Connecting Past, Present, and Future in Literature

Thunderstruck - by Erik Larson

Perhaps it’s the way my brain is wired, but I can’t help but see synergies everywhere. In this case, it’s in some of the books I’ve been reading and how they include nuggets that seem to speak to other stuff I’m doing.

Take, for example, “Thuderstruck ” by Erik Larson. Part of the story is about Marconi and the development of a functional wireless communication system. While I have to admit I haven’t cross-checked the facts in the book, Larson lays out an interesting interplay between the “practical” and “theoretical” research into the technology.

The connection I see is in the playing out of a similar debate within the Data Portability camps. On the one hand there’s the theory of portability from the semantic web, linked data and identity groups. They are similar to Sir Oliver Lodge and his research into wireless from a physicist’s perspective. On the other hand are the members of the DataPortability Project who are working toward a practical solution using existing research. It’s by no means a perfect comparison, but interesting to read about history and consider how aspects of it could be applicable to understanding what’s happening today.

Down and Out in the Magic Kingdom

The other book, “Down and Out in the Magic Kingdom” by Cory Doctorow, talks about the action happening within the context of a future culture of adhocracies. The story is a hilarious discussion of how open, collaborative development can be taken to extremes (along with some amusing lines like “The first time I died, it was not long after my sixtieth birthday.”). While reading it I couldn’t help but imagine how the DataPortability Project would fare under this light.

BTW – It was while reading “Thunderstruck” that I was able to put the labels “practical” and “theoretical” physics in context as they were similarly applied to the term “magic” in “Jonathan Strange & Mr. Norrell“. Great use by Susanna Clarke of contemporary terms being applied to historical fantasy.

NOTE: Even though the links to “Down and Out” above are to Amazon.com (for you wanna’ buy it now junkies), you can also download free versions Doctorow’s site.

Other Books I Recommend:

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Glass Bottle Bubbles Guerrilla Art

Glass Bottle Bubbles If you find yourself walking along Newark Avenue and First Street in Jersey City, NJ, look around. In one of the barren fenced corners you’ll see an interesting installation of guerrilla art. They are glass spheres made by wiring the necks of discarded bottles together in series, each about 2 to 3 feet in diameter.

OK, that’s intriguing enough… but I got some of the back story when talking to Peter Wasinger, the artist responsible. He apparently got the idea for the installation as he walks past the space to and from work each day. Using bottles from a local bar, he then wired the spheres together in his studio and installed them at night (well, actually 4am).

During the installation, he said that passersby made some interesting comments. A group of men walked by and said, “You go Pappi! This is SO New York”. In response, Wasinger replied, “It is now Jersey City too.” They then said “Keep it going, Pappi. You rock!”

You can check out more photos of the installation in my Flickr stream. He’s already working on other installations, and trying to figure out how to light them up. While that’s in progress, you can check out some of his other artwork available on his Cafe Press site.

Keep it going, Pappi.

UPDATE: 2/15/2008 – I just heard from Peter Wasinger (the artist) that the installation was removed by the Jersey City Parking Authority. Bummer setback.

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Data Portability and Consumer Value

Nitin Borwankar put forth a compelling commentary as it relates to Data Portability vs. a deeper Terms of Service (TOS) discussion on behalf of the consumer:

The real problem – The Elephant In the Room – is whether web app vendors “play fair” with my data when it is IN the web app, not whether they “allow” me to take my data and go play elsewhere. There are two major choices for a web app user here, just as for a dissenter in a social structure – “voice” and “exit”. Data Portability focuses only on “exit” and is not just incomplete but massively disempowering to the user of the web app.

He then called out four points he sees as the consumer’s “voice” within a given service:

  • Data Accessability (DA)
  • Data Visibility (DV)
  • Data Removal (DR)
  • Data Ownership (DO)

You’ll probably want to read through his entire post for the full meat (there’s much there), but he sums up with:

In summary, incorporating Data Property Rights into the current conversation completes the picture by adding the web app user’s “voice”. This empowers web apps users and it also seeds new viable business models. For-fee services providing strong user rights without a coercive advertising model will emerge and form a new “data infrastructure” layer of the Internet Operating System – it’s a need that is crying out to be fulfilled. If the dominant players do not want to satisfy this need then market forces amplified by user emotion will disrupt them and we will see once again how the net routes around damage – in this case badly damaged Data Property Rights.

I agree with much of what Nitin is saying here. I see the DataPortability Project story as being a strong part of this picture he’s painting. I understand there are a lot of nuances here between “Data Portability” and his four points, and time will tell what consumers latch onto and how the ball is moved forward.

I believe the world’s moving quickly to a point where content units will be quantized to the degree where they will easily flow between distribution/syndication channels. Perhaps it’ll be driven by something like what people are calling the Semantic Web, basically allowing content units to be self-describing so they can be assembled by consumers and their agents (eg. sites, applications, feeds, etc.).

The value in the relationship with a customer, then, is centered around servicing them. Regardless of the content they’re seeking, companies will want to develop a solid relationship with their consumers. In this model, the long term value to the consumer could be a function of (DA,DV,DR,DO,DP). The trick will be in determining the weighted relationships between each parameter (per each consumer/provider pair).

FWIW – My bet is that there won’t be a one-size-fits-all equation, but rather a range of acceptable values based on context.

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