Reconstruction time again

At a loss for wordsThis week the j-school was abuzz with the conversation successfully  provoked by the publication of a detailed comprehensive report, complete with recommendations, on how to save the endangered species of professional journalists.

One of the report’s two primary authors is my professor Michael Schudson, a thoughtful scholar and a great teacher who is eminently approachable for advice. My friend Dr. C.W. Anderson was the research assistant on the project, and I know he worked pretty hard to make this happen, though he didn’t go on a world tour with the authors.

The report was solid and it managed to gain alot of attention and stir up  a bit of a ruckus. The recommendations seemed reasonable to me, though not quite as radical as I would have hoped…

I have been involved in quite a few conversations around the future of journalism this year, and while there has been a great deal of conversation around how the forms of organization around journalistic production are changing, there has been very little talk about how what’s being produced is changing too.

I am reminded of Bob Stein’s predictions about the Future of the Book. One of his central riffs is his epiphany that the digital book is much less about ebooks and multimedia, and much more about a shift away from the book as a static, finished, complete, object. He imagines a new emergent form in perpetual beta, with multiple authors, and around which revisions, annotations, and communities form. Any of his talks that from the last few years probably picks up on this theme.

While many journalists are talking about producing articles using new media forms, the discussions remind me a bit of the early days of cinema, when they used to film plays.

I’m imaging a shift in journalism towards interactive storytelling, cumulative aggregation, and  distributed collaboration. We have begun to see hints of experiments along these lines in projects like Times Topics, Swiftapp, and Mapping Controversies, but this NPR project profiled last year in CJR really hits the mark: So Cool: How an economic weather map changed the climate. I think these strategies might easily apply to prose, not just data, interactive graphics, and maps.

Comparing journalism with education, will journalism only use new media to create the equivalent of a jazzed up, one-way, lecture? What does interactive story telling even look like? How will we teach the next generation of journalists to create works that are designed to be picked up, re-appropriated, and re-mixed?

With these ideas in mind, I would have loved to see some recommendations in this report designed in anticipation of this future, not merely to prop up yesterday’s decaying models. The patchwork of the future can be best supported by encouraging greater transparency, open licensing, and a culture of collaboration.  What about encouraging open licensing mandates to this foundation support? Mandate the sharing of primary sources? Teach journalists of the future to share, and to learn from their readers? These aren’t all policy recommendations, but I think they need to be thought through and woven into this conversation.

PS – While the future of journalism may be difficult to discern, the future of newspaper suddenly seems pretty clear ;-)

The Interdisciplinary Kissing Problem

websLast week I participated in the architecture school’s visualization seminar and  was treated to a mind-blowing presentation by Tony Jebara, a Columbia Computer Scientist. Jebara is a young associate professor who researches machine learning, graphs, and visualizations, and is also the chief scientist at CitySense.com. His lab “develops novel algorithms that use data to model complex real-world phenomena and to make accurate predictions about them.” They also work on improving the readability of massive volumes of multi-dimensional data, and are currently focusing on making sense of networks of people and places (take a wild guess who else is interested in their work).

CitySense is an application that runs on mobile devices and from their location data…

…builds a network of real places (like the World Wide Web) and a network of real people (like FaceBook) in order to apply online techniques like smart search, recommendation, collaborative filtering, marketing, user clustering and prediction. Today, Sense Networks tracks almost 10,000,000 mobile phones and location devices through partnerships with carriers, device manufacturers, application developers, taxi fleets, and its own subscribers.

The system attempts to discern friendships as well as an establishment’s clientele based on calculations of user’s physical proximity to each other, combined with a growing semantic understanding of places (e.g. all the Starbucks in the city probably have more in common with each other (in some sense) than they do with their geographical neighbours). According to Jebara, the system is already able to infer the types of people who frequent certain nightclubs—students, hipsters, professionals, bankers, tourists—based purely on an analysis of these overlapping networks of millions of human and non-human actors. The cell phone carriers have also used this kind of analysis to reduce “churn”—if one person leaves the network, the carriers respond rapidly by offering promotions the defector’s close network to seal the leak before the damage spreads.

Incidentally, the matching algorithms that Jebara’s lab uses are the same family of algorithms that “power” google ad words, so at least for the time being, despite the captivating sacred geometry, I am sticking with human recommendations ;-)

I left the talk with many questions and reflections:

  • I understand that calculating similarity is the special sauce in any recommendation implementation, but I am somewhat troubled by the conflation of proximity with similarity. Consider the Upper East Side Nanny or the parole officer and the parolee (although hollywood continues to try to convince us of the identity relation between detectives and criminals) – is there something essential being reduced or discarded when we reduce similarity to proximity?

