I’m at a talk by Andrew Revkin of the NY Times’ Dot Earth blog at the Shorenstein Center. [Alex Jones mentions in his introduction that Andy is a singer-songwriter who played with Pete Seeger. Awesome!]
NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people.
Andy says he’s been a science reporter for 31 years. His first magazine article was about the dangers of the anti-pot herbicide paraquat. (The article won an award for investigative journalism). It had all the elements — bad guys, victims, drama — typical of “Woe is me. Shame on you” environmental reporting. His story on global warming in 1988 has “virtually the same cast of characters” that you see in today’s coverage. “And public attitudes are about the same…Essentially the landscape hasn’t changed.” Over time, however, he has learned how complex climate science is.
In 2010, his blog moved from NYT’s reporting to editorial, so now he is freer to express his opinions. He wants to talk with us today about the sort of “media conversation” that occurs now, but didn’t when he started as a journalist. We now have a cloud of people who follow a journalist, ready to correct them. “You can say this is terrible. It’s hard to separate noise from signal. And that’s correct.” “It can be noisy, but it’s better than the old model, because the old model wasn’t always right.” Andy points to the NYT coverage on the build up to the invasion of Iraq. But this also means that now readers have to do a lot of the work themselves.
He left the NYT in his mid-fifties because he saw that access to info more often than not doesn’t change you, but instead reinforces your positions. So at Pace U he studies how and why people understand ecological issues. “What is it about us that makes us neglect long-term imperatives?” This works better in a blog in a conversation drawing upon other people’s expertise than an article. “I’m a shitty columnist,” he says. People read columns to reinforce their beliefs, although maybe you’ll read George Will to refresh your animus :) “This makes me not a great spokesperson for a position.” Most positions are one-sided, whereas Andy is interested in the processes by which we come to our understanding.
Q: [alex jones] People seem stupider about the environment than they were 20 years ago. They’re more confused.
A: In 1991 there was a survey of museum goers who thought that global warming was about the ozone hole, not about greenhouse gases. A 2009 study showed that on a scale of 1-6 of alarm, most Americans were at 5 (“concerned,” not yet “alarmed”). Yet, Andy points out, the Cap and Trade bill failed. Likewise,the vast majority support rebates on solar panels and fuel-efficient vehicles. They support requiring 45mph fuel efficiency across vehicle fleets, even at a $1K price premium. He also points to some Gallup data that showed that more than half of the respondents worry a great a deal or a fair amount, but that number hasn’t changed since they Gallup began asking the question, in 1989. [link] Furthermore, global warming doesn’t show up as one of the issues they worry about.
The people we need to motivate are innovators. We’ll have 9B on the planet soon, and 2B who can’t make reasonable energy choices.
Q: Are we heading toward a climate tipping point?
A: There isn’t evidence that tipping points in climate are real and if they are, we can’t really predict them. [link]
Q: The permafrost isn’t going to melt?
A: No, it is melting. But we don’t know if it will be catastrophic.
Andy points to a photo of despair at a climate conference. But then there’s Scott H. DeLisi who represents a shift in how we relate to communities: Facebook, Twitter, Google Hangouts. Inside Climate News won the Pulitzer last year. “That says there are new models that may work. Can they sustain their funding?” Andy’s not sure.
“Journalism is a shinking wedge of a growing pie of ways to tell stories.”
“Escape from the Nerd Loop”: people talking to one another about how to communicate science issues. Andy loves Twitter. The hashtag is as big an invention as photovoltaics, he says. He references Chris Messina, its inventor, and points to how useful it is for separating and gathering strands of information, including at NASA’s Asteroid Watch. Andy also points to descriptions by a climate scientist who went to the Arctic [or Antarctic?] that he curated, and to a singing scientist.
Q: I’m a communications student. There was a guy named Marshall McLuhan, maybe you haven’t heard of him. Is the medium the message?
A: There are different tools for different jobs. I could tell you the volume of the atmosphere, but Adam Nieman, a science illustrator, used this way to show it to you.
