Showing posts with label science. Show all posts
Showing posts with label science. Show all posts

30 May 2012

Thought of the day: The best intellectual training

At the risk of sounding self-serving and elitist, I think the best intellectual training is mathematics and physics. These subjects are the most challenging to learn due to their abstract nature and extremely difficult to pick up as an adult (maybe as difficult as learning a musical instrument or foreign language as an adult). There are many claims that mathematicians and theoretical physicists make their biggest discoveries before the age of 40. Mathematicians and physicists have a reputation for being "smart" and after a long period of reluctance and doubt, I have to agree that this reputation is well-deserved.

If you know math and physics, it's easy to pick up almost everything else. I'm not saying you'll achieve a deep understanding of literature, history, or business, but you'll be able to learn it pretty fast and be decent at it. My friend remarked that the coolest people are the scientists who are the top in their field and interested in everything. Unfortunately, these people are a minority. The rest are rather one-dimensional and dull company. (Her opinion, not mine.)

I think that the other difficult fields to pick up are visual art and music. They are also quite abstract. Artists are trained to "see" in a special way; they can translate what they see into an artistic representation (often translating 3D into 2D). By visual art, I'm talking about drawing and painting, not photography (which is kind of a technological cheat). Musicians innately understand rhythm and scales.

I've heard that philosophy is the best intellectual training if you restrict yourself to humanities fields. I'm not really sure about social science. Those are interesting subjects, but I think if you just want to be a great thinker, you're better off starting with math and physics.

So I guess if I had a child, I would have him/her learn art, music, math, and physics, plus a couple foreign languages.

29 May 2012

Thought of the day: Detail vs ideas

I find it easy to get overwhelmed by details, particularly in science where most research reveals around investigating one specific detail. There are so many facts and things to remember that I end up feeling hopeless and depressed.

So now I want to do something different. Instead start from the big idea and then go looking for the details that support and illuminate the idea. Reading scientific papers (which are usually not well-written) is like wading through a sea of details and hoping to re-construct the big idea that encompasses them. Very difficult and painful.

23 May 2012

Thought of the day: Direct Studies for scientists?

I have heard a lot of good things about the Directed Studies program at Yale. It's an elective program for freshmen undergraduates. For their first two semester, the students take three classes covering "literature, philosophy, and historical and political thought."

My impression is that it's a survey of the foundations of Western culture. It helps people understand where many Western ideas came from, for example, democracy -- an idea we take for granted. The professors encourage a lot of discussion and deep thinking. Directed Studies teaches young people how to think. In the Boston Globe, one of the Directed Studies professors argues why the program and those like it are important:
The first is that there is more than one good answer to the question of what living is for. A second is that the number of such answers is limited, making it possible to study them in an organized way. A third is that the answers are irreconcilably different, necessitating a choice among them. A fourth is that the best way to explore these answers is to study the great works of philosophy, literature, and art in which they are presented with lasting beauty and strength. And a fifth is that their study should introduce students to the great conversation in which these works are engaged - Augustine warily admiring Plato, Hobbes reworking Aristotle, Paine condemning Burke, Eliot recalling Dante, recalling Virgil, recalling Homer - and help students find their own authentic voice as participants in the conversation.
Would it be possible to make an equivalent for science? How would you cover the history of science? What would be the book list? I'm guessing that constructing a science version of Directed Studies would be pretty difficult. Scientific ideas, especially from physics and math, are very abstract and difficult to grasp. If you don't have a good base of math, physics, chemistry, and biology, it'd be hard to have discussions. Moreover, the way that these subjects are taught in K-12 doesn't help. Students are taught to memorize and apply recipes. I don't think freshmen would have enough background. The only book I can think of that would work is Thomas Kuhn's The Structure of Scientific Revolutions.

