New Kind »

Is Jaron Lanier just a hater, or should we be paying attention?

Last week, my friend Greg DeKoenigsberg posted an article about Jaron Lanier’s negative comments regarding open textbooks. At almost very same time, I happened to stumble upon an article Jaron wrote back in 2006 criticizing Wikipedia.

The common theme is Jaron taking issue with what he calls “online collectivism,” “the hive mind,” and even “digital Maoism” (ouch!). You might call this same concept “crowdsourcing” or “the wisdom of crowds.” It’s all in the eye of the beholder, but the guy clearly does not have much love for wikis or the works of collective wisdom they create.

So I had to ask myself: Why so negative, Jaron?

Is Jaron really a hater of free culture, as Greg claims in his article? Is he an enemy of the open source way? Or is he just a smart dude warning us about the risks of taking the wisdom-of-crowds concept too far?

Fortunately for us, Jaron published a book earlier this year entitled You Are Not A Gadget. So I took a few hours and read it last week to see if I could answer some of these questions.

At times, the book is scary smart, with precise analysis from a man who clearly questions everything, and is in a better intellectual position to do so than most (the section on social media and its redefinition of friendship is especially interesting).

At other times it read like a college philosophy term paper. And occassionally, especially toward then end, it devolved into nearly unintelligeble (at least by me) ravings about things like “postsymbolic communication” and “bachelardian neoteny” (Michael Agger’s review in Slate calls him out for this too).

But wait! Right near the beginning of the book, I found this paragraph:

“Emphasizing the crowd means deemphasizing individual humans in the design of society, and when you ask people not to be people, they revert to bad, moblike behaviors.”

Hey… I kinda agree with that…

[Read the rest of this post on opensource.com]

Five questions about the future of music with David Pakman

Traditional media companies are in big trouble. You may have noticed. You know who else has noticed? David Pakman, currently a partner at the prestigious Venrock venture capital firm. You may also know David as the former CEO of eMusic—a fairly disruptive media company in its own right. David has over 300,000 Twitter followers and regularly blogs here about the “undoing of big media.”

Today, we ask him five questions about where the future of music intersects with the open source way.

1. One of the beautiful things about the open source software revolution is it lowered the barrier to entry for developers who wanted to create useful software. Meaning, without going to fancy schools or working for big Silicon Valley tech companies, people in any part of the world with any level of experience could contribute, and if their code was good, they were in. Is the barrier to entry for artists trying to make it in the music industry getting lower too? It sure doesn’t feel like it sometimes.

I think the barrier to entry to write or make music has always been pretty low. Provided you can learn how to play an instrument, you can write songs. The encroachment of technology into every facet of music making has lowered this barrier even further. An entire album can be recorded at great quality in a basement with a Mac and some bundled software. DJ equipment isn’t even needed anymore — you can do it all on your Mac.

The challenges have always been around marketing and distribution, and the internet changed all that. Anyone can launch a site or a myspace page and offer downloads of their music. In 2008, more than 38,000 new records were released. This was the most ever.

Becoming commercially successful by selling music or touring has never been harder, and that is because fewer people are buying music and consumers have more entertainment choices than ever before. So while it’s easier to make music, it’s harder to make a living making music.

[Read the rest of this post on opensource.com]

What if politicians innovated the open source way?

In the discussions around some of my previous articles, I’ve noticed a trend: we seem to be focusing on cultural changes that need to be made for the open source way to be effective in contexts beyond technology. One cultural context I think could really use some help is politics.

I read an interesting post last week by Morton Hansen (author of Collaboration: How Leaders Avoid the Traps, Create Unity, and Reap Big Results) entitled Obama’s Five Collaboration Mistakes. In the comments below the post, some folks interpreted his words as an attack on the Obama administration. Me? I’d probably interpret Hansen’s words more broadly. Perhaps something like:

Politicians are pretty darned bad at collaborating a lot of the time.

I think many folks would agree with this statement no matter where they sit politically. No matter where they live around the world.