Q: Why is it so hard to get out of catastrophism and into thinking about solutions?
A: Journalism usually focuses on the down side.If there’s no “Woe is me” element, it tends not to make it onto the front page. At Pace U. we travel each spring and do a film about a sustainable resource farming question. The first was on shrimp-farming in Belize. It’s got thousands of views but it’s not on the nightly news. How do we shift our norms in the media?
[david ropiek] Inherent human psychology: we pay more attention to risks. People who want to move the public dial inherently are attracted to the more attention-getting headlines, like “You’re going to die.”
A: Yes. And polls show that what people say about global warming depends on the weather outside that day.
A report recently drew the connection between climate change and other big problems facing us: poverty, war, etc. What did you think of it?
A: It was good. But is it going to change things? The Extremes report likewise. The city that was most affected by the recent typhoon had tripled its population, mainly with poor people. Andy values Jesse Ausubel who says that most politics is people pulling on disconnected levels.
Q: Any reflections on the disconnect between breezy IPCC executive summaries and the depth of the actual scientific report?
A: There have been demands for IPCC to write clearer summaries. Its charter has it focused on the down sides.
Q: How can we use open data and community tools to make better decisions about climate change? Will the data Obama opened up last month help?
A: The forces of stasis can congregate on that data and raise questions about it based on tiny inconsistencies. So I’m not sure it will change things. But I’m all for transparency. It’s an incredibly powerful tool, like when the US Embassy was doing its own twitter feed on Beijing air quality. We have this wonderful potential now; Greenpeace (who Andy often criticizes) did on-the-ground truthing about companies deforesting organgutang habitats in Indonesia. Then they did a great campaign to show who’s using the palm oil: Buying a Kitkat bar contributes to the deforesting of Borneo. You can do this ground-truthing now.
Q: In the past 6 months there seems to have been a jump in climate change coverage. No?
A: I don’t think there’s more coverage.
Q: India and Pakistan couldn’t agree on water control in part because the politicians talked about scarcity while the people talked in terms of their traditional animosities. How can we find the right vocabularies?
A: If the conversation is about reducing vulnerabilities and energy efficiency, you can get more consensus than talking about global warming.
Q: How about using data visualizations instead of words?
A: I love visualizations. They spill out from journalism. How much it matters is another question. Ezra Klein just did a piece that says that information doesn’t matter.
Q: Can we talk about your “Years of Living Dangerously” piece? [Couldn't hear the rest of the question].
A: My blog is edited by the op-ed desk, and I don’t always understand their decisions. Journalism migrates toward controversy. The Times has a feature “Room for Debate,” and I keep proposing “Room for Agreement” [link], where you’d see what people who disagree about an issue can agree on.
Q: [me] Should we still be engaging with deniers? With whom should we be talking?
A: Yes, we should engage. We taxpayers subsidize second mortgages on houses in wild fire zones in Colorado. Why? So firefighters have to put themselves at risk? [link] That’s an issue that people agree on across the spectrum. When it comes to deniers, we have to ask what exactly are you denying, Particular data? Scientific method? Physics? I’ve come to the conclusion that even if we had perfect information, we still wouldn’t galvanize the action we need.
[Andy ends by singing a song about liberated carbon. That's not something you see every day at the Shorenstein Center.]
[UPDATE (the next day): I added some more links.]
In August, I blogged about a mangled quotation supposedly from Mark Twain posted on an interstitial page at Forbes.com. When I tweeted about the post, it was (thanks to John Overholt [twitter:JohnOverholt]) noticed by Quote Investigator [twitter:QuoteResearch] , who over the course of a few hours tweeted the results of his investigation. Yes, it was mangled. No, it was not Twain. It was probably Christian Bovee. Quote Investigator, who goes by the pen name Garson O’Toole, has now posted on his site at greater length about this investigation.
