus is settled. It’s happening. Can we say absolutely for certain? No, because we’re scientists. Again – strength, not weakness.
When someone gets it wrong deliberately, and that sadly does happen occasionally, we take it very seriously because that whole “standing on shoulders of giants” is so key to our approach. A disingenuous scientist, like Andrew Wakefield and his shamefully bad and manipulated study on vaccination that has caused so much damage, will take a while to be detected and then we have to deal with the repercussions. The good news is that most of the time we find these people and limit their impact. The bad news is that this can be spun in many ways, especially by compromised scientists, and humans can be swayed by argument rather than fact quite easily.
The take away from this is that admitting that we need to review a model is something you should regard in the same light as your plane being delayed because of a technical issue. You’d rather we fixed it, immediately and openly, than tried to fly on something we knew might fail.
Spot the Computer Science Student and Win!Posted: May 8, 2012 Filed under: Education | Tags: advocacy, computer science, computer science student, education, higher education, learning, measurement, resources, stereotype, student, teaching approaches 1 Comment
CS Students get a pretty bad rap on that whole “stereotype” thing. Given that I’m an evidence-based researcher, let’s do some tests to find out if we can, in fact, spot the CS student. Here’s a quick game for you. Hidden in this image are 3 Computer Science students.
Which ones are they? (You can click on the image to enlarge it.)
I’ll make it easy for you to reference them – we’ll number the rows from the top (A) to the bottom (H) and the images from left to right as 1 to … well, whatever, because the rows aren’t the same length. So the picture with the cactus is A2, ok? Got it? Go!
Who did you pick? Got the details? Now scroll down.
Of course, if you know me at all, you probably know the answer to this already.
They’re ALL Computer Science students – well, they’re found in an image search for “I am a Computer Science student” and, while this is not guaranteed, it means that most of these students are in CS. Now, knowing that, go back and look at the ones you thought were music majors, physicists, business students, economics people. Yes, one or two of them probably look more likely than most but – wait for it – they don’t all look the same. Yeah, you know that, and I know that, but we just have to keep plugging away to make sure that everyone ELSE gets that. Heck, the pictures above are showing less pairs of glasses per person than you would expect from the average and there’s not even one light sabre! WON’T SOMEONE THINK OF THE STEREOTYPES???
This is only page 2 of the Image Search and I picked it because I liked the idea of some inanimate objects being labelled as CS students as well. Oh, that’s right, I said that you’d win something. You know never to trust me with statements unless I’m explicit in my use of terminology now. Sounds like a win to me!
(Of course, the guy with red hair is giving the strong impression that he now knows that you were looking at him on the Internet. I don’t know if you wanted that but that’s just how it is.)