In fact, the word “political” has become almost synonymous with anti-collaborative behavior in many contexts. Certainly in the business world.

But there is a lot a stake here. The economic downturn has hurt our businesses badly. And this has affected many of us in even more personal ways. Jobs. Homes. Security.

We need innovation in the political world to help solve the problems of the business world. Which means we are going to need better collaboration across political boundaries, both inside and between our countries.

Could we open source folks help?

[Read the rest of this article on opensource.com]

Building a practice out of building communities

Lately we’ve been working with the public sector on some community building efforts. In a recent session we introduced a team to open source principles, general use of collaborative web technologies, and the latest on-line civic participation work. Then, we asked them to do some searching on their own for public sector platforms or campaigns for participation.

Here’s what they came up with during the short span of time. You may have seen most of these sites, and many more are out there. The team was quick to point out that some organizations are definitely doing it better than others. If you have stellar, or not-so-stellar, examples share them.

Open Government Innovations Gallery
Santa Cruz Budget
Wikified Army Field Guide
CDC IdeaLab
Regulations.gov
Apps for Democracy
Massachusetts Open Data Initiative
Data.gov
Kansas Transportation Online Community

Clearly, it’s no longer groundbreaking. And, as people make that necessary switch from evangelist to practitioner, the question should be: Are we paying attention and doing things as effectively as we can?

Not all these efforts have the same aim, and with the ever-maturing taxonomy of all things open it’s important to know what model is best suited for the situation. But, what we’re interested in is community building. The most basic distinction we can make is the difference between the two often-thrown around terms crowdsourcing and open source, as David and Chris each wrote here and here, respectively.

This is where the real work and next frontier for practitioners exists. It’s not just technology, press releases, or prize money. Rather, it’s the overall strategy, design, and message of the platform (loosely defined) constructed and carried out as a coherent method for creating and engaging a community.

There are some things to pay attention to here. They might be brushed off as questions and challenges, but more importantly they’re opportunities to do things well.

-Is what we’re asking of the community in line with interest and ability?

-Are there clear goals; ones either agreed to or developed by the community?

-Is this platform reinforcing or improving a representative democracy and all that comes with it, rather than replacing or detracting from it?

-How sustainable is the community, should it be a short-term or a long-term effort?

-Do we have a way to measure the health of the community and the know-how and tools to guide it when needed?

-Are the legal and technical dimensions set appropriately so that innovation happens within and external to the community?

-Do we bring the right physical world characteristics, attitudes, and norms that we want and maybe discourage the ones we don’t want?

-Do we have an idea of even what this “we” means and where that “we” should fall on the spectrum from free-for-all to facilitator to despot?

These are just a handful of the things we work on and pay attention to daily (along with my collaborators at Georgia Tech). Anyone embarking on a community building or participation project, especially in the public sector, needs to be, too. Community building like many things will always be more of an art than a science, but with the growing examples out there we need to do a better job generalizing knowledge from both successes and failures.

Tinkering with a brand, whether public or private, and requesting the participation and precious time of others, is not something where you just roll out a platform and hope. We can and should get to the point where there is a degree of certainty in practice. And, of course, share the knowledge.

Trumping Innovation

We can talk about creativity and innovation all day long, meld the culture, design the space, set up the infrastructure, and have a repeatable process for bringing ideas to market; but, the ultimate constraint and arbiter — making all other efforts useless — is the legal system.

Protecting something as intellectual property is about balancing returns to society and compensation to a creator. We want society to benefit from a creator’s creation, but enough incentive must compel creators to do their thing.

Enough being the key word and one big, gray space. If a government misses that mark of protection in either direction, society can lose out on innovation. The issue is this mark changes based on the type of intellectual property. Business methods, when protected, have a different balance of returns to society and creator, than software, and pharmaceuticals.

Not that everyone views it that way or the law treats it that way, which is why a current Supreme Court case is important to watch.