It’s been clear from the beginning of the Web that it gives us access to experts on topics we never even thought of. As the Web has become more social, and as conversations have become scaled up, these crazy-smart experts are no longer nestling at home. They’re showing up like genies summoned by the incantation of particular words. We see this at Twitter, Reddit, and other sites with large populations and open-circle conversations.
This is a great thing, especially if the conversational space is engineered to give prominence to the contributions of drive-by experts. We want to take advantage of the fact that if enough people are in a conversation, one of them will be an expert.
Tagged with: 2b2k
Date: October 27th, 2013 dw
I gave a webcast talk at Library2.013 titled “Lessons from Reddit.” It’s available as an mp4 for streaming or downloading here. (You might want to start about 3 minutes in, in order to save 3 minutes of your life.)
It was a bit discursive. I had a few topics I knew I wanted to talk about, but I just talked. Here are the topics (with start times), as drawn from the lowest-value slide deck ever:
Why this topic? 3:00
What is Reddit? 5:10
Conversations are engineered 11:17
We are constantly surprised by scale 23:25
We don’t have interests. Interests have us.30:25
The virtue of echo chambers 36:40
Both Facebook and Apple have announced the use of tags. Yay!
Tags have continued to percolate through the ecosystem after their most auspicious introduction in Delicious.com. (Note the phrase “most auspicious”; tags have always been with us.) It’s great to see them increase both because they are a great way to get use out of the craziness while preserving it in its original form for others, and because there is great value in scaling tags, as Flickr has shown.
So, yay for tags. And yay for the crazy.
Tagged with: eim
Date: June 13th, 2013 dw
I don’t care about expensive electric sports cars, but I’m fascinated by the dustup between Elon Musk and the New York Times.
On Sunday, the Times ran an article by John Broder on driving the Tesla S, an all-electric car made by Musk’s company, Tesla. The article was titled “Stalled Out on Tesla’s Electric Highway,” which captured the point quite concisely.
Musk on Wednesday in a post on the Tesla site contested Broder’s account, and revealed that every car Tesla lends to a reviewer has its telemetry recorders set to 11. Thus, Musk had the data that proved that Broder was driving in a way that could have no conceivable purpose except to make the Tesla S perform below spec: Broder drove faster than he claimed, drove circles in a parking lot for a while, and didn’t recharge the car to full capacity.
Boom! Broder was caught red-handed, and it was data that brung him down. The only two questions left were why did Broder set out to tank the Tesla, and would it take hours or days for him to be fired?
Rebecca Greenfield at Atlantic Wire took a close look at the data — at least at the charts and maps that express the data — and evaluated how well they support each of Musk’s claims. Overall, not so much. The car’s logs do seem to contradict Broder’s claim to have used cruise control. But the mystery of why Broder drove in circles in a parking lot seems to have a reasonable explanation: he was trying to find exactly where the charging station was in the service center.
But we’re not done. Commenters on the Atlantic piece have both taken it to task and provided some explanatory hypotheses. Greenfield has interpolated some of the more helpful ones, as well as updating her piece with testimony from the tow-truck driver, and more.
But we’re still not done. Margaret Sullivan [twitter:sulliview] , the NYT “public editor” — a new take on what in the 1960s we started calling “ombudspeople” (although actually in the ’60s we called them “ombudsmen”) — has jumped into the fray with a blog post that I admire. She’s acting like a responsible adult by witholding judgment, and she’s acting like a responsible webby adult by talking to us even before all the results are in, acknowledging what she doesn’t know. She’s also been using social media to discuss the topic, and even to try to get Musk to return her calls.
Now, this whole affair is both typical and remarkable:
It’s a confusing mix of assertions and hypotheses, many of which are dependent on what one would like the narrative to be. You’re up for some Big Newspaper Schadenfreude? Then John Broder was out to do dirt to Tesla for some reason your own narrative can supply. You want to believe that old dinosaurs like the NYT are behind the curve in grasping the power of ubiquitous data? Yup, you can do that narrative, too. You think Elon Musk is a thin-skinned capitalist who’s willing to destroy a man’s reputation in order to protect the Tesla brand? Yup. Or substitute “idealist” or “world-saving environmentally-aware genius,” and, yup, you can have that narrative too.