22 May 2012

What a scientist should be able to do

A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.
- Robert Heinlein, Time Enough for Love
I was thinking about what are the skills a scientist should have. What do you think a grad student should know at the end, after they finish their PhD?
  1. Technical skills - mathematics, programming/numerics, lab techniques, etc
  2. Writing - ability to write good scientific papers that are clear, concise, and well-motivated
  3. Presentations - ability to write good presentations and deliver them well, this is closely related to writing
  4. Comprehension - ability to distill the important ideas from a paper or presentation, ability to tell the difference between crappy research and good research
  5. Process - (advanced) ability to come up with concrete ways/experiments to answer questions, ability to overcome deadends in research, ability to stay organized, keep good records, and manage other people
  6. Community - talking to people including those outside your field, attending seminars/conferences, convincing people your research is important, building a network of trusted friends who you can turn to for feedback and support
  7. Creativity - ability to understand the difference between good and bad ideas/questions, (advanced) ability to come up with interesting questions that are soluble
  8. Resilience - ability to stay positive and motivated even when the research isn't going very well
I am by no means an expert on this subject.

21 May 2012

Link of the day: Three styles for writing a (scientific) paper

My sister alerted me to a nice explanation of how a scientific paper should be written. The author, Prof. Stuart Shieber, describes three styles of writing a paper and which one you should use.

The first is the "continental" style in which you simply state the idea and show the data/proof. I think the name "continental" refers to those continental breakfasts where you choose whatever you want to eat from a buffet. This kind of paper has no motivation and to readers who are not experienced, makes it seem like you are really smart. It's also unreadable.

The second style is the "historical" style. It's kind of like writing a diary where you describe all the mistakes you made, how you changed your research direction, etc. A lot of students fall into writing in this way because they're doing their first big research project, it's all new to them, and they think their work is really important or want to explain how much they suffered during the process. The problem with this approach is that there is a lot of stuff the reader doesn't need to know and also, it might make you look like an idiot.

The third style is the "rational reconstruction" style. It's kind of a middle-of-the-road style between "continental" and "historical." You present an ideal history which only shows the steps that motivate your final result. It's kind of like if you made a movie of your life -- you would want to show the important events and tie them together in a consistent, meaningful manner. Sometimes you might need to embellish or downplay something a little to make the story more coherent or engaging.


The concise version:

"Continental" style - you state the idea without any motivation -> makes you look like a genius, at least to those whom you can fool into thinking that unreadable papers are brilliant

"Historical" style - you provide a diary of your research containing all the mistakes and changes in direction you made -> makes you look like an idiot

"Rational reconstruction" style - you give an ideal history, only present the relevant steps and motivate everything properly -> the one you should use

14 May 2012

What I learned at the defense industry career panel

This afternoon, I went to a panel about doing science in government, mostly defense work. It was the best career event I've ever been to. The three panelists were diverse, interesting, charismatic, down-to-earth, and genuinely helpful. All three had PhDs in science/engineering. I'm relating what I learned from memory, so the account below is not entirely accurate.

The first panelist was a man who works in a technology office. He said that nowadays he mostly signs checks. But back in the day, he did all sorts of cool defense research. He even slept on an aircraft carrier. He recommended that we cyberstalk as much as possible to get a job. He told us that he gets to work at 6 am and has an hour before everyone else shows up. That's the perfect time for an informational interview over the phone. He also cyberstalks, from the hiring end. When he Googles people, he likes to see that they have varied experiences, for example, doing charity work in a poor area. He believed that the PhD is a degree in perseverance. He got his PhD while working full-time, though towards the end when he was writing his thesis, he got a few days off a week. Also, it was interesting when he asked how many people in the room (mostly science grad students and postdocs) wanted to be rich. Almost no one raised their hand. He claimed that MIT, almost everyone raised their hand. He told us that the young should not go into policy, that was something for later in one's career if you still wanted to do it. I don't recall the exact reason. Overall, he was very matter-of-fact and blunt, with strong opinions.

