Richard Sear

Puzzling crystals in the drizzle

The life of an academic involves a certain amount of travel, in my case to Manchester in January. This as glamorous as it sounds, the drizzle has been unrelenting. Although on the bright side I was able to finish my talk for tomorrow in the Lass o Gowrie, which I can recommend; friendly barstaff, and the Citrus IPA was good. Tomorrow, I am going to give a talk about growing crystals, in particular growing crystals of a small molecule called glycine. We* studied the glycine molecule because when crystallised from water, it forms not one but two types of crystals.

How lucky are you feeling?

cumul_rich I am rewriting a computational modelling project on modelling the stock market, so I am doing a bit of background reading. Fortune’s Formula by William Poundstone is a good general-interest description of some work from the 1950s onwards, on developing models for both the stockmarket, and gambling in casinos. In terms of mathematical modelling, gambling (aka investing) in the stock market, and gambling in casinos are almost the same — the aim is the same in both: maximise the money acquired while minimise the risk.

Redistribution in UK universities, from wealthy overseas parents to the British taxpayer and to charities

Universities that do research as well as teach, like Surrey, are funded from many different sources, and their finances are complex. But roughly two-thirds of the money the Department has to pay my salary comes from student fees and government funding for teaching, leaving one-third of my salary to be paid for from research income. The distribution of my time between teaching and research is maybe half-and-half*. Teaching is subsidising research, in the sense that student fees are paying my salary for some time when I am doing research.

Gambling with £9,000

p_rich Teaching for semester one has just ended. Almost all the undergraduates have left, and so campus is quiet in the run up to Christmas. But although the pressure is off (thankfully!), there are still things to do. In particular, I want to improve semester-two’s computational project on modeling the stock market. The current version is very popular with the students, but many of them slightly run out of steam when they do it, so I think there is room to improve it. The plot above shows some results for some calculations I am doing to scope out a new project.

My most cited paper of the last two years is wrong

Academics are assessed in a number of ways, and one proposal that keeps coming up to assess us is via citations. The idea being is that if nobody cites your work (i.e. refers to your paper in their paper) you must be doing boring work, but if your paper is being cited by many others then it is clearly popular so must be good. And almost whenever someone suggests this, it is pointed out that papers that are obviously wrong can be highly cited, particularly if they are published in a prestigious journal. This is a fair point. For example Wolfe-Simon et al.‘s Science paper of 2011 has been cited over 400 times, and is clearly wrong, as a number of the citing articles state.

Picking a language

One of the thorniest questions in the teaching of physics at degree level, is which computer language to teach. There is no consensus on this, and I am not sure that there will every be. Getting everyone to agree on the best computer language to teach at first year would be harder than getting everyone to agree on a favourite ice-cream flavour. However hard you tried there would always be one person holding out for pistachio.

The News of Radio

“The News of Radio” was the title of a 1948 article in the New York Times that started “Two new shows are announced by CBS to serve as summer replacements for the hour-long Radio Theater on Monday evenings… “. Nine paragraphs later the article got round to announcing what arguably turned out to be the most important invention of the 20th century: the transistor. The transistor is the solid-state switch at the heart of the silicon chips in computers, mobile phones and indeed all the rest of modern electronics. I am not sure what it says about how societies in general or newspapers in particular, react to new world-changing technologies, but I think it is pretty funny that the announcement appeared in paragraph 10 of an article on page 46.

Fools ignore complexity. Pragmatists suffer it. Some can avoid it. Geniuses remove it.

The title is a quote from the pioneering computer scientists, Alan Perlis. I confess that until last week I had not heard of either Perlis or this quote, but I like the quote very much. I still don’t know much about Perlis.

Impact on the heart

One of my tasks in the department is to coordinate our preparation for the UK government’s REF2021 exercise. In 2021 the UK government will assess research (not teaching which is done separately) in UK universities. REF is hugely important, it determines real money, league-table position, and reputation — three things that really matter to universities. Which is why I am in meetings about this four years in advance :(.

Google knows a lot, but it only just about knows that women do physics

Capture I am tweaking (someone else’s set of) slides for a schools careers talk. Tomorrow Farnborough College have a careers day, and it is my job to tell the students about what physics degrees and careers have to offer. Most of the students will not have a scientist or engineer in the family, as I didn’t when I was their age. So they may have very little idea of what scientists and engineers do, or what careers science and engineering graduates do if they leave science and engineering on graduation, as many do. Tomorrow, I hope to demystify this, and help them make good decisions.