Not all of these narratives are equally supported by the data, of course — assuming you trust the data, which you may not if your narrative is strong enough. Data signals but never captures intention: Was Broder driving around the parking lot to run down the battery or to find a charging station? Nevertheless, the data do tell us how many miles Broder drove (apparently just about the amount that he said) and do nail down (except under the most bizarre conspiracy theories) the actual route. Responsible adults like you and me are going to accept the data and try to form the story that “makes the most sense” around them, a story that likely is going to avoid attributing evil motives to John Broder and evil conspiratorial actions by the NYT.
But the data are not going to settle the hash. In fact, we already have the relevant numbers (er, probably) and yet we’re still arguing. Musk produced the numbers thinking that they’d bring us to accept his account. Greenfield went through those numbers and gave us a different account. The commenters on Greenfield’s post are arguing yet more, sometimes casting new light on what the data mean. We’re not even close to done with this, because it turns out that facts mean less than we’d thought and do a far worse job of settling matters than we’d hoped.
That’s depressing. As always, I am not saying there are no facts, nor that they don’t matter. I’m just reporting empirically that facts don’t settle arguments the way we were told they would. Yet there is something profoundly wonderful and even hopeful about this case that is so typical and so remarkable.
Margaret Sulllivan’s job is difficult in the best of circumstances. But before the Web, it must have been so much more terrifying. She would have been the single point of inquiry as the Times tried to assess a situation in which it has deep, strong vested interests. She would have interviewed Broder and Musk. She would have tried to find someone at the NYT or externally to go over the data Musk supplied. She would have pronounced as fairly as she could. But it would have all been on her. That’s bad not just for the person who occupies that position, it’s a bad way to get at the truth. But it was the best we could do. In fact, most of the purpose of the public editor/ombudsperson position before the Web was simply to reassure us that the Times does not think it’s above reproach.
Now every day we can see just how inadequate any single investigator is for any issue that involves human intentions, especially when money and reputations are at stake. We know this for sure because we can see what an inquiry looks like when it’s done in public and at scale. Of course lots of people who don’t even know that they’re grinding axes say all sorts of mean and stupid things on the Web. But there are also conversations that bring to bear specialized expertise and unusual perspectives, that let us turn the matter over in our hands, hold it up to the light, shake it to hear the peculiar rattle it makes, roll it on the floor to gauge its wobble, sniff at it, and run it through sophisticated equipment perhaps used for other purposes. We do this in public — I applaud Sullivan’s call for Musk to open source the data — and in response to one another.
Our old idea was that the thoroughness of an investigation would lead us to a conclusion. Sadly, it often does not. We are likely to disagree about what went on in Broder’s review, and how well the Tesla S actually performed. But we are smarter in our differences than we ever could be when truth was a lonelier affair. The intelligence isn’t in a single conclusion that we all come to — if only — but in the linked network of views from everywhere.
There is a frustrating beauty in the way that knowledge scales.
Tagged with: 2b2k
Date: February 14th, 2013 dw
I picked up a copy of Bernard Knox’s 1994 Backing into the Future because somewhere I saw it referenced about the weird fact that the ancient Greeks thought that the future was behind them. Knox presents evidence from The Odyssey and Oedipus the King to back this up, so to speak. But that’s literally on the first page of the book. The rest of it consists of brilliant and brilliantly written essays about ancient life and scholarship. Totally enjoyable.