The second panelist was a Eastern European woman who worked in the bioweapons office. She emphasized that her PhD had nothing to do with bioweapons. The most interesting thing was that she was also in the Army reserve and had officer rank. But because of her Eastern European background and accent, people didn't believe that she was in the Army. They asked "which army?" She remarked that she felt just as loyal to the US as anyone else, because she had to swear allegiance twice -- first to become a US citizen, then to join the Army. She also made a comment about Eastern Europe being very different than America. For example, the joke is that if an officer tells a US soldier to jump, the soldier say "how high?" An Eastern European soldier would ask "why?"

The last panelist was a guy who works with scientists from many fields. He gave the example of having a discussion about weapons with a biologist, chemist, and physicist. His job was to bring everyone together and synthesize the different ideas and perspectives. He had a very unusual background. He was half-Hispanic and half-German and grew up on the West Coast. His father was a rocket engineer so he grew up learning about rockets. But he never actually studied engineering in college. He stressed the importance of learning different subjects. He himself felt that his study of jazz in college really helped him become a good thinker, even though the subject seems to have nothing in common with science. (I emailed him a few days after the panel and he said it's important to have hobbies not just because they make you smarter, but also for the sake of your sanity.) He also said that a while back, he was on a job panel and when the panelists compared notes, they realized that they had never planned their job path. Stuff just happened. They had no idea what they were doing at the time; only looking back retroactively, could they construct a "logical" path. He recommended just doing whatever you find interesting instead of scheming some plan to work your way to the top.

To summarize, here are some of the most interesting (and subjective) things I learned:
  • Cyberstalk as much as possible to get a job.
  • For many people, phone calls are easiest very early in the morning.
  • Don't do policy when you're young.
  • If you enjoy studying peripheral seemingly useless subjects, don't worry. They'll be surprisingly useful in subtle ways.
  • There is no coherent job path. So just do whatever you find interesting. Life is too short.

07 May 2012

Thought of the day: Becoming an autodidact

I've found that the most useful skill to develop is the ability to teach myself. Recently, I found out that the term for this is "autodidact." I wonder if teaching oneself has general principles itself. Here are some of the methods I use to teach myself:
  1. What is universal? What are the most important concepts?
    This is a typical physicist perspective. For example, for photography, I might say the important ideas are light and shadow, the quality of light (diffuse or harsh), warm vs cool colors.
  2. How is this field different from similar fields?
    In physics, we tend to be concerned with finding clean, beautiful, logically consistent mathematical rules for explaining nature. In biology, people are trying to model complicated, messy, real systems.
  3. What is the progression?
    You want to identify where to start, where to end, and how to progress in between. If you don't have a progression, you have no idea how far you have to go or what you've accomplished and it's easy to become frustrated. To learn hockey, you start with skating, then progress to stickhandling and shooting, and finally tactics and teamwork.
  4. Read interviews with important people in the field.
    They'll identify what's important. I learned a lot about narrative and character by reading interviews with distinguished actors.
  5. Listen to what people in the field say or read forums.
    This is a bit trickier because you have to find the right people -- hopefully intelligent, articulate types. This might not be easy. I read theater forums sometimes. I found one forum where people frequently trash shows (though there were some insightful comments if you sifted the wheat from the chaff). The Sondheim specific forum was better because people were more interested in analyzing the shows than shoving their opinions down people's throats.
  6. Find a partner.
    I've never done this, but if you can find someone at a similar level and you get along well, this could be dynamite. You can hang out together, support each other, inspire ideas, etc. I guess this is not being an autodidact, but who cares.
If you try to learn several unrelated fields, you'll start to see patterns and that will make it easier to pickup more subjects.

23 March 2012

Learning from other fields and cross-training

As I get older, I feel like scientists aren't really good at anything except science. Not that this is entirely surprising or that we should expect scientists to be amazing writers, speakers, etc. But if you're a scientist, you spend all your time immersed in the scientific community, thinking that the quality of writing or presentations that you see there are really the way things should be... well, you should go look at essays in the New Yorker or The Atlantic, or watch TED speakers or theatre performers or standup comics. The professionals of every field tend to have their strengths and weaknesses. If you want to shore up your weaknesses, go look for a field where that particular weakness is a strength, learn from those people, and use them as your inspiration. If you look outside your field, I think you'll have a huge leg up over others.