    Is there any room in this model for the “kind” of relationship that motivates the physical proximity? Perhaps something similar to Yahoo/Berkeley TagMaps? Their work requires explicit human input, and is already anticipating feedback effects and users “gaming” the system. Perhaps the network effects CitySense models will disregard much of this “noise,” but, at what social/cultural/political expense?

  • Similarly, I don’t really understand how this algorithm justifies the “distance” calculation. The multi-dimensional spaces they are flattening are incommensurate. Unlike the dimensions of space-time, the spaces described are composed of values, possibly expressing orders of worth in different units that cannot be transformed between each other. What is the Pythagorean theorem really measuring here?
  • How can we do a better job representing more than a 2D scalar representation to users? Provide them with more dials and knobs so they can customize and tune what their view? How can we craft engaging environments that encourage interactive storytelling and help users carve narratives out of databases?

I think it is really important to understand these assumptions and possibly play with them. Would it make a difference if users had access to their own raw data, and understood the digital footprints they were leaving?  It seems quite  important that users understand the inner workings of these systems so they can take full advantage of them, and also not be exploited by them.

As Computer Science takes on more of the characteristics of Architecture and Urban Planning, we need to turn to questions of desire, intent, and purpose.

What impacts do we hope that CitySense will have on social life? Not in a naive deterministic sense, but in terms of catalyzing, facilitating, and favoring certain social interactions over others. What kinds of hypotheses about the kinds of impacts a system like this might have on an urban space? Amazingly, these hypotheses might be testable. How might this system be tuned to increase the odds of these outcomes, once we articulate the mission/purpose of the design?

Finally, what about the promise a tool like this might have for improving the public good? At work we are partnering with the Earth Institute, the School of Public Health, and others on third world development projects that might benefit greatly from the application of these visualizations (RapidSMS, a project tracking malnutrition in Africa comes to mind).

How can we work on balancing the organizational digital divide, and get these kinds of tools – the server side, not the client side – beyond the hands of corporations and letter agencies and into the hands of social scientists, architects, journalists, and educators?

Can we mobilize the student labor to benefit the public good?

Interview: Christopher Mackie on Knight’s Hyperlocal Gambit

Neon vintage micLast week I reflected on the Everyblock.com acquisition. Since then, Knight’s journalism program director has blogged about their perspective on the sale, and some great conversations have continued.  I have also had a wonderful opportunity to discuss the purchase with Christopher Mackie, a program officer at the Mellon Foundation. Chris is the Associate Program Officer in the Research in Information Technology program and is closely involved in Mellon-funded software initiatives.

Here are some excerpts from our conversation:

JB: Thanks so much for taking the time to share some of your thoughts on the recent purchase of Everyblock. As you know, Everyblock is a foundation sponsored, open-source journalism startup that was recently acquired by msnbc.com. Even though the Knight Foundation mandated that all the software they funded was released under an open (GPLv3) license, the future openness of this application is now uncertain. As an important funder of many valuable open source software projects I am wondering if you could share your reactions to this news? How do you feel about the outcome? Did the deal take you by surprise?

CM: Hi Jonah – good to talk with you! Before we start, let me be clear about a couple of things. First, I don’t speak for the Mellon Foundation on this, so all I can share are my own views. Second, I’m by no means the most knowledgeable person around when it comes to intellectual property issues. In fact, I can find several people who know more than I do without even leaving the building at Mellon. What I do have is a particular perspective on IP issues that has been developed in large part from my work with our information technology program. I hope that my perspective is useful, but I wouldn’t want anyone confusing it with either an official Mellon perspective or some sort of consensus view among experts. As far as I can tell, consensus only exists among IP experts on issues that no one cares about.

That said, as I follow the conversation, what appears to be happening with Everyblock is that a number of people are seeing for the first time some issues that have been seen before in other parts of the software space. In the process of thinking through the implications of those developments, they’re reinventing old arguments, most of which are insufficiently nuanced to be valid. Eventually, they’ll work it out, but right now, many people are still looking for too-simplistic answers.

JB: This moment is such a great learning opportunity to teach grantmakers and journalists some really important lessons about Intellectual Property, and the complexities of Open Source software, community, and culture – is there anything specific you think we can learn from this transaction?

CM: Rather than try to parse the many issues individually, let me just suggest a couple of basic principles that I use when I’m trying to advise projects on licensing issues:

First, “the context is more important than the license.” The debate over BSD/GPL tends to take place at a very abstract, ideological level. This is the wrong level: when it comes to licensing, I believe that you really need to get down and grub in the dirt. Licensing decisions are almost always made better when they’re made in a carefully contextualized fashion.