True, he undoes one of my favorite factoids: that Greeks in Homer’s time did not have a concept of the body as an overall unity, but rather only had words for particular parts of the body. This notion comes most forcefully from Bruno Snell in The Discovery of Mind, although I first read about it — and was convinced — by a Paul Feyerabend essay. In his essay “What Did Achilles Look Like?,” Knox convincingly argues that the Greeks had both and a word and concept for the body as a unity. In fact, they may have had three. Knox then points to Homeric uses that seem to indicate, yeah, Homer was talking about a unitary body. E.g., “from the bath he [Oydsseus] stepped, in body [demas] like the immortals,” and Poseidon “takes on the likeness of Calchas, in bodily form,” etc. [p. 52] I don’t read Greek, so I’ll believe whatever the last expert tells me, and Knox is the last expert I’ve read on this topic.
In a later chapter, Knox comes back to Bernard William’s criticism, in Shame and Necessity, of the “Homeric Greeks had no concept of a unitary body” idea, and also discusses another wrong thing that I had been taught. It turns out that the Greeks did have a concept of intention, decision-making, and will. Williams argues that they may not have had distinct words for these things, but Homer “and his characters make distinctions that can only be understood in terms of” those concepts. Further, Williams writes that Homer has
no word that means, simply, “decide.” But he has the notion…All that Homer seems to have left out is the idea of another mental action that is supposed necessarily to lie between coming to a conclusion and acting on it: and he did well in leaving it out, since there is no such action, and the idea of it is the invention of bad philosophy.” [p. 228]
Wow. Seems pretty right to me. What does the act of “making a decision” add to the description of how we move from conclusion to action?
Knox also has a long appreciation of Martha Nussbaum’s The Fragility of Goodness (1986) which makes me want to go out and get that book immediately, although I suspect that Knox is making it considerably more accessible than the original. But it sounds breath-takingly brilliant.
Knox’s essay on Nussbaum, “How Should We Live,” is itself rich with ideas, but one piece particularly struck me. In Book 6 of the Nichomachean Ethics, Aristotle dismisses one of Socrates’ claims (that no one knowingly does evil) by saying that such a belief is “manifestly in contradiction with the phainomena.” I’ve always heard the word “phainomena” translated in (as Knox says) Baconian terms, as if Aristotle were anticipating modern science’s focus on the facts and careful observation. We generally translate phainomena as “appearances” and contrast it with reality. The task of the scientist and the philosopher is to let us see past our assumptions to reveal the thing as it shows itself (appears) free of our anticipations and interpretations, so we can then use those unprejudiced appearances as a guide to truths about reality.
But Nussbaum takes the word differently, and Knox is convinced. Phainomena, are “the ordinary beliefs and sayings” and the sayings of the wise about things. Aristotle’s method consisted of straightening out whatever confusions and contradictions are in this body of beliefs and sayings, but then to show that at least the majority of those beliefs are true. This is a complete inversion of what I’d always thought. Rather than “attending to appearances” meaning dropping one’s assumptions to reveal the thing in its untouched state, it actually means taking those assumptions — of the many and of the wise — as containing truth. It is a confirming activity, not a penetrating and an overturning. Nussbaum says for Aristotle (and in contrast to Plato), “Theory must remain committed to the ways human beings live, act, see.” (Note that it’s entirely possible I’m getting Aristotle, Nussbaum, and Knox wrong. A trifecta of misunderstanding!)
Nussbaum’s book sounds amazing, and I know I should have read it, oh, 20 years ago, but it came out the year I left the philosophy biz. And Knox’s book is just wonderful. If you ever doubted why we need scholars and experts — why would you think such a thing? — this book is a completely enjoyable reminder.
I’m not sure how I came into possession of a copy of The Indexer, a publication by the Society of Indexers, but I thoroughly enjoyed it despite not being a professional indexer. Or, more exactly, because I’m not a professional indexer. It brings me joy to watch experts operate at levels far above me.
The issue of The Indexer I happen to have — Vol. 30, No,. 1, March 2012 — focuses on digital trends, with several articles on the Semantic Web and XML-based indexes as well as several on broad trends in digital reading and digital books, and on graphical visualizations of digital indexes. All good.