In sports, we call this cross-training. Athletes have no problem taking up yoga to help their hockey goaltending skills, for instance.

27 February 2012

Thought of the day: Speculation on why the public has no interest in science

I haven't made any progress figuring out ways to convince the public that science is cool or worth learning. So I thought I'd do the opposite and list all the reasons why science is such a tough sell with the public.
  1. Science is hard and takes a lot of time to learn. It requires sequential knowledge. You need to know math before you can tackle any scientific subject and that alone is a huge hurdle. Most people learn science and math for one of the following reasons: a) their parents said it was important, b) if they don't do well in those subjects, they won't get into Harvard, c) it was a relatively easy subject for them and made them feel smart. Deep ideas in science aren't typically taught until college (maybe even graduate school), so you have to brainwash people until you can get them to the point when they know enough to appreciate the beauty of science. How many kids have you met who sincerely want to grow up and be a scientist? There are only a few sexy scientific endeavors. The ones I could think of are inventing cures for diseases and going to space. Sports and performing arts look cool, even to a five year old kid. Watching a scientist pipette or sit at a computer does not look cool.
  2. People can get away with not knowing any science in their daily lives. They don't need to navigate ships at sea, write computer programs, or farm their own food. There's a mass-produced machine or product to do anything they desire or need. At worst, they can hire a repairman. Yes, science is taken for granted... until the next celebrity comes down with a life-threatening illness.
  3. Let's face it, people want fun, fame, and money. Fun has been eliminated in item #1. Scientists are not famous unless they build atomic bombs, cure caner, or invent a limitless energy source. I guess there is some money to be made in science (even if we don't consider technology companies like Google). For some reason, the idea of scientist as the money-making profession only seems to resonate with Asians.
  4. The practical uses of science consist of either a) modeling the world and using the models to make predictions or b) testing designs by experimentation. Modeling is abstract and not people friendly. You need to know math (it rear its ugly head again!) Experiments? Yes, you can build cool stuff and write nifty code. But it's hard to get into that stuff when the chemicals they used to have in educational kits are banned; schools don't have the budget for equipment or don't want to be liable; there are more interesting distractions like TV, video games, internet, Facebook.
These are just a few "guesses." I don't have any research to back this up.

02 February 2012

Link of the day: "To know, but not understand"

I liked the essay "To know, but not understand" by David Weinberger in The Atlantic. Weinberger discusses one of the major shifts in science today -- the data deluge. Here's the issue in a nutshell:
In 1963, Bernard K. Forscher of the Mayo Clinic complained in a now famous letter printed in the prestigious journal Science that scientists were generating too many facts. Titled Chaos in the Brickyard, the letter warned that the new generation of scientists was too busy churning out bricks -- facts -- without regard to how they go together. Brickmaking, Forscher feared, had become an end in itself. "And so it happened that the land became flooded with bricks. ... It became difficult to find the proper bricks for a task because one had to hunt among so many. ... It became difficult to complete a useful edifice because, as soon as the foundations were discernible, they were buried under an avalanche of random bricks."
And that letter is from 1963! Weinberger points out that thanks to computer power (Moore's Law) and cheap digital storage, we have even more data than we know what to do with. But as much as it seems like computers are the problem, they might also be the solution. He talks about modelling science, which uses computers to perform simulations and software like Eureqa which looks for patterns in data and generates equations to encapsulate those patterns. Of course, this isn't as satisfying as Maxwell's equations and the like, but it looks like this is something we'll have to live with. As Weinberger states,
The world's complexity may simply outrun our brains capacity to understand it.

21 January 2012

Improving the public image of science

I think sometimes about how to improve the public image of science. There are a million things going on in people's lives, things that worry them; children have so many ways of occupying their time, whether it's sports, Facebook, or video games.

