On Lies, Secrets, and Silence. Selected Prose 1966-1978

Adrienne Rich (1979)

I was brought to this book through one of the essays in it, Claiming an education, that talks about the need for students (and especially women students) to actively claim their educations rather than passively receive them. I still think this is the most powerful element of this collection, but there’s lots more to engage the reader.

It’s not an easy collection for a man to read, not least because of the sense of powerlessness it evokes – which is ironic, given that many of the essays are replete with the power of patriarchy and men’s dominance of women. But there’s a powerlessness too, a sense that, as a man, there’s no redemption, no way to help or bridge the gap, no way to avoid being an obstacle that women must struggle against despite your own individual actions and intentions.

Some of the essays are nearly fifty years old, but they’re aged well, and the issues they address are still very much alive. In many ways they’ve broadened beyond being purely women’s issues. It’s easy to read in many of them a rage that any powerless group might feel against any establishment. In some ways Rich’s arguments are occasionally almost weakened by their feminism, in that many men in powerless roles would identify with the feelings she examines. But they give a powerful insight into a feminist perspective on life and education (important for me as an academic), even to elements one might like to think were purely objective.

Some of these perspective don’t translate well to me, for example the notion of women (especially gay women) often having no sense of real identity because they haven’t been realistically represented in literature – the idea being that a gay woman would have no literary role models against which to judge her own feelings and value. As a science-inclined young boy, there were very few good scientist role models in literature either: plenty of “mad scientists”, “evil scientists”, and even overly dedicated and over-rational scientists, but none who did what it is we actually do as scientists. I’m not convinced that this literary lack did much to impact my sense of identity, I can accept that better models might help to make people’s choices more comprehensible to those around them.

4/5. Finished Saturday 21 February, 2015.

(Originally published on Goodreads.)

American Notes For General Circulation

Charles Dickens (1842)

2/5. Finished Tuesday 17 February, 2015.

(Originally published on Goodreads.)

Complex networks, complex processes

I’m writing a book on my sabbatical. Or trying to, anyway. So I thought I’d publicise the fact so people can hassle me to keep at it. I’ve been working on complex systems for a couple of years, especially on complex networks: things like the way people move through a road and rail network, or how diseases spread through social networks. It’s a bit of a change from my previous work on sensor data interpretation, although not as much as you might think: I’m wondering whether we could combine sensing and simulation, to use sensors to confirm predictions or to drive and condition further simulations. Getting into this area has been — and is — a head-wreck. It’s both highly mathematical and highly computational. I understand the computing; the maths, not so much. Many computer scientists would have the same reaction, but conversely, so would many mathematicians: the maths would be familiar, the computing a challenge. So effectively in order to make progress you have to climb two learning curves simultaneously: some unusual and challenging mathematics about stochastic processes, simulated using cluster or cloud computing which poses a lot of challenges even for someone used to programming. This is made harder by the research literature, though, which tends towards sparse mathematical descriptions, which is frustrating at two levels: the computing is probably interesting (to people like me), and it’s hard to re-create the results when the computational approach underlying the graphs and results is unclear. So with this in mind, and because I’ve never done it before, I’ve decided to write a textbook: Complex networks, complex processes. (No, I’m not very imaginative when it comes to titles…) The idea is to link the maths to the code, providing everything a research would need to get started with the maths and the computing. Since this is likely to be a book with, shall we say, limited circulation, I’ve decided not to bother with a publisher and instead make it completely open. You can look at the current state on the web here, download the sources, copy and run the code, or anything needed to get started. It’s a work in progress and it’s not very usual to advertise books before they’re in a fit state to be read, but I suppose that’s just a part of open science: make the process visible, warts and all. It also means I’ll hopefully get comments and encouragement to keep at it when it starts to fall by the wayside of other things I have to do. The goal is to get the majority done while I’m on research leave (until September), and comments on style, content, and progress will be most welcome.

Fully-funded PhD scholarship available

I have a fully-funded PhD scholarship available, tenable from September 2015, to work on data science in medicine.

University of St Andrews

School of Computer Science School of Medicine Funded PhD studentship The Schools of Computer Science and Medicine are looking to recruit a talented student to work on improving clinical trials of tuberculosis and other conditions using computational techniques. TB and related conditions are extremely costly in human and financial terms, and trials of new drugs and therapies are complicated by difficult environmental conditions and other factors. Improvements to the trials process will potentially translate directly into improved interventions, and so will help save lives. We seek to apply data-driven techniques to the design, analysis, and management of such trials. These techniques might include complex networks, computational epidemiology, machine learning, Bayesian analysis, and other cutting-edge approaches to data analytics. The ideal candidate will have an interest in data science applied to medical and biological problems, and an enthusiasm for working as part of a challenging multi-disciplinary project within St Andrews’ new Institute for Data-Intensive Research (IDIR). The studentship will be held jointly between the two Schools, with supervisors from Computer Science (Prof Simon Dobson, Dr Tom Kelsey) and Medicine (Prof Stephen Gillespie, Dr Ruth Bowness).  We offer a stimulating and supportive environment within a small and intimate university in a beautiful setting. The scholarship is fully funded to cover tuition fees and stipend for a registration period normally expected to be three-and-a-half years. Informal inquiries can be made in the first instance to Prof Simon Dobson. Applications will be considered until mid-March.

Goodbye to All That

Robert Graves (1929)

The autobiography of one of the four main English-language poets of the First World War (the others being Wilfred Owen, Siegfried Sassoon, and Rupert Brooke) offers a fascinating insight into the first-hand experience of war – if a less fascinating insight into the poet’s life.

Graves is clear about the trauma, dirt, terror, and suffering of the war. His description of a battle at Loos sums-up the mindlessness of the experience: waiting, anticipation, false starts, screwing-up courage only to be knocked back. It’s hard to imagine anyone going through that and not being exhausted by the adrenaline. On the way he meets Sassoon, as well as Thomas Hardy, TE Lawrence, and various other figures of the literary times.

The rest of the book is less satisfying: his boyhood at Charterhouse perhaps prepared him for the capricious nature of war, in a way, while his later experiences at Oxford and elsewhere added little to my appreciation, apart from summoning-up a vague jealousy at some of his descriptions of intellectual society just after the War: it’s hard to imagine many of the conversations he describes happening now, with their deep classical allusions and assumptions of erudition on all sides.

Least satisfying is that to autobiography of a poet reveals so little about his poetic frame of mind. Graves doesn’t explore the what it means to be a poet, although he alludes to the “poetic tendency” often enough. It’s a surprisingly unrevealing book at a personal level: perhaps less intimately revealing than his poetry itself, in fact, but worth reading for its historical context.

3/5. Finished Saturday 24 January, 2015.

(Originally published on Goodreads.)