The single most important contextual dimension I know concerns the “organizational complexity” of the product. That’s my own, made-up term to describe the need to integrate your project with other organizational systems, human and software. Organizationally complex software requires significant adaptation or customization in most installations – which implies the need for significant vendor involvement in many installations. A good example of an organizationally complex system is something like a financial system, which tends to have to connect to all sorts of other software and to interact with all sorts of human workflows. Good examples of organizationally simple software are things like a Web browser or a word processor, which ought to work out-of-the-box without any customization or integration.

If you have an organizationally complex product, BSD licenses tend to work better than GPL. Why? BSD licenses don’t scare off the vendors who have to poke around the insides of the product in order to support it, and who worry that their private IP may be compromised by an accidental contact with a GPL’d product’s innards. I’ve seen the arguments about whether this is actually a valid concern, by the way, and I’m not particularly invested in learning the right answer, if there even is one. As long as vendors believe or fear it to be true – and many do – then it might as well be true. Without vendors, it’s hard for an organizationally complex project to thrive, so BSD tends to win out in those sorts of projects.

A second dimension concerns the degree of “market power” held by the users. Market power depends on the ability of users to recognize themselves as having shared interests and then to act on those shared interests. A user community that has market power can issue a credible threat to punish a misbehaving vendor; one lacking market power, cannot. This often isn’t a simple determination; for instance, consider Mozilla. At the core of the Mozilla community, as with most open source communities, is an intense, dedicated group that sees itself as having shared interests and clearly has the will to punish someone who attempts to misuse the Mozilla IP. But do they have the ability? After all, they’re only a tiny fraction of all Mozilla users. The rest are a widely distributed, diffuse group that would never imagine themselves as having much in the way of common purpose, beyond the desire to have a free Web browser. Which constituency matters more in calculating market power? It almost certainly depends on the context.

Some people object to the phrase “market power,” preferring terms like “strength of community” or “trust.” I’m not too worried about what one calls it, but I will say this: once you get past the rhetoric, it mostly boils down to the community’s ability to deliver a credible threat to punish a malfeasant vendor. If the user community ceases to value the project enough to want to defend it against vendor malfeasance, or ceases to be able to act together effectively to deliver that defense, then, however much they value the project individually, it is unlikely to stay open no matter the license.

There are other dimensions to think about, too; for instance, a project having multiple vendors is safer than one with only a single vendor, or none, because non-colluding vendors tend to act in ways that keep each other well-behaved. But those are the biggest two, in my experience so far.

Earlier, you brought up the Sakai and OpenCast projects, both of which have been funded by us (and by other foundations, such as the William and Flora Hewlett Foundation, as well). I believe that these two characteristics are why Sakai and OpenCast, as well as other community source projects, are able to use BSD-style licenses (they actually use the Educational Community License, or ECL, which is almost-but-not-quite the Apache license). Community source software projects produce organizationally complex products deployed by a coherent community of institutions willing and able to exercise market power if needed. For instance, the community of higher education institutions seems to have no trouble understanding their common interest in keeping Sakai’s IP open, even if they’re not Sakai users themselves–and as a group, they seem to have the will and ability to punish vendors that attempt to misbehave. Most vendors sell more than one product into these institutions, so they stand to lose more than they can gain from bad behavior on any single project like Sakai. The result: there is virtually no evidence of significant vendor malfeasance in any of the community source projects, despite the use of a license that in theory allows any vendor to close the code at any time. The closest you can find is the Blackboard patent dispute—which is a challenge to the ownership of the IP, not its licensing, and in which Blackboard has been careful to steer clear of any direct threat to the Sakai community. But would every vendor’s good behavior continue if the community stopped caring about Sakai? I seriously doubt it.

On the other hand, if you have a product which is organizationally simple, as well as having a relatively powerless user community, then get thee to the GPL, because the temptations to steal and close the code just become too great for some vendors to resist. We’ve seen some examples of that, recently, too. Still, don’t believe that the GPL will protect you if your community cannot or will not. If the community is weak enough, nothing can really protect you.

Second, “IP ownership trumps IP licensing.” Some of the commentators on Everyblock that I have read so far are circling around this point, but none has yet followed the logic all the way. All the debate over licensing tends to obscure the reality that final power lies in ownership, not licensing. For a surprising number of situations, licensing is little more than a red herring.

If I own the code, I can issue you a GPL, someone else a BSD, and yet another license to a third party–take a look at the Mozilla licensing scheme sometime, for an example. If I’m also responsible for updating the code, I can change the license to all of you at any time simply by issuing a new version. Sure, you can still use the old version under the old license, but if I really want to make it tough for you to keep using the old version, there are ways. Finally, as you’re seeing with Everyblock, when someone owns the code privately, there’s nothing that prevents someone else from buying the code – often by buying the firm itself – and changing the licensing terms.