I want people to believe that science literacy is important the way that reading is. You wouldn't tell someone you can't read. Yet people have no problem saying that they're "not good at math."

I want to see people doing amateur science whether it's on the computer, looking at stars, or performing experiments. I see all these people buying $500+ dSLR cameras. Thanks to the advances in digital photography and the huge drop in the price of equipment, anyone is capable of taking pro level photos if they work at their skills [1].

Some ideas I have
  1. Take better photos of scientists. I've never really seen many good portraits of scientists [2]. On that note, why can't we make a documentary or a music video that will convince people that scientists are heroes?
  2. Get the public more involved in science. Make them feel like they can make a contribution.  We need more initiatives like Galaxy Zoo.
  3. Find ways to get children more interested in science. Maybe high school kids could be allowed to write software for the library. Have kids do Make Magazine projects.
  4. Show people how they can use science and math to great benefit in their lives. I have to admit, I don't really know how to do this. I've always liked how you can use statistics to expose cheating in polls and things of that nature.
[1] Not that I'm saying amateurs are actually pros.  The professionals can take a much higher percentage of good photos than an amateur can.
[2] This one from the New York Times is not bad for an environmental portrait.

19 November 2011

Unexpected conversations in the medical library

I had heard about a new exhibit in the medical library. It's based upon the collection of a famous American neurosurgeon who lived around the turn of the 20th century. I visited at the spur of the moment, since I had just finished a workshop in the same building. There were hundreds of jars containing brains and brain tumors, even a technical document by the architectural firm that designed the exhibit. When I was about to leave the exhibit, a woman approached me and asked me if she could answer questions about the exhibit. She had been giving a tour while I was looking around.

Looking back, it was a serendipitous conversation. I didn't expect to run into an artist who was working on the exhibit and who taught photography at the art school I had attended (she doesn't teach there anymore). She was an exceptional conversationalist. She was receptive, open-minded, and kept the focus of the conversation on me for the first ten minutes. Can you think of anyone who does that? I can't.

I asked her why put so much effort into this exhibit. She said that a lot of medical collections like this have been thrown away. So it's important to preserve this particular collection.

I also asked her a lot of questions about photography. She told me that if you are a good wet lab printer, you'll be a good digital printer. The terminology is the same. She showed me some prints she made for the exhibit and I couldn't tell the difference from the silver nitrate prints (the gold standard for film). The quality is that good.

She made some interesting remarks about art education. I told her about how frustrated I felt when learning how to draw. I always felt like my work wasn't very good. She said that her friends in art education find that even children are expressing the same "I'm-not-good-enough" attitude by fifth grade. She also mentioned that today's children are constantly presented with processed 2D images on a screen, to the point that they don't know how to think spatially before. Drawing is the process of observing a 3D scene, interpreting it, and rendering it on a 2D surface. This makes me think that more kids should learn drawing.

We spent a long time talking and I'm grateful that she took the time to enlighten me.

17 November 2011

Link of the day: Khan's Academy

Lately, I've tired of TED talks. They were bold and exciting when they first appeared online (3-5 years ago?), but now people just seem to be selling their ideas whether they are merely good or truly brilliant. It's important to have inspirational meetings, but I think they should also be authentic and realistic.

There is one recent TED talk that I do like very much. Salman Khan, a former hedge fund analyst, spoke about how video can re-invent education. Originally, Khan recorded videos to help tutor his cousins in math. He posted the videos on YouTube and left them publicly available, in case someone else might find them useful. His cousins told him that they preferred their "virtual" cousin on video than the real thing! They found the video less intimidating because they could stop and repeat it without appearing stupid; they could learn at their own pace.  Other people discovered Khan's videos and gave him so much positive feedback that he quit his finance job and started producing videos all the time. (Khan does all the math and science videos, and he hired experts to do the videos on humanities subjects.  The scope of this project is astounding: 2000+ videos.)

