Category Archives: Knowledge Creation

An Announcement

spirals by hendriko
All the details have been finalized for a three hour seminar SpreadingScience is sponsoring entitled

Transformed! Information, Bioscience and Web 2.0

October 7, 2008 6-9 PM
Lake Washington Rowing Club
910 N. Northlake Way
Seattle WA

The seminar will be given by Richard Gayle, Ph.D. and Mark Minie, Ph.D. It is geared for a general audience that includes researchers, lawyers, clinicians and anyone else interested in using modern technology to solve today’s problems. It will have three segments:

  1. The Transformation of Information into Knowledge
    Knowledge is the ability to make a decision, to perform an action. The knowledge creation cycle begins with data. Human social interactions transform data into knowledge. Social networks evolved to provide primates with diverse solutions to complex problems. However, there appear to be hardwired barriers to the size of these social networks, limiting the scope and complexities of the problems that can be solved. The huge amount of information being generated overwhelms these barriers. The difficult problems facing us today are too complex to be solved only the tools we evolved. We must use new digital tools to amplify our inherent abilities.
  2. The Transformation of Bioscience by Information
    Biology is now a branch of Information Science, and important new research, discovery and invention is taking place on the World Wide Web. From computer gaming/education to personal genomics, biological engineering and robotics, bioscience is undergoing a true renaissance with previously unexpected impact and dividends. This segment will explore bioscience’s new life on the Internet. It will focus on specific examples and new tools with potential practical uses for both scientists and non-scientists alike.
  3. The Web 2.0 Transformation
    Web 2.0 is about online conversations. These tools often remove the need for people to occupy the same space at the same time in order to transform information into knowledge. They permit the examination and understanding of human social networks many times larger than our hardwired limits. This enhances the ability to create knowledge and to increase the rate of diffusion of information in an organization. Communities that can use Web 2.0 tools to leverage human social networks will solve complex problems more rapidly than those that do not.

There is a glut of data in the world today. Our normal processes to deal with this glut – the interactions in a human social network – are overwhelmed. However, the same technologies that are permitting such huge amount of data to be created can also help us enhance our social network interactions, providing organizations with the possibility of solving much more complex problems than before.

 

Please join us on October 7 as we provide a foundation for understanding how Bioscience is being transformed by information and how we can use novel tools to leverage this transformation into critical solutions .

Until September 23, the cost is $175. After that date it rises to $225. So register early!

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More on Pixar

 36 90845903 18Aefab43C by pheezy
The Pixar Principles. The Art of Collective Creativity:
[Via Creativity Central]

The Previews:

When I freelanced for Disney, they still required creatives to punch a time clock. Women with tight-fitting hair nets roamed the halls with coffee and doughnuts. And the circular dining hall was festooned with pictures of Walt and Roy and executives like Card Walker.

Chances are somewhere in that group of diners was John Lasseter. John was an animator who left Disney to become part of the computer division of Lucasfilm. Steve Jobs bought the fledging company and renamed it Pixar, a fake Spanish word meaning “to make pictures or pixels.”

Jobs, Lasseter and Dr. Ed Catmull overcame a roller-coaster of financial challenges and turned Pixar into a dream company. Ed Catmull isn’t a name most people don’t know outside of the animation world. At Pixar, he not only co-founded the company, he was the key developer of the RenderMan rendering system used in such films as Toy Story and Finding Nemo.

Recently, Catmull wrote a terrific article for the Harvard Business Review called “How Pixar Fosters Collective Creativity.” His insights into developing a culture of collaboration and sustaining that culture are an important lesson for other creative organizations.

The Harvard Business Review article has the audio if you want to hear the whole thing.I wrote previously about Pixar in three posts entitled The Synthetic Organization part 1, part 2 and part 3. They discuss my view that Pixar may be a model for a new type of company, one based on many of the principles of Web 2.0 – openness, transparency, rapid diffusion of innovations.

This audio from the Ed Catmull is very useful. He wanted to create a creativity inspired company that is self-sustaining, that no longer needs the vision of a few people at the top to maintain innovation. Marty Baker at Creativity Central breaks some of this down. He presents the key insights:

Pixar’s Operating Principles can be distilled down to 3 principles.

1. Everyone must have the freedom to communicate with anyone.

2. It must be safe for everyone to offer ideas.

3. We must stay close to innovations happening in the academic community.

In addition, many decisions at Pixar take place in a social setting, with a level playing field. That is, there is no organizational chart when it comes to examining problems, the goal is to fix the problem not to assign blame.