I have no insight into MSNBC’s plans for Everyblock. Maybe they’ll close the code; maybe not. Maybe they’ll keep something open but close the commercial services they build on top of it – I don’t know. As your commentators have noted, no one seems to know – and that’s part of the problem with privately owned but open-licensed code. You just never know.

That’s one reason why I tend to be wary about the “commercial OSS” model, no matter what license it uses. In many commercial OSS projects that I’ve seen, even the GPL is effectively just a cover for what is to all intents and purposes a closed code-base, because the owner/vendor is the only entity on earth that has any realistic likelihood of supporting or extending or developing the code further. Ask someone in the MySQL community how protected they feel by their license – or ask the people using Zimbra how they expected to fare if Microsoft bought Yahoo. It’s not about whether the current owner is good, bad, or ugly; it’s about the fact that you can never know whether it will be the same owner tomorrow. That’s a lot of uncertainty on which to base a mission-critical technology choice.

JB: So, given the diverse range of contexts you describe, what specific strategies have you deployed to mitigate these risks?

CM: Good question – and it’s important to emphasize the word “mitigate,” because there are no guarantees and there’s no such thing as absolute effectiveness. One thing we do in our program is to use IP agreements (a contract with the owner of the code to be developed) that require any transfer of ownership to be to an entity which must also agree to the terms of our IP agreement. In a sense, we make the ownership viral, whether or not the license is viral. That’s not a perfect solution, but it appears to be working for us so far.

It also helps that we make our grants to non-profit organizations, which can’t be bought the same way you can buy a private or publicly held firm. When for-profits are involved in our grants, which sometimes happens when grantees decide to contract with for-profit developers, my program (Mellon’s Program in Research in Information Technology) has always required that the non-profit be the IP owner. We are not alone in this; for instance, when several major technology corporations—all for-profits—decided to share and protect some of their own intellectual property in an open environment, they didn’t trust it to a for-profit, but instead created the Eclipse Foundation, a non-profit that owns the Eclipse Project IP. Ditto the Mozilla Foundation.

Still, it bears repeating that just putting your IP into a non-profit mindlessly doesn’t eliminate the risk, because it matters how the non-profit is structured and governed: nothing says a non-profit can’t be malfeasant, too, if in somewhat different ways.

JB: Do you think that the Knight Foundation was swindled? Did they get outfoxed by msnbc.com, or do you think they are happy with this outcome?

CM: I have no knowledge about what the Knight Foundation intended – has anybody bothered to ask them? [ed note: this conversation took place before Knight made a public statement] I think it would be foolish simply to assume that the grant makers have been outfoxed by this development: it may have been exactly what they wanted, or just a risk they decided beforehand that it was worthwhile to run. Keep in mind, too, that MSNBC hasn’t said or done anything about closing the code so far. Even if the Knight Foundation did want perpetual openness and the strategy wasn’t perfect, there’s still a chance that they’ll get what they wanted.

All that’s really happened here is that the sense of security held by at least some members of the Everyblock community has been shaken by the purchase news. But it was always a false sense of security; at this moment, as far as I can tell, nothing objective about the openness of the project has actually changed.

JB: Do you have any closing thoughts about this deal, or what you think grantmakers and open source advocates can learn from it?

CM: If Everyblock serves to help some members of the openness community to get past their ideological blinders and recognize that IP ownership and licensing decisions are subtle challenges with relatively few simple, definitive answers, it will have done some good. After all, even the best source code is relatively ephemeral, but we can hope that such wisdom will last forever.

JB: Thanks so much for your time and wisdom. I know alot of people who were quite surprised by this turn of events, and it feels like we all need a crash course in IP law /and/ sociology to navigate the intricacies of this political economy. Even veteran lawyers and free software evangelists are often confused by many of these complexities. I really hope that this case and your analysis will better inform future work of this type. Good luck keeping it open (and real)!

CM: Thanks very much. I hope what I had to say is useful.

Disorganized thinking

poison_pillAs I’ve claimed previously, Big Pharma’s crimes and cover-ups will soon make Big Tobacco’s scandals look like jaywalking.

AstraZeneca’s Seroquel trial began last week, and the industry’s criminal antics surrounding anti-psychotics are coming into better focus.  Documents introduced as evidence are confirming that, like Eli Lilly with Zyprexa(Kills), AstraZeneca knowingly downplayed the fatal side-effects of their toxic pills. They covered up the fact that Seroquel causes diabetes and massive weight gain, and have been gaming the drug approval process to expand the diagnostic reach of their drugs.