Monday, the Court heard Bilski v. Kappos, a case that brings business method patents to the forefront. Previously, the Federal Circuit ruled Bilski’s business method wasn’t patentable because it wasn’t “…tied to a particular machine or apparatus, [nor did it] transform a particular article into a different state or thing.”

Bilski is calling into question the efficacy and legitimacy of what’s called the “machine-or-transformation” test. By telling Bilski his business method wasn’t protected, the Federal Circuit may have invalidated existing patents for business methods.

But, bringing into question the machine-or-transformation test may also have implications for the software industry. At one end, since source code must be run on a machine to do anything, it could be interpreted all software is patentable.

Or, in the view of the Software Freedom Law Center, source code is simply an algorithm we can comprehend, and algorithms themselves aren’t patentable.

Additionally, there are economic arguments that creativity and innovation in software just doesn’t really work that way. Allowing patenting of software led to significant societal inefficiencies like patent thickets, bloated legal departments, patent trolls, and risk-averse companies—all wasting money and limiting innovation.

Just thinking about business methods, does having a legal-based incentive to come up with a new way of doing business increase the rate of new business creation or improve the quality of innovation?

Without the protection, does the effect of essentially forcing businesses to compete on other aspects (really, compete at all), rather than just on who did it first, outweigh what we would gain from preserving/expanding business method patents?

(Of course, this is the economic view, and potentially only figures into a portion of court decision making.)

Leaving the issue of software aside, the Justices showed quite some skepticism of Bilski’s claims yesterday:

“Let’s take training horses,” said Justice Antonin Scalia. “Don’t you think that some people, horse whisperers or others, had some … insights into the best way to train horses? Why didn’t anybody patent those things?”

“I think our economy was based on industrial processes,” responded [Bilski's lawyer].

“It was based on horses, for Pete’s sake!” said Scalia.  “I would really have thought somebody would have patented that.”
(Joe Mullins Reports in American Lawyer)

It’s predictable, but still interesting to see who lines up on each side, or who actively doesn’t choose a side in the amicus briefs.

For a longer treatment on the economics of innovation, check out this book.

The next challenge for open source.

In the software development industry the results are in and open source is the winner. As Matt Asay predicts in a recent blog, future dialogues about open source will be less about evangelism and there will be more focus on putting open source into practice.

Which forces us to look, fundamentally, at exactly what we’re putting into practice? Open source software? Or open source itself? What do we mean when we say open source?

At New Kind, we believe that open source is— simply stated—  a beautiful and effective way to scale creative thinking and culture. What is amazing is the rapid acceptance of “open source” beyond software development. Today businesses are looking at open source as a way to create new business models, new management strategies, new marketing, innovation and community-building paradigms.

As we’ve noted before (and will, no doubt continue to note) evangelists in this broader understanding of open source include many of the world’s most influential business thinkers including Gary Hamel, Roger Martin and Tom Peters. Two weeks ago I watched Coke’s VP of Global Branding— David Butler— introduce open source as a powerful branding/design concept to AIGA’s national conference for professional designers. These speakers are not referring to open source software.

But, through the proven success of the open source software development model, in part, they have discovered the competitive power of such creative collaborative, design thinking cultures. And they are advising today’s business leaders to rapidly adopt these new kinds of models across their organizations; internally and externally.

Acceptance will be slow among executives who are just now being introduced to open source creative models. Hamel says they are locked into “archaic beliefs” that must be changed if they are to remain competitive. It took nearly 15 years for the technology acceptance; how long will this take?

The time is now. For organizations where innovation is now a strategic necessity, open source creative cultures are a powerful if frightening alternative to the habitual thinking of analytical-driven, MBA-type cultures. As Martin’s book The Responsibility Virus makes clear, fear is a powerful force that shuts down innovation. Most executives and senior managers have little clue how strongly fear influences their thinking and actions, and the effect that has on the competitive positioning of the organizations they lead.

Open source and design thinking are anecdotes. But there are countless traditional players— individuals and corporations; large and powerful— who have no interest in seeing new competitive threats to their status quo arise. Open source is revolutionary change; landowners seldom start revolutions. These players will not welcome the change open source promises. And they will not play nicely.