Web 2.0 approaches work well in this sort of setting since it is hard to dominate a conversation simply because you are a VP. Everyone’s voice, their criticism, their suggestions, has a more equal standing than in a normal conference room. The lack of many of the non-verbal communications of status makes it easier for the goal of creativity to reached.

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Digital notebooks

lab notebook by Marcin Wichary
Electronic notebooks are cool, and so is RDF:
[Via business|bytes|genes|molecules]

Had a conversation earlier today, all about RDF and linked data. I am a big believer, which is why posts like this one by Cameron Neylon on A new way of looking at science? bring a smile.

Andrew Milsted, a PhD student, enabled an RDF dump of the content in the lab notebook used by Cameron’s group (and others I suspect). The result, a graph that shows each post in the notebook as a node and links between posts as edges. It is a universe of the work going on in the lab, and how that work interacts. It would be interesting to see the dynamics of this graph evolve, and various other ways of visualizing the underlying data and relationships. It would also be cool to put this up on the web as linked data and link it to data outside Cameron’s lab. Might even lead to some very interesting observations and relationships.

This is a simple example, but highlights why it is so important to be able to put data into machine readable formats. RDF is a naturally good model, since it highlights relationships within the underlying data.

In the not too distant future, lab notebooks will be digitized and all the info will be available online, at least for the use of the researchers creating the data. This will be because most of the experimental results will be in digital form, making it much easier to attach them to the electronic notebook but also because the work can be accessed and examined in totally novel ways.

As shown here, the digital material can be examined for links and mined in ways that are just impossible today. Linkages between pages, data and comments could be examined. Possible relationships between projects could be highlighted. Areas for collaboration could be determined.

Context can be added to data in order to create a deeper examination of the information created.

The groups that more rapidly embrace these sorts of approaches will be able to turn the creativity cycle faster, increase the rates of diffusion of innovation in the community and find solutions to complex problems that are unsolvable by simply analog approaches.

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The four ‘ayes’

Kansas, We Owe You One (Updated Election Video):
[Via Common Craft – Explanations In Plain English –]

I’m not sure how this happened, but there is an error in the original version of the “Electing a US President” video. The original version says that there are 3 congressional districts in Kansas. As we discovered today, via a nice email from Gerry Deman of Kansas, there are actually 4 districts.

Here’s what we’re doing about it:

We have created a new, corrected version of the video. It’s embedded below and we have replaced the video on the original blog entry (and embed code) with this new version. We’ve also replaced the downloadable versions in the Store and other places where it is shared.

Unfortunately, this means that two versions will exist on YouTube, because it’s impossible to replace a video. By deleting the original version, we break the connections to the You Tube players on blogs that embedded it. If you embedded the original version, please do replace the video with this new version.

It’s a good thing that folks like you keep us in check so we can limit the potential confusion. We’ll count better next time, I promise.

So the video put up yesterday had an error – The wrong number of congressional districts in Kansas. A trivial fact in the scheme of the presentation but one noticed by someone in the community.

After being made aware of the error, it was a pretty easy thing to fix. And, because of the ease of use for current Web 2.0 tools, the new version was up and running very quickly.

This is an example of how the iterative process found with Web 2.0 conversations can investigate some information, identify where it can be improved and then implement those changes rapidly.

The Four ‘Ayes’ of the Iterative process:

  • investigate
  • identify
  • improve
  • implement

The more rapid each turn of the iterative process is, the faster perfection is approached.

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Just a taste

atomium by txd
What Social Media Does Best:
[Via chrisbrogan.com]
Before Chris starts his list he has this to say:

If you’re still looking for the best ways to explain to senior management or your team or your coworkers or your spouse what it is that social media does, why it’s different than the old way people used to use computers and the web, why people are giving two hoots about it, here are some thoughts to start out the conversation. I look at this mostly from a business perspective, but I suspect you’ll find these apply to nonprofits and other organizations as well. Further, as I’m fond of saying, social media isn’t relegated to the marketing and PR teams. It’s a bunch of tools that can be used throughout businesses, in different forms. Think on this.

I’m not going to list all of Chris’ points but here are a few to whet your appetite.

Blogs allow chronological organization of thoughts, status, ideas. This means more permanence than emails.

The organizational aspects of blogs are one of their most overlooked features.

Social networks encourage collaboration, can replace intranets and corporate directories, and can promote non-email conversation channels.