That alone would have been an outstanding accomplishment, but Khan didn't stop there.  He tried to track learning outcomes.  He associated each video with a particular concept and made tree diagrams showing which concepts were prerequisites for other concepts.  Khan calls this a "knowledge map."  Students can work on modules.  When they get enough problems from the module correct, they can move onto another module.  When they master the prequisite modules, they can move on to a more advanced module, and so on.


This systematic tracking of the student's progress is invaluable to a teacher in charge of 30 students.  The teacher can see how the class is doing.  Moreover, if a student is struggling with a particular module, the teacher can find another student who mastered it and have that student teach the other one.  Peer learning!  (I discussed this topic in an earlier post about a Harvard professor struggling to teach first-year physics.)  Now, at least one school district (in Los Altos, California) is trying out Khan's system in the classroom.

When the system was used in the classroom, it showed that different people find different concepts easy and different concepts hard.  In Khan's words:
Because every time we've done this, in every classroom we've done, over and over again, if you go five days into it, there's a group of kids who've raced ahead and there's a group of kids who are a little bit slower. And in a traditional model, if you did a snapshot assessment, you say, "These are the gifted kids, these are the slow kids. Maybe they should be tracked differently. Maybe we should put them in different classes." But when you let every student work at their own pace -- and we see it over and over and over again -- you see students who took a little bit extra time on one concept or the other, but once they get through that concept, they just race ahead. And so the same kids that you thought were slow six weeks ago, you now would think are gifted. And we're seeing it over and over and over again. And it makes you really wonder how much all of the labels maybe a lot of us have benefitted from were really just due to a coincidence of time.
I found this very interesting.  I'm guessing that a lot of teachers and coaches know that student learning is much more complicated than "gifted" and not gifted.  It's nice that Khan can actually provide hard evidence establishing this fact.

Khan's work is amazing and inspiring. I do have a few questions. Using technology to tailor education is not a new idea. Why did Khan succeed? Is it because students are more comfortable with technology compared to students of the past? Why is video better than a textbook? A textbook is also non-intimidating and self-paced.  Maybe it's because Khan is a great tutor who is both a talented teacher and entertainer?  (I briefly viewed one of his videos and he seemed funny and charismatic.)  In an ideal world, each student would have a one-on-one tutor.  This isn't realistic.  However, if we have a great tutor like Khan and he makes free videos available to anyone on almost every possible math and science topic from kindergarten to high school, this tutoring database is a pretty good, though imperfect solution.  It's reminiscent of an idea in artificial intelligence.  You can have a computer that isn't smart in the human sense, but if you program it with an astronomical amount of information, it can be very useful.

I think that doing online homework is becoming more popular as teachers realize that there is simply not enough time in the classroom to do everything.  There are a lot of things students can do on their own with a "computerized" tutor.  By "outsourcing" this teaching and doing it outside the classroom, the human teacher has more time to teach things that are hard for computers.  Like having students discuss problems together.  Or showing how many seemingly disparate concepts unify into a larger concept.  Or doing hands-on science experiments.  I know that for first-year physics courses, some universities assign online homework several times a week.  This forces students to read the book and work on problems at home so that the lecturer can spend time explaining concepts rather than writing 20 equations on the blackboard.

What Salman Khan is doing is incredible work and I wish him the very best.

10 November 2011

Where does the future of American innovation lie?

Our department chair send out a personal email telling us to attend a special event.  A prominent former head of a major government agency was visiting and the chair, being a personal friend, persuaded him to come talk to grad students and postdocs about careers.

As expected, he was opinionated but sincere and charismatic.  He thought that American innovation will come from startups, not government or academia.  In his opinion, government is paralyzed by interpersonal politics and it is so difficult to get grants in academia (average age of first NIH grant is 43).  Scientists, especially postdocs, are encouraged to do incremental work, rather than something revolutionary.

I asked a question about why it seemed like all the startups were internet software companies.  He said it has to do with scale.  It is much easier to be an internet startup than a startup that has to build something (e.g. clean energy).  The internet startup only has to pay for office space, computers, and salaries.  Since their product is available on internet, there is a huge multiplication factor, as everyone has a computer and a smartphone.  A clean energy startup could take ten years to become profitable.  The key to building a successful startup is that you need to beat a well-established company by an order-of-magnitude, whether that is price or efficiency.