I also enjoyed a recurring feature: Indexes reviewed. This aggregates snippets of book reviews that mention the quality of the indexes. Among the positive reviews, the Sunday Telegraph thinks that for the book My Dear Hugh, “the indexer had a better understanding of the book than the editor himself.” That’s certainly going on someone’s resumé!
I’m not sure why I enjoy works of expertise in fields I know little about. It’s true that I know a little about indexing because I’ve written about the organization of digital information, and even a little about indexing. And I have a lot of interest in the questions about the future of digital books that happen to be discussed in this particular issue of The Indexer. That enables me to make more sense of the journal than might otherwise be the case. But even so, what I enjoy most are the discussions of topics that exhibit the professionals’ deep involvement in their craft.
But I think what I enjoy most of all is the discovery that something as seemingly simple as generating an index turns out to be indefinitely deep. There are endless technical issues, but also fathomless questions of principle. There’s even indexer humor. For example, one of the index reviews notes that Craig Brown’s The Lost Diaries “gives references with deadpan precision (‘Greer, Germaine: condemns Queen, 13-14…condemns pineapple, 70…condemns fat, thin and medium sized women, 93…condemns kangaroos,122′).”
As I’ve said before, everything is interesting if observed at the right level of detail.
From TheHeart.org, an article by Lisa Nainggolan:
Gothenburg, Sweden – Further support for the concept of the obesity paradox has come from a large study of patients with acute coronary syndrome (ACS) in the Swedish Coronary Angiography and Angioplasty Registry (SCAAR) . Those who were deemed overweight or obese by body-mass index (BMI) had a lower risk of death after PCI [percutaneous coronary intervention, aka angioplasty] than normal-weight or underweight participants up to three years after hospitalization, report Dr Oskar Angerås (University of Gothenburg, Sweden) and colleagues in their paper, published online September 5, 2012 in the European Heart Journal.
Can confirm. My grandmother in the 1930s was instructed to make sure she fed her husband lots and lots of butter to lubricate his heart after a heart attack. This proved to work extraordinarily well, at least until his next heart attack.
I refer once again to the classic 1999 The Onion headline: Eggs Good for You This Week.
, too big to know
Tagged with: 2b2k
Date: September 10th, 2012 dw
Ars Technica has a post about Wikidata, a proposed new project from the folks that brought you Wikipedia. From the project’s introductory page:
Many Wikipedia articles contain facts and connections to other articles that are not easily understood by a computer, like the population of a country or the place of birth of an actor. In Wikidata you will be able to enter that information in a way that makes it processable by the computer. This means that the machine can provide it in different languages, use it to create overviews of such data, like lists or charts, or answer questions that can hardly be answered automatically today.
Because I had some questions not addressed in the Wikidata pages that I saw, I went onto the Wikidata IRC chat (http://webchat.freenode.net/?channels=#wikimedia-wikidata) where Denny_WMDE answered some questions for me.
[11:29] hi. I’m very interested in wikidata and am trying to write a brief blog post, and have a n00b question.
[11:29] go ahead!
[11:30] When there’s disagreement about a fact, will there be a discussion page where the differences can be worked through in public?
[11:30] two-fold answer
[11:30] 1. there will be a discussion page, yes
[11:31] 2. every fact can always have references accompanying it. so it is not about “does berlin really have 3.5 mio people” but about “does source X say that berlin has 3.5 mio people”
[11:31] wikidata is not about truth
[11:31] but about referenceable facts
When I asked which fact would make it into an article’s info box when the facts are contested, Denny_WMDE replied that they’re working on this, and will post a proposal for discussion.
So, on the one hand, Wikidata is further commoditizing facts: making them easier and thus less expensive to find and “consume.” Historically, this is a good thing. Literacy did this. Tables of logarithms did it. Almanacs did it. Wikipedia has commoditized a level of knowledge one up from facts. Now Wikidata is doing it for facts in a way that not only will make them easy to look up, but will enable them to serve as data in computational quests, such as finding every city with a population of at least 100,000 that has an average temperature below 60F.