In a move which hits new lows, even for Pharma, documents introduced into evidence reveal sex scandals and conflicts of interest in the approval of Seroquel for treating depression, the burying of unfavourable studies, and deeper insight into the pathological cognitive dissonance underlying Pharma’s logic. Get ‘em while they’re hot!

43_Exhibit 15.pdf

There may be a rationale to explain why acutely psychotic patients may gain weight in the short term, following effective therapy. The relief of negative symptoms, apathy, etc, disorganized thinking, may result in return to normal activities like having regular meals.

I see. Blame the weight gain on the crazy people. Gotta love it. I am reminded of the current economic situation, where corporations privatize the profits and socialize the risks/loses. All the good is caused by the drugs, the patients/victims take all responsibility and blame for the bad.

Meanwhile, this week yielded a few more alternate hypotheses on behavioural issues in children:

Are Bad Sleeping Habbits Driving us Mad?

The 3 R’s? A Fourth Is Crucial, Too: Recess

adding to the growing list (nutritional issues, boredom, and increased stress) of plausible explanations for children’s irritability, restlessness, and erratic behaviour.

I thought the scientific method was supposed to be about systematically exploring causal possibility spaces, and iteratively refining our narrative understanding based on critical observation. Pharma’s scientists have seriously lost their way. They have betrayed the sceptical stance at the foundation of scientific knowledge production.

That’s some abstract, theoretical jargon, but the threat here is quite concrete and real.  Just ask these horrifically abused elderly patients. People who have never manifested psychotic symptoms are no longer safe!

That future of psychiatry is quite disturbed. They might actually beat
omniscient surveillance to the punch on absolute control over the populace. But heaven help us if/when Big Brother forges an alliance with Big Pharma.

Hot off the Collaborative Digital Press

At long last! Wiki Writing: Collaborative Learning in the College Classroom has finally been published. An anthology of peer-reviewed essays on teaching and learning with wikis, the first two chapters in the book are written by myself, my coworkers, and my friends.  Mark Phillipson contributed “Wikis in the Classroom: A Taxonomy,” and Myself, John Frankfurt, and Alex Gail Shermansong teamed up with Professor Robin Kelley, our faculty partner on the Social Justice Wiki, to write “Wiki Justice, Social Ergonomics, and Ethical Collaborations.”

Over 3 years since the Call For Papers, and a long and arduous review process, the hard copy of this book is now available for purchase from the University of Michigan Press and at Amazon, and will soon be available to explore free of charge at the Digital Culture Books website. It think they may have grown the trees before killing them for the paper.

The half-life of the subject matter certainly warranted a more rapid turnaround, but I guess that’s the sound of dying media letting out its last wheeze. I am also disappointed that the hard copy managed to publish the wrong, older version of my diagram. So, for my first erratum, here is the figure that should have been printed: Social Software Value Space.

Gripe, gripe, gripe. Actually, I am thrilled this came together, and think the book looks great and will stand the test of time. I’m also happy the digital version of the book will be available for free, though I am not certain the book made it out under a Creative Commons license. A huge thanks to our editors (Robert E. Cummings and Matt Barton, whom I have yet to meet in person) for persevering and making this happen.

Giving Chickens Microphones

By now you may have heard of the innovative citizen-driven election monitoring system, Twitter Voter Report (they are getting great press cycles, with purportedly more to come).  I actually wrote up and submitted the post that appears on infosthetics.com, a wonderful blog that tracks innovations in data visualization.

This projects represents a really innovative use of Twitter as a “just-add-water” (gratis, but not truly free) infrastructure for distributed structured-data collection. It reminded me of a free platform a group at  UNICEF is building to collect distributed structured-data in the third world (for places w/out easy access to the internet, but with cellular connectivity) -  RapidSMS.

Imagine how many millions of dollars the government would have spent to build a cell-phone enabled election monitoring system (that likely wouldn’t work). Instead, a group of volunteer activists, weaned on the open-source, do-it-yourself culture of code jams, shared repositories, and issue trackers, decided less than a month ago that they could build this themselves on a shoestring.

This is definitely a big deal, and relates closely to a new tier of participatory media which I began to describe at my talk at CCNMTL’s New Media in Education conference this month. It also has everything in the world to do with the TagMaps tool I wrote about last November in my post Crowded Wisdom. Systems are coming online which are helping us synthesize vast volumes of tiny fragments of information into meaningful knowledge.

Twitter Vote Report allows anyone to report voter suppression, and problems with specific voting machines, but it support tracking wait times, which will be aggregated and mapped on the website.

Previously, when a voter had a complaint, he had to go through election officials who might have little incentive to admit a mistake – what tech executive Logan calls “a fox guarding the chickens” scenario.