He talked a little about his experience working in government.  He was rather frustrated with how much money is wasted in space science and exploration.  The problem is that the American public doesn't believe anyone should die in exploration or war.  They have to spend money to ensure the safety of astronauts to an extreme degree.  That's why he eventually quit.  Because the stress of being responsible for space shuttle launches was overwhelming.

Yet, he though highly of people who worked in government.  He told us rather emphatically, "If the president asks you to work for him, you should say yes!"  As the discussion wound down, he said "Let me end by telling this story... " (Such a polished, prepared guy that he had a heart-warming story for the end.)  He went to USSR in 1991 to talk with the Soviet space agency.  While he was there, the coup d'état started.  There was shooting and tanks everywhere.  He became alarmed and tried to contact the American embassy.  They said they couldn't help because people were shooting into the windows of the building.  He tried to contact the White House and ask the president what to do.  Meanwhile, he found the pilot and asked him if he could fly them out.  The pilot said that if he took everyone, including all the staff, they wouldn't have enough fuel to get to Helsinki.  He asked the pilot to take out the seats and they found that this reduction of weight would be sufficient.  Eventually, he was told that the president would appreciate it if he stayed as a show of support for democracy.  He apprised his staff of the situation and told them it was their personal choice whether to go or stay.  Everyone stayed.  Then he asked the Soviet space agency director if they were still going to hold their discussion.  The director acted like it was any other day and they got the deal done.  If you're not a complete cynic, I would call that a beautiful patriotic moment.

06 November 2011

Physics as a subject for a kids comic book and how to get kids interested in science

For several years now, I've wanted to write a physics comic book with the goal of getting kids interested in science. The problem is that I just don't have a good idea how to do it. I need a really great idea because a comic book has to compete with TV, video games, internet, and all the other entertainment children are exposed to in the modern world.

I'm starting to feel like physics is simply not a good subject for a kids comic book. Anything that is abstract like physics will be difficult to pick up quickly and therefore you need to be able to play with it, experiment. Programming is abstract but lots of kids pick it up because you can write code and run it immediately. You can quickly progress to the point where you can make images fly across the screen. You know if the program works, because either the image flies across the screen or it doesn't. Instant feedback. That is fun, exciting, and addictive (in a good way). When you do a physics problem and you get an answer, it's very difficult to know if your answer is correct or if it makes sense. You could do a real physics experiment, but physics experiments are notoriously difficult to do right and require special equipment. I was always amazed in high school at how much equipment we needed to do simple experiments let measuring the velocity of an object moving along a track. When you do a chemistry experiment, you mix two solutions and the color changes. You can see or feel the result qualitatively. Physics experiments require too much precision; you actually have to measure the exact numbers to see if you're doing it right.

I'm starting to think that if you want to get kids interested in science and engineering without much equipment, the appropriate subjects are programming and math. I've already discussed programming. You can come up with all sorts of interesting math problems at all different levels. You can get a sense of whether your answer is correct by plugging in numbers. For geometric problems, you can often solve them by drawing pictures. Best of all, you don't have to worry about equipment failing in your experiments. Mathematics isn't constrained by the physical world, so there are lots of different ideas you can talk about, whereas in physics you are stuck discussing Newton's laws, Maxwell's equations, etc. For older kids who want to do something hands-on, I would recommend electronics. The parts are small and you don't need to go a machine shop.

23 October 2011

Thought of the day: Why is scientific writing so bad

A frequent complaint about scientists is that they are generally bad writers. I was wondering why that is so. One reason is that we simply tolerate bad writing. We let people get away with it. You can imagine that if people's papers were rejected from journals due to poor writing, they would improve their writing in a hurry. The scientific establishment doesn't value good writing enough. Another reason (I speculate) is that scientists don't expose themselves to good writing. They don't read literary works or essays that are the quality of The Atlantic [1].  So they have no idea what good writing is like. The poor quality of scientific writing certainly doesn't help.  I've attended some wonderful writing seminars and they seem to attract people who are already decent writers.  They know what good writing is like.  But where are the people who need help the most?

