I’ve been working hard.
I wrote a lot, consolidating a lot of thinking about networked public design, digital activism, and Habermas. A lot of the thinking was inspired by Xiao Qiang’s course over a year ago, then a conversation with Nathan Mathias and Brian Keegan on Twitter, then building @TheTweetserve for Theorizing the Web. Interesting how these things acrete.
Through this, I think I’ve gotten a deeper understanding of Habermas’ system/lifeworld distinction than I’ve ever had before. Where I’m still weak on this is on his understanding of the role of law. There’s an angle in there about technology as regulation (a la Lessig) that ties things back to the recursive public. But of course Habermas was envisioning the normal kind of law–the potentially democratic law. Since the I School engages more with policy than it does with technicality, it would be good to have sharper thinking about this besides vague notions of the injustice or not of “the system”–how much of this rhetoric is owed to Habermas or the people he’s drawing on?
My next big writing project is going to be about Piketty and intellectual property, I hope. This is another argument that I’ve been working out for a long time–as an undergrad working on microeconomics of intellectual property, on the job at OpenGeo reading Lukacs for some reason, in grad school coursework. I tried to write something about this shortly after coming back to school but it went nowhere, partly because I was using anachronistic concepts and partly because the term “hacker” got weird political treatment due to some anti-startup yellow journalism.
The name of the imagined essay is “Free Capital.” It will try to trace the economic implications of free software and other open access technical designs, especially their impact on the relationship between capital and labor. It’s sort of an extension of this. I feel like there is more substance there to dig out, especially around liquidity and vendor- and employer- lock in. I’m imagining engaging some of the VC strategy press–I’ve been following the thinking of Kanyi Maqbela for a long time and always learning from it.
What I need to hone in on in terms of economic modeling is under what conditions it’s in labor’s interest to work to produce open source IP or ‘free capital’, and under what conditions is it in capital’s interest to invest in free capital, and what the macroeconomic implications of this are. It’s clear that capital will invest in free capital in order to unseat a monopoly–take Android for instance, or Firefox–but that this is (a) unstable and (b) difficult to take into account in measures of economic growth, since the gains in this case are to be had in the efficiency of the industrial organization rather than on the the value of the innovation itself. Meanwhile, Matt Asay has been saying for years that the returns on open source investment are not high enough to attract serious investment, and industry experience appears to bear that out.
Meanwhile, Picketty argues that the main force for convergence in income is technology and skills diffusion. But these are exogenous to his model. Meanwhile, here in the Bay Area the gold rush rages on and at least word on the grapevine is that VC money is finding a harder and harder time finding high-return investments, and are sinking it into lamer and lamer teams of recent Stamford undergrads.
My weakness in these arguments is that I don’t have data and don’t even know what predictions I’m making. It’s dangerously theoretical.
Meanwhile, my actual dissertation work progresses…slowly. I managed to get a lot done to get my preliminary results with BigBang ready for SciPy 2014. Since then I’ve switched it over to favor an Anaconda build and use I Python Notebooks internally–all good architectural changes but it’s yak shaving. Now I’m hitting performance issues and need to make some serious considerations about databases and data structures.
And then there’s the social work around it. They are good instincts–that I should be working on accessibility, polishing my communication, trying to encourage collaborator’s interest. I know how to start an open source project and it requires that. But then–what about the research? What about the whole point of the thing? Talking with Dave Kush today, he pointed me towards research on computational discourse analysis, which is where I think this needs to go. The material felt way over my head, a reminder that I’ve been barking up so many trees that are not where I think the real problem to work on is. Mainly because I’ve been caught up in the politics of things. It’s bewildering how enriching but distracting the academic context is–how many barriers there are to sitting and doing your best work. Petty disciplinary disputes, for example.