“What this technology does,” he says, “is give the chickens a microphone.” [Baltimore Sun]

Finally, while we are on the topic, this was a great letter to the next president on what he can/should do with technology. How will President Obama utilize the historically unprecedented social networks he mobilized during his campaign?

Dear Mr. Tech President

For more information on Twitter Vote Report see their press page.

Lost in Controversy

This summer, Bruno Latour was our tour guide – leading the way, not out of The Cave, but beyond the entire Cave System. Along the journey I also learned about a very interesting pedagogical technique intended to take engineering students on a similar journey.

Students at Sciences-Politique and Ecole des Mines in Paris, as well as at MIT in Boston are learning to map techno-scientific controversies according to a method which embodies Actor-Network-Theory (without all of the heavy theoretical jargon).  Past projects can be found at the Mapping Controversies web site, and Bruno Latour himself explains the project and its aspirations in this video.

Many of the possibilities explored in these new media projects are related to a broader question I have been interested lately concerning the impact that technology is having on epistemology itself. How is technology and new media changing what is knowable and how we go about knowing?  I wrote an essay last Spring, The Bionic Social Scientist: Human Sciences and Emerging Ways of Knowing, which begins to explore these questions, and it is wonderful to see more examples of these ideas materializing around us.

The Mapping Controversies pedagogy involves teams of students taking on the role of statistician, investigative journalist, scientist, and webmaster, working to research and represent a controversy. They discover (and depict) that concepts themselves vary depending upon who is speaking about them, and attempt to map these relations and progressions over time.

I can imagine this technique displacing the traditional 5 ‘W’s of journalism – The venerable Who, What, When, Where, & Why needs to b upgraded to a multi-dimensional, post-modern, reality. What varies and depends upon who, where, and when, and without the kinds of research and representations that the Mapping Controversies project is pioneering, we will never adequately capture the multiplicities of whys. I don’t know if these kinds of representations are intermediate forms of research, or if one day they will be part of the final production delivered as news to readers, but it is an important question to begin to grapple with.

Right now, the Mapping Controversies sites are somewhat anti-social – they are fixed, one-way communications, but from the introductory video, they hope to change this soon. At the moment, each map is also a unique work of art.  While it is premature to confine anyone yet to the paradigmatic blinders of conformity, I also think it is imperative for us to begin to imagine and develop a visual vocabulary that we can re/use when representing these kinds of relations.

In the field of information visualization, researchers are beginning to catalog Information Design Patterns that maps like this could build upon. Of course, riffs and variations from these patterns are welcome, where significant and meaningful, but a common starting point will improve the communicativity of these maps. As these patterns solidify, the corresponding implementation patterns can grow along with these efforts, as tools like Ben Fry’s Processing Framework (recently ported from java to javascript, which is much more web friendly, and used extensively in the MOMA’s Design and the Elastic Mind exhibit), will begin to institutionalize the knowledge learned in constructing these maps.

And, of course, all of the code and content used to create these projects should be free and open, so the world can learn and improve on their foundations.

Bruno vs. The Cavemen

This summer I was part of an amazing reading group where we slowed to a crawl and closely read Bruno Latour’s Politics of Nature. When I say we read the book, I mean we literally went around the table and read the book out loud, stopping to discuss difficult passages until we were confident we understood them.

I haven’t taken to the time to read a book this closely in ages, and the experience reinforced the age old addage about finding the universe in a grain of sand. Reading a book that deals with such deep eternal themes, written by a brilliant theoretician who has himself synthesized and integrated an incredible amount of history, philosophy, and literature, was like glimpsing the entire cannon through Latour’s eyes, and well worth the effort.

In this work, Latour performs a root canal on a form of conceptual dualism that has haunted Western thought for millennium. The book revolves around a perplexing circumstance in world we have constructed for ourselves – How did we end up in a world where one set of propositions (usually known as facts) are authoritative, unassailable, and incontrovertible and another set of propositions (usually known as values) are the kinds things we are allowed to argue about?

Apart from the challenge of figuring out which of these flawed categories a particular proposition belongs to, the artificial separation between the tasks of constructing the common world and constructing the common good shuts down all possibility of discourse – before we even get a chance to try to arrive at consensus! The institutionalization of facts and values are so inextricably intertwined that it is folly to erect barriers between these two enterprises.

Latour illustrates his perspective with examples from controversies in the sciences (especially Environmentalism and Political Ecology), but it is trivial to transpose his argument to the great debates between objectivity and subjectivity in Journalism, and the ways that certain kinds of propositions (’data’ in many conversations about technology, and ‘revelation’ in conversations about religion) are invoked as trump cards to shut down all debate. Medical “science”, especially psychiatry and brain science are horrendous perpetrators of these offenses right now, and the consequences are anything but theoretical. The Onion provides my favorite example illustrating the confusion between facts and values.

