I’ve just been through two days of tutorials at SciPy 2014–that stands for Scientific Python (the programming language). The last conference I went to was Theorizing the Web 2014. I wonder if I’m the first person to ever go to both conferences. Since I see my purpose in grad school as being a bridge node, I think it’s worthwhile to write something comparing the two.
Theorizing the Web was held in a “gorgeous warehouse space” in Williamsburg, the neighborhood of Brooklyn, New York that was full of hipsters ten years ago and now is full of baby carriages but still has gorgeous warehouse spaces and loft apartments. The warehouse spaces are actually gallery spaces that only look like warehouses from the outside. On the inside of the one where TtW was held, whole rooms with rounded interior corners were painted white, perhaps for a photo shoot. To call it a “warehouse” is to appeal to the blue color and industrial origins that Brooklyn gentrifiers appeal to in order to distinguish themselves from the elites in Manhattan. During my visit to New York for the conference, I crashed on a friend’s air mattress in the Brooklyn neighborhood I had been gentrifying just a few years earlier. The speakers included empirical scientific researchers, but these were not the focus of the event. Rather, the emphasis was on theorizing in a way that is accessible to the public. The most anticipated speaker was a porn actress. Others were artists or writers of one sort or another. One was a sex worker who then wrote a book. Others were professors of sociology and communications. Another was a Buzzfeed editor.
SciPy is taking place in the AT&T Education and Conference Center in Austin, Texas, near the UT Austin campus. I’m writing from the adjoining hotel. The conference rooms we are using are in the basement; they seat many in comfortable mesh rolling chairs on tiers so everybody can see the dual projector screens. The attendees are primarily scientists who do computationally intensive work. One is a former marine biologist who now does bioinformatics mainly. Another team does robotics. Another does image processing on electron microscope of chromosomes. They are not trying to be accessible to the public. What they are trying to teach is hard enough to get across to others with similar expertise. It is a small community trying to enlarge itself by teaching others its skills.
At Theorizing the Web, the rare technologist spoke up to talk about the dangers of drones. In the same panel, it was pointed out how the people designing medical supply drones for use in foreign conflict zones were considering coloring them white, not black, to make them less intimidating. The implication was that drone designers are racist.
It’s true that the vast majority of attendees of the conference are white and male. To some extent, this is generational. Both tutorials I attended today–including the one one on software for modeling multi-body dynamics, useful for designing things like walking robots–were interracial and taught by guys around my age. The audience has some older folks. These are not necessarily academics, but may be industry types or engineers whose firms are paying them to attend to train on cutting edge technology.
The afterparty first night of Theorizing the Web was in a dive bar in Williamsburg. Brooklyn’s Williamsburg has dive bars the same way Virginia’s Williamsburg has a colonial village–they are a cherished part of its cultural heritage. But the venue was alienating for some. One woman from abroad confided to me that they were intimidated by how cool the bar felt. It was my duty as an American and a former New Yorker to explain that Williamsburg stopped being cool a long time ago.
I’m an introvert and am initially uneasy in basically any social setting. Tonight’s SciPy afterparty was in the downtown office of Enthought, in the Bank of America building. Enthought’s digs are on the 21st floor, with spatious personal offices and lots of whiteboards which display serious use. As an open source product/consulting/training company, it appears to be doing quite well. I imagine really cool people would find it rather banal.
I don’t think it’s overstating things to say that Theorizing the Web serves mainly those skeptical of the scientific project. Knowledge is conceived of as a threat to the known. One panelist at TtW described the problem of “explainer” sites–web sites whose purpose is to explain things that are going on to people who don’t understand them–when they try to translate cultural phenomena that they don’t understand. It was argued that even in cases where these cultural events are public, to capture that content and provide a interpretation or narration around it can be exploitative. Later, Kate Crawford, a very distinguished scholar on civic media, spoke to a rapt audience about the “conjoint anxieties” of Big Data. The anxieties of the watched are matched by the anxieties of the watchmen–like the NSA and, more implicitly, Facebook–who must always seek out more data in order to know things. The implication is that their political or economic agenda is due to a psychological complex–damning if true. In a brilliant rhetorical move that I didn’t quite follow, she tied this in to normcore, which I’m pretty sure is an Internet meme about a fake “fashion” trend in New York. Young people in New York go gaga for irony like this. For some reason earlier this year hipsters ironically wearing unstylish clothing became notable again.
I once met somebody from L.A. who told me their opinion of Brooklyn was that all nerds gathered in one place and thought they could decide what cool was just by saying so. At the time I had only recently moved to Berkeley and was still adjusting. Now I realize how parochial that zeitgeist is, however much I may still identify with it some.
Back in Austin, I have interesting conversations with folks at the SciPy party. One conversation is with two social scientists (demographic observation: one man, one woman) from New York that work on statistical analysis of violent crime in service to the city. They talk about the difficulty of remaining detached from their research subjects, who are eager to assist with the research somehow, though this would violate the statistical rigor of their study. Since they are doing policy research, objectivity is important. They are painfully aware of the limitations of their methods and the implications this has on those their work serves.
Later, I’m sitting alone when I’m joined by an electrical engineer turned programmer. He’s from Tennessee. We talk shop for a bit but the conversation quickly turns philosophical–about the experience of doing certain kinds of science, the role of rationality in human ethics, whether religion is an evolved human impulse and whether that mattes. We are joined by a bioinformatics researcher from Paris. She tells us later that she has an applied math/machine learning background.
The problem in her field, she explains, is that for rare diseases it is very hard to find genetic causes because there isn’t enough data to do significant inference. Genomic data is very highly dimensional–thousands of genes–and for some diseases there may be less than fifty cases to study. Machine learning researchers are doing their best to figure out ways for researchers to incorporate “prior knowledge”–theoretical understanding from beyond the data available–to improve their conclusions.
Over meals the past couple days I’ve been checking Twitter, where a lot of the intellectuals who organize Theorizing the Web or are otherwise prominent in that community are active. One conversation extended conversation is about the relative failure of the open source movement to produce compelling consumer products. My theory is that this has to do with business models and the difficulty of coming up with upfront capital investment. But emotionally my response to that question is that it is misplaced: consumer products are trivial. Who cares?
Today, folks on Twitter are getting excited about using Adorno’s concept of the culture industry to critique Facebook’s emotional contagion experiment and other media manipulation. I find this both encouraging–it’s about time the Theorizing the Web community learned to embrace Frankfurt School thought–and baffling, because I believe they are misreading Adorno. The culture industry is that sector of the economy that produces cultural products, like Hollywood and television productions companies. On the Internet, the culture industry is Buzzfeed, the Atlantic, and to a lesser extent (though this is surely masked by it’s own ideology) The New Inquiry. My honest opinion for a long time has been that the brand of “anticapitalist” criticality indulged in on-line is a politically impotent form of entertainment equivalent to the soap opera. A concept more appropriate for understanding Facebook’s role in controlling access to news and the formation of culture is Habermas’ idea of steering media.
He gets into this in Theory of Communicative Action, vol. 2, which is underrated in America probably due to its heaviness.