On the other hand, because Wikidata is doing this commoditizing in a networked space, its facts are themselves links — “referenceable facts” are both facts that can be referenced, and simultaneously facts that come with links to their own references. This is what Too Big to Know calls “networked facts.” Those references serve at least three purposes: 1. They let us judge the reliability of the fact. 2. They give us a pointer out into the endless web of facts and references. 3. They remind us that facts are not where the human responsibility for truth ends.
, too big to know
Tagged with: 2b2k
• big data
Date: March 31st, 2012 dw
Scott F. Johnson has posted a dystopic provocation about the present of digital scholarship and possibly about its future.
Here’s the crux of his argument:
… as the deluge of information increases at a very fast pace — including both the digitization of scholarly materials unavailable in digital form previously and the new production of journals and books in digital form — and as the tools that scholars use to sift, sort, and search this material are increasingly unable to keep up — either by being limited in terms of the sheer amount of data they can deal with, or in terms of becoming so complex in terms of usability that the average scholar can’t use it — then the less likely it will be that a scholar can adequately cover the research material and write a convincing scholarly narrative today.
Thus, I would argue that in the future, when the computational tools (whatever they may be) eventually develop to a point of dealing profitably with the new deluge of digital scholarship, the backward-looking view of scholarship in our current transitional period may be generally disparaging. It may be so disparaging, in fact, that the scholarship of our generation will be seen as not trustworthy, or inherently compromised in some way by comparison with what came before (pre-digital) and what will come after (sophisticatedly digital).
Scott tentatively concludes:
For the moment one solution is to read less, but better. This may seem a luddite approach to the problem, but what other choice is there?
First, I should point out that the rest of Scott’s post makes it clear that he’s no Luddite. He understands the advantages of digital scholarship. But I look at this a little differently.
I agree with most of Scott’s description of the current state of digital scholarship and with the inevitability of an ever increasing deluge of scholarly digital material. But, I think the issue is not that the filters won’t be able to keep up with the deluge. Rather, I think we’re just going to have to give up on the idea of “keeping up” — much as newspapers and half hour news broadcasts have to give up the pretense that they are covering all the day’s events. The idea of coverage was always an internalization of the limitation of the old media, as if a newspaper, a broadcast, or even the lifetime of a scholar could embrace everything important there is to know about a field. Now the Net has made clear to us what we knew all along: most of what knowledge wanted to do was a mere dream.
So, for me the question is what scholarship and expertise look like when they cannot attain a sense of mastery by artificial limiting the material with which they have to deal. It was much easier when you only had to read at the pace of the publishers. Now you’d have to read at the pace of the writers…and there are so many more writers! So, lacking a canon, how can there be experts? How can you be a scholar?
I’m bad at predicting the future, and I don’t know if Scott is right that we will eventually develop such powerful search and filtering tools that the current generation of scholars will look betwixt-and-between fools (or as an “asterisk,” as Scott says). There’s an argument that even if the pace of growth slows, the pace of complexification will increase. In any case, I’d guess that deep scholars will continue to exist because that’s more a personality trait than a function of the available materials. For example, I’m currently reading Armies of Heaven, by Jay Rubenstein. The depth of his knowledge about the First Crusade is astounding. Astounding. As more of the works he consulted come on line, other scholars of similar temperament will find it easier to pursue their deep scholarship. They will read less and better not as a tactic but because that’s how the world beckons to them. But the Net will also support scholars who want to read faster and do more connecting. Finally (and to me most interestingly) the Net is already helping us to address the scaling problem by facilitating the move of knowledge from books to networks. Books don’t scale. Networks do. Although, yes, that fundamentally changes the nature of knowledge and scholarship.
[Note: My initial post embedded one draft inside another and was a total mess. Ack. I've cleaned it up - Oct. 26, 2011, 4:03pm edt.]
, too big to know
Tagged with: 2b2k
• open access
Date: October 26th, 2011 dw
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