Latour’s proposed strategy for re-imagining the mexican standoff between nature/culture, science/democracy, facts/values, objectivity/subjectivity, necessity/freedom, etc is to re-tie a metaphysical Gordian knot as an epistemological one. He would like us to consider an dynamically expanding collective of players/concepts, composed of humans and non-humans (the non-humans have spokespeople, whose assertions are speech acts – qualified by the same kinds of language we use to indicate our confidence in any speech act).

Revisiting and reinterpreting Plato’s metaphor of Cave, Latour traces the West’s tendency to cleanly divide smooth facts from messy values to the flawed idea of aspiring to leave the Cave to grasp/glimpse/experience the Truth. Even if this were attainable, the sojourners would still need to return back into the cave, to mediate and relate their experience to those still trapped within. Instead of aspiring to leave the cave, we need to transcend the entire Cave system.

It isn’t completely fair to criticize a book for what it’s missing (no single book can be all things), but it would be great to expand this line of analysis in the future and elaborate on the role of mediation in the current and imagined collective. It seems pretty clear to me that for Latour, the ‘Sciences’ encompass the entire enterprise of Science, including the scientists, the funders, the corporations, the educators, and the scientific journalists. But, there is little in the book that unpacks these relations.

A broader criticism sets an argument that John Durham Peter’s advanced in Speaking into the Air, against Latour’s conception of the Collective. Peter’s argues that we often view communication as salvation, when in fact alot of discourse never leads to consensus, and there are perspectives that are mutually incommensurate and irreconcilable. I may be naive to think the Collective that Latour dreams of is a realistic aspiration, though I sure would love to live to participate in it.

I also want to explore the connections between this work and the Death of Environmentalism essay I encountered last year. I think Shellenberger and Nordhaus’ argument is a vivid and direct application of the theory Latour argues in The Politics of Nature.

Ulises Mejias’ work on Networked Proximity is another work which might be fascinating to juxtapose with the dynamically expanding collective (which, can be thought about as a network).  Ulises’ notions of the para-nodal might be crucial to consider when the collective invokes the power to take things into account.

The End of Digirati Philosophizing

Chris Anderson, the editor-in-chief of Wired published a provocative essay last week that really caught me off-guard:

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete

I have been writing lately about the effects that technology is having on epistemology, namely, what is knowable and how we go about knowing.

But, I’ve arrived at very different conclusions than Anderson. I think that our methods for gathering evidence to support a hypothesis is changing – radically – but I certainly do not think that the scientific method (or attitude or stance, as Piet Hut sometimes puts it) is obsolete. Evolving, for sure, but I hope not in the direction that Anderson claims. Intriguingly, Kevin Kelly – who originally launched Wired, wrote an essay on the future of science that I think is much more thoughtful and prescient.

A cursory examination of the comments posted on his essay make me wonder if he hasn’t floated a straw man argument, just to be provocative. But after a few conversations with friends and colleges this week, I believe there is something important and scary in his perspective.

My thinking here is greatly informed by a book I am reading this summer by Bruno Latour – The Politics of Nature. In this book, Latour struggles to reconcile the perennial tensions between nature and democracy, science and politics, facts and values, and ultimately, objectivity and subjectivity. He critiques the veneration of facts as the penultimate authority – reminding us to always consider who gathered those facts and why. His argument is far more nuanced and complex, but I really see its re-enactment in the veneration of data Anderson naively concedes.

We must acknowledge that data itself is nothing more than a mediation with reality – and we shouldn’t confuse data with reality itself.  There are many good rebuttals appearing in the comments, but none that I have read point out that Anderson’s characterization denies the politics of instrumentation and data collection – the concepts and constructs that underlie the data, never mind the importance of stories and explanations in our politics and justifications.

This understanding is basic to the psychology of perception as well as the philosophy of science – there is no observation without pre-existing concepts and constructs – the buckets of data we are collecting (and, at least for now, some data is not being collected) are being stored according to organizational schemes – schemes created by humans.

Data isn’t sacred, and its folly to regard it as such. We need our models and the explicit self-awareness that we created them within a particular historical context and theoretical paradigm.

In the wise words of my mentor/advisor, Frank Moretti:

The problem with statistical analysis in the hands of many is that they expect the statiistics to yeild the truth and this leads into the mistake “reporting their findings” in a theory-deprived context. Whenever you are dealing with the human sciences, whether the information is statistical, visual or otherwise, you still have to build a meaningful narrative that requires that you have a point of view that has either overt or covert theoretical assumptions. Without that you are in danger of reporting your views in what Marcuse calls opreational language, a language derived from the tools of discovery rather a serious point of view.