Email is not optimized for the sorts information transfer that it is used for. It also makes it impossible to really know just who should see the information. Social networks open this up and make it highly likely that the right information to get to the right people.

Social networks can amass like-minded people around shared interests with little external force, no organizational center, and a group sense of what is important and what comes next.

Ad hoc group creation is one of the best aspects of social networks. Rapid dispersal of information amongst a small, focussed group can occur independent of the need for everyone occupy similar space at the same time, as is done in meetings.

Blogs and wikis encourage conversations, sharing, creation.

Facilitating conversations increases information flow, speeding up the creativity cycle

Social networks are full of prospecting and lead generation information for sales and marketing.

This applies to a much wider group than just sales and marketing because at some level, everyone at an innovative organization needs to look for leads.

Blogs allow you to speak your mind, and let the rest of the world know your thought processes and mindsets.

The personal nature of many social media tools helps enhance the ability of a group to innovate rapidly, without the feeling of a restricting hierarchy that can diminish creativity.

Tagging and sharing and all the other activities common on the social Web mean that information gets passed around much faster.

Web 2.0 approaches make it much easier to find information, even though there is more of it.

Innovation works much faster in a social software environment, open source or otherwise.

The diffusion of innovation throughout an organization is really dependent on the social network of that group, how well connected it is, how people communicate, etc. Social media allows innovation to spread much more rapidly, decreasing the rate of diffusion and allowing the creativity cycle to crank much faster.

People feel heard.

This is a big one. Studies have shown that if people feel that their viewpoint is not heard and do not understand the rationale for a decision they become the most upset. Having a chance to be a part of the discussion can make a big difference, even if they do not agree with the final decision.

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Scientific commuity building

sand by …†∆†¡∆µ∆
Building scientific communities:
[Via business|bytes|genes|molecules]
Here is an interesting point that should be discussed more, especially with scientific community building (my bolding).

I will start with something I have quoted all too often

Data finds data, then people find people

That quote by Jon Udell, channeling Jeff Jonas is one that, to me at least, defines what the modern web is all about. Too many people tend to put the people first, but in the end without common data to commune around, there can be no communities.

A community needs a purpose to exist, a reason to come together. Some communities arise because of similar political or gardening interests. Most research communities come together for one major reason – to deal with data.

Now data simply exists, like grains of sand. It requires human interaction to gain context and become information. In social settings, this information can be transformed into the knowledge that allows a decision to be made, decisions such as ‘I need to redo the experiment’ or ‘I can now publish.’

It used to be possible for a single researcher, or a small number, to examine a single handful of sand in order to generate information needed to answer scientific questions. Now we have to examine an entire beach or even an entire coastline. A much larger group of people must now be brought together to provide context for this data in any reasonable timeframe.

However, standard approaches are too slow and cumbersome. When one group can add 45 billion bases of DNA sequence to the databases a week, the solution cycle has to be shortened.

Science is an intellectual pursuit, whether it is formal academic science or just casual common interest. That’s where all the tools available today come into the picture. The data has always been there. Whether at the backend, or at the front end, we can think about how to get everything together, but being able to discovery and find some utility is very important. One of the reasons the informatics community seems to thrive online, apart from inherent curiosity and interest in such matters, is that we have a general set of interests to talk about, from programming languages, to tools to methods, to just whining about the fact that we spend too much time data munging. Successful life science communities need that common ground. In a blog post, Egon talks about JMOL and CDK. Why would I participate in the CDK community, or the JMOL one? Cause I have some interest in using or modifying JMOL, or finding out more about the CDK toolkit and perhaps using it. Successful communities are the ones that can take this mutual interest around the data and bring together the people.

Part of what is being discussed here is a common language and interest that allows rapid interactions amongst a group. In some ways, this is not different than a bunch of people coalescing around a cult TV show and forming a community. A difference is that the latter is a way to transform information that has purely entertainment value.

The researchers are actually trying to get their work done. What Web 2.0 approaches do is permit scientists to come together in virtual ad hoc communities to examine large amounts of data and help transform that into knowledge. Instead of one handful at a time, buckets and truckloads of sand can be examined at one time, with a degree of intensity impossible for a small group.

The size and depth of these ad hoc communities, as well as their longevity, will depend on the size of the beach, just how much data must be examined. But I guarantee that there will always be more data to examine, even after publication.