Such opposition will look for evidence that open source doesn’t work. To borrow Roger Martin’s language, “reliable” actions will trump more “viable” solutions. When they find ‘reliable’ evidence, they can and will be ruthless adversaries. Open source practitioners must not be naive; evangelism can become a detriment in this environment. Even the Christian Bible (a fair prophet on evangelism) warns, “Faith without works is dead.”

In that context, Matt Asay is correct. Evangelist must begin to play a secondary role to the practitioner. And if Malcolm Gladwell is right, then it takes 10,000 hours for an individual to grasp the nuance and expertise necessary to play that role. That’s a small community of practitioners.

That’s the next challenge for open source.

……………………..

additional resources:

https://www.mckinseyquarterly.com/ghost.aspx?ID=/Strategy/Innovation/Innovative_management_A_conversation_between_Gary_Hamel_and_Lowell_Bryan_2065

http://www.rotman.utoronto.ca/rogermartin/publications.htm

Putting Humans Back in Economics

The idea of community governance is getting a little more respect these days.  Over the past few decades scholars have studied a host of communities that hold natural resources in common, such as forests or fisheries. We know now, it doesn’t always have to be an either-or of each against all in the market or total government control, but that sometimes an emergent community governance can work to steward resources.

These studies are useful to find what we can learn about how communities work, or  don’t work, and apply it in situations not only where geography is the tying factor, but also in online communities or information goods.  The Nobel committee gave a nod to the field this week awarding Elinor Ostrom, a political scientist at Indiana University, 1/2 of the Nobel Prize in economics.

Prior to her work, there were three generally accepted solutions to overcome Hardin’s tragedy of the commons, where resources accessible by many are over-harvested until it’s too late: 1) put ownership under one roof (monopoly control); 2) in very limited situations have the parties negotiate themselves (Coasian bargaining); or 3) have government step in and set up a system.

Ostrom’s work highlights a middle of the road way, where the market isn’t fully relied on, nor complete government control, but rather an emergent community governance.

This post can’t do justice to a prolific researcher working since her dissertation in 1965, but here are four prominent themes:

1. Self-governance can work Systems are more likely to be successful when the rules and their enforcement come from the community itself.

2. Start small Scaling up to bigger successes is more likely after building momentum from smaller community successes.

3. Best ideas win Resiliency in part comes from good conflict resolution and flexibility to change rules and practices over time to things that work.

4. Facilitate personal interaction Communication and trust are of utmost importance. We gravitate toward trust and reciprocity first, but when burned, don’t quickly return to a state of trust.

Sure, the body of her work focuses on natural resources, where individuals in the community primarily want to extract some value.  More recently, though, Ostrom and others have started to turn toward information goods.

We could look at open source or other forms of open as a sort of reverse common pool resource. Instead of taking things out, we’re concerned about sustaining the inputs, or keeping things going. Open source isn’t free form, but of course it’s by no means perfectly controlled and proprietary.  Forking and poor governance can lead to loss of mindshare and dwindling source.  On the output side, when you start to deal with  access restrictions through copyright, patents, or digital rights management, the differences with Ostrom’s studies aren’t so big.

To be sure, the message is not that these arrangements are easy to come by or always work, but that they do exist and when they work, they work pretty darn well.

Rather than pretend she could formulate, in her words, an institutional panacea that would work everywhere, or give up and cry that everything is a one-off, she sought to build a set of design principles that can inform our understanding of how things work, but still be applied elsewhere.  Ostrom also worked on not just theory development, but extensive field work and case studies, supplemented by controlled laboratory experiments revealing often hidden, but present human behaviors.

This prize and her work are important not just for the content, but also for the shift to an appreciation for economic inquiry centered around humans that actually behave, well, like humans—a more realistic, albeit messier field, as Dan Ariely, a behavioral economist at Duke University, points out in “The End of Rational Economics.”

For further reading:

Social Science Research Network holds almost 20 free papers

Amazon lists 70 authored or edited titles