Tigers and Teachers

Last week I went back to ‘ol Nassau and attended the annual New Media Consortium conference, held this year at my alma mater.

The conference was very engaging, especially since I don’t think I have ever attended an event geared specifically towards the kind of work we do at CCNMTL. Typically, whether its developer, librarian, technorati, activist, or academically oriented, our work shares aspects with other attendees, but usually not a similar overarching mission. I was reminded how special our organization’s niche is – we should take pride in our projects and values. I also gained a better understanding of how privileged our situation is.

While no two university’s I have ever encountered share the same organizational structure, many now support groups whose primary mission is helping the faculty use new media & technology purposefully. I was astounded at the constraints, and corresponding resourcefulness, these groups exhibit. Most of them have a much smaller staff than ours, and very few actually develop custom software. A Wordpress or Mediawiki plugin is about as complicated as many of them can attempt. And yet, they forge ahead, scraping together whatever tools they can wrap their minds around – and in the era of mashups, the possibilities are growing daily.

It is interesting to contrast this resourcefulness with corporate, and even non-profit, technical efforts I have been involved with. Many of these groups have gourmet taste in technology, and initiatives are often paralyzed until the right tools are developed. The educators show how far a healthy culture of use can go in trumping system constraints.

Overall, many groups are still working with the faculty to get beyond the allure of the media, and demand a greater educational return than “mere” excitement and motivation. Critical engagement must go beyond supplemental materials, as it is decidely difficult to follow through on the promise of a demonstrated educational value. There were many projects that clearly helped the students feel good about their learning, but it is incredibly hard to design a curriculum where these new media objects become a central component in a student’s analysis. In our work we try, and occasionally succeed, to help push the faculty to design assignments where the new media elements are an integral part of the critical analysis – where the learners deeply engage with the media, and bring these elements into play as evidence in support of an argument.

These aspirations place the bar quite high, and often require faculty to develop an radically new teaching style. Additionally, none of us learned this way, though we all seem to be convinced these new styles are superior to the ways we were taught. Consequently, there is a great deal of experimentation and research involved in educational technology. It was really great having these kinds of conversations all weekend long – sharing and exchanging perspectives with the others grappling with similar concerns.

Some of the highlights I learned about included:

  • Sun’s Wonderland Virtual World – a free-software, enterprise/education-ready virtual world environment, with more of a professional emphasis than Second Life. Of Sun’s 34k employees, 50% or more work remotely or from home on any given day, so collaboration tools are very important for them. The environment supports authentication, allows for any X window to be shared w/in the world, and even has telephony bridging, so users without a client can call in.
  • Emerson’s NEA funded Digital Lyceum Project where New Media scholars Eric Gordon, John Freeman, and Aubree Lawrence are investigating the orchestration of attention during a live event. Research like this could help the backchannel transition from distracting to essential – its fun to imagine being able to cite or reference the flurry of associations, chats, and google jockeying that flow by in the stream of consciousness that live events have become.
  • The John Lennon Educational Tour Bus – Wow. Imagine this media studio on wheels pulling up to your school when you were a kid. Three hipster musician/media-mavens tour the country on this bus, sponsored and outfitted by the likes of Apple and Sony – they are rock stars without the responsibility of performing. Students on the bus come aboard without any specific skills, and leave with something they made that day. The bus sports two fully outfitted media workstations, instruments, and even a green room. Buses like this represent an incredible amount of potential, helping students understand they can produce as easily as consume.

I hope in the years to come the bus incorporates a few more Media Fluency lessons (think: MacArthur’s Digital Learning Initiative, John Broughton’s Pop Resources and David Buckingham’s Journal of Learning and Media) at touchstone moments (”Ah! so all media produced incorporates the producers perspective”), a few more lessons on the ethics of sharing (”Hey, how do I share my media with the world, and let others remix it?”), and offer concrete strategies for continuity after the bus pulls away (”I get it – all media is produced on magic buses”)…

Many NMC’ers have drank deeply at the fountain of Second Life kool-aid, and I glimpsed more variations on the educational potential of Virtual Worlds. I didn’t hear too many people riffing on the centrality of realistic memories the environment offers, so this is an idea I certainly need to develop further. I am immensely grateful to the Play As Being community for introducing me to these experiences in a very meaningful context.

Finally, I spent lots of time reminiscing about my undergraduate years. My colleges and I cracked secret codes, narrowly averted an attack by a giant tiger, revisited the Princeton Record Exchange (where I spent $20 and came home w/ 6 cds), and lamented the campus’ new density – a building has sprung up in almost every open space I remember.

Phew.

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