So my advice to anyone building a scientific community (the one that jumped out at me during the workshop was the EcoliHub) is to think about what the underlying data that could bring together people is first. Data here is used in a general sense. Not just scientific raw data, but information and interests as well. Then trying and figure out what the goals are that will make these people come together around the data and then figure out what the best mechanism for that might be. Don’t put the cart before the horse. In most such cases, you need a critical mass to make a community successful, to truly benefit from the wealth of networks. In science that’s often hard, so any misstep in step 1, will usually end up in a community that has little or no traction.

EcoliHub is a great example of a website in the wild that is supported almost entirely in an Open Source fashion. This is a nice way to create a very strong community focussed on a single, rich topic. On the wide open Internet, though, it may be harder for smaller communities to come into existence, simply because of how hard it might be for the individual members of the community to find one another.

But there are other processes allowing other communities to come together with smaller goals and more focussed needs. The decoupling of time and space seen with Web 2.0 approaches, frees these groups from having to wait until the participants can occupy the same space at the same time. These group can examine a large amount of data rapidly and move on. There is not the need to assure the community that it will be around for a long time.

This is the sort of community that may be more likely to come into existence inside an organization. There are other pressures that drive the creation of these types of groups than simply a desire to talk with people of similar interests about some data.

A grant deadline for example.

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Life scientists at Friendfeed

Life Sciences likes this: Friendfeed:
[Via OpenWetWare]

FriendFeed
I’m going to assume that only those currently using FriendFeed will understand the self reference in the title but if you didn’t that’s OK. Just keep on reading, you’ll get it, eventually.

If you happen to be interested or work in the life sciences area I’d recommend you take a few minutes to read Cameron Neylon‘s great post about FriendFeed and how it’s been embraced by the life sciences community.

I won’t go into the details of how FriendFeed works, but it’s been rapidly gaining momentum as a medium for groups of users to network and discuss each other’s shared content.

FriendFeed’s about page states:

FriendFeed enables you to keep up-to-date on the web pages, photos, videos and music that your friends and family are sharing. It offers a unique way to discover and discuss information among friends

The life sciences community has picked up on this great website like wildfire. A recently created room called The Life Scientists grew in a very short period (a week?) from just a few active online colleagues to a whooping 100+ users.

FriendFeed rooms offer a way to share on-topic content and further discussion via comments. Commenting can be done on any shared items (yours or others). This has proven to be useful for rapid input and idea sharing amongst the room’s users.

Amongst the 100+ users of the Life Scientists room, both Cameron from Science in the Open and Pedro from Public Rambling have found FriendFeed to be useful and explain why it works. Both great reads.

This is the sort of tool that can very rapidly connect researchers, in ways that Twitter or Facebook do not. Not only can links be put up rapidly but comments are there very fast. It allows one to ask questions, post answers. It is a lot like how the Bionet newsgroup, which you can still access, used to be back in the old days (i.e. 1993-95) when Usenet ruled the Internet.

This is the online equivalent of the water cooler where you can run into someone and strike up a conversation that could lead to innovative thinking. Only instead of two people having to occupy the same space at the same time, this approach decouples both, permitting a much wider circle of people to be involved.

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This is important

RNA Tie Club from Alexander Rich

Kevin Kelly — The Technium:
[Via The Technium]

Scenius is like genius, only embedded in a scene rather than in genes. Brian Eno suggested the word to convey the extreme creativity that groups, places or “scenes” can occasionally generate. His actual definition is: “Scenius stands for the intelligence and the intuition of a whole cultural scene. It is the communal form of the concept of the genius.”

Individuals immersed in a productive scenius will blossom and produce their best work. When buoyed by scenius, you act like genius. Your like-minded peers, and the entire environment inspire you.

The geography of scenius is nurtured by several factors:

Mutual appreciation — Risky moves are applauded by the group, subtlety is appreciated, and friendly competition goads the shy. Scenius can be thought of as the best of peer pressure.
Rapid exchange of tools and techniques — As soon as something is invented, it is flaunted and then shared. Ideas flow quickly because they are flowing inside a common language and sensibility.
Network effects of success — When a record is broken, a hit happens, or breakthrough erupts, the success is claimed by the entire scene. This empowers the scene to further success.
Local tolerance for the novelties — The local “outside” does not push back too hard against the transgressions of the scene. The renegades and mavericks are protected by this buffer zone.