I think the best way to address this problem is to require students to spend time learning how to write, from a specialized writing teacher. Most advisors are probably bad writers themselves or they have no idea how to teach their students. Advisors have too much work to do; they don't have time to teach people how to write. Frankly, teaching writing is time consuming and tedious. My experience with professors is that their "writing instruction" consists of telling students, "I don't like X. Change it to Y," with no explanation. This is not teaching. Some students who are bright or already good writers will figure out what the professor really meant, but most people need an explanation of "why." Otherwise, they will simply make the same mistake in the future.

[1] The Atlantic is just an example.  I'm not implying it's the best magazine or my favorite.

01 September 2011

Thought of the day: Can you teach a computer good taste?

I don't know much about artificial intelligence or learnabilty, but it's fun to think about what a computer might be able to learn. One characteristic that separates a novice from an expert is "good taste". (I first heard of this idea from a Paul Graham essay.) Supposedly, "good taste" is something that is not a characteristic that is easy to acquire quickly, unlike simple "knowledge." Then it would be a interesting challenge to see if a computer could learn good taste. If it's hard for humans, it would be probably be even harder for computers. Scientists already have enough trouble in machine vision research, getting computers to see things that humans find obvious.

11 August 2011

Link of the day: "Maths busking"

A huge problem in science is how do you get laypeople interested in science? (I'm using science as a blanket term which includes engineering, natural science, and math.)

Most of the popular books and media written about science are only interesting to people who already enjoy science and those people are only a small fraction of the world's population. If we truly want to make science mainstream and boost science literacy, we need a way to reach "regular" people.

Enter "Maths Busking" -- a really cool project whose goal is
Maths Busking aims to show the public the surprising and fascinating side of mathematics through the medium of street performance.
You can also see some video of their street performances.

31 March 2011

A physicist encounters the curious laywoman

While at a recent physics conference, I met a 54 year old Southern woman who asked me lots of questions about what physicists do and whether physics had anything to say about the existence of God. I was trying to grab a quick dinner in the hotel sports bar and she was at the same hotel for a homeowner's (?) conference. We talked for an hour. She seemed a little drunk because she'd forget facts I had told her. Sometimes she didn't seem to quite understand what I was trying to tell her. Nonetheless, I did my utmost be respectful and sympathetic and I think I did a good job for public relations between physicists and the public. She thanked me many times for taking the time to talk to her.

Later, I described this episode to a physicist friend and he thought the fact she asked me the "existence of God" question shows that the public doesn't know anything about the boundaries of scientific inquiry. In his opinion, it would be like asking "are there any paintings that are unartistic?"

So maybe ... because of the abstractions and the high level education required to experience scientific research, the public doesn't have any intuition for what questions scientists ask. Or maybe it was legitimate of her to ask about God and physics? I'm not sure.

06 December 2010

Song of the day: "Experiment" by Cole Porter

Finally, a song loosely about science written by a real songwriter, and not just any songwriter... one of the greatest American songwriters in history, Cole Porter! (If you watch the movie "It's Delovely," you might guess what the characters think the song is about.) My PhD advisor really likes this song.
Before you leave these portals,
to meet less fortunate mortals,
there's just one final message I would give to you.

You all have learned reliance,
on the sacred teachings of science.
So I hope through life you never will decline,
in spite of Philistine defiance.
Do what all good scientists do.

Experiment.
Make it your motto day and night.

Experiment.
And it will lead you to the light.

The apple on the top of the tree
is never too high to achieve.
So take an example from Eve,
experiment.

Be curious,
though interfering friends may frown.

Get furious,
at each attempt to hold you down.

If this advice you always employ,
the future can offer you infinite joy
and merriment.

Experiment,
and you'll see.