Scenius can erupt almost anywhere, and at different scales: in a corner of a company, in a neighborhood, or in an entire region.
[More]

Kevin discusses a specific instance of scenius but the idea is something that needs greater examination. Because innovation, creativity and new insights rarely if ever happen because of a single person in isolation. They happen in a social network made up of the right mix of people to allow innovation to blossom. However, an important aspect, especially today, is that the scene for this genius does not need to occupy the same space. The specific network can be made up of people physically separated.

An example from my set of the woods involves a single man who was able to create a scenius that transcended location. It starts at Cambridge University in England in the mid to late 1950s. Using their superb intellects and their well-connected social network, Watson and Crick were able to discern the structure of the DNA molecule. They published this in 1953.

Now this great discovery was noticed by a pre-eminent physicist, George Gamow, who, to my mind, is one of the great scientists of the 20th century, not only for his own work but for his impact on other scientists. Here is how Wikipedia starts his entry:

George Gamow (pronounced as IPA: [ˈgamof]) (March 4, 1904August 19, 1968) , born Georgiy Antonovich Gamov (Георгий Антонович Гамов), was a Russian Empire-born theoretical physicist and cosmologist. He discovered alpha decay via quantum tunneling and worked on radioactive decay of the atomic nucleus, star formation, stellar nucleosynthesis, big bang nucleosynthesis, nucleocosmogenesis and genetics.

Nice, wide ranging scientific career. Look at his accomplishments (again from Wikipedia):

Gamow produced an important cosmogony paper with his student Ralph Alpher, which was published as “The Origin of Chemical Elements” (Physical Review, April 1, 1948). This paper became known as the Alpher-Bethe-Gamow theory. (Gamow had added the name of Hans Bethe, listed on the article as “H. Bethe, Cornell University, Ithaca, New York” (who had not had any role in the paper) to make a pun on the first three letters of the Greek alphabet, alpha beta gamma.)

The paper outlined how the present levels of hydrogen and helium in the universe (which are thought to make up over 99% of all matter) could be largely explained by reactions that occurred during the “big bang“. This lent theoretical support to the big bang theory, although it did not explain the presence of elements heavier than helium (this was done later by Fred Hoyle).

In the paper, Gamow made an estimate of the strength of residual cosmic microwave background radiation (CMB). He predicted that the afterglow of big bang would have cooled down after billions of years, filling the universe with a radiation five degrees above absolute zero.

Gamow published another paper in the British journal Nature later in 1948, in which he developed equations for the mass and radius of a primordial galaxy (which typically contains about one hundred billion stars, each with a mass comparable with that of the sun).

Astronomers and scientists did not make any effort to detect this background radiation at that time, due to both a lack of interest and the immaturity of microwave observation. Consequently, Gamow’s prediction in support of the big bang was not substantiated until 1964, when Arno Penzias and Robert Wilson made the accidental discovery for which they were awarded the Nobel Prize in physics in 1978. Their work determined that the universe’s background radiation was 2.7 degrees above absolute zero, just 2.3 degrees lower than Gamow’s 1948 prediction.

I have to love any genius who authors a paper that makes such a great pun. Some of the best geniuses are great tricksters (Feynman loved to pick locks or break combination safes.)

But my story is not about Gamow and the big Bang theory. I’ll let this, from Nobelprize.org, discussing the breaking of the genetic code, provide some context for Gamow’s genius, and how he created a scenius that spanned continents:

When the structure of DNA was made known, many scientists were eager to read the message hidden in it. One was the Russian physicist George Gamow. Many researchers are ”lone rangers” but Gamow believed that the best way to move forward was through a joint effort, where scientists from different fields shared their ideas and results. In 1954, he founded the “RNA Tie Club.” Its aim was “to solve the riddle of the RNA structure and to understand how it built proteins.”

The brotherhood consisted of 20 regular members (one for each amino-acid), and four honorary members (one for each nucleotide in nucleic acid). The members all got woolen neckties, with an embroided green-and-yellow helix (idea and design by Gamow).

Among the members were many prominent scientists, eight of whom were or became Nobel Laureates. Such examples are James Watson, who in the club received the code PRO for the amino acid proline, Francis Crick (TYR for tyrosine) and Sydney Brenner (VAL for valine). Brenner was awarded the Nobel Prize in Physiology or Medicine as recently as 2002, for his discoveries concerning genetic regulation of organ development and programmed cell death.

Early Ideas Sprung from the “RNA Tie Club”

The members of the club met twice a year, and in the meantime they wrote each other letters where they put forward speculative new ideas, which were not yet ripe enough to be published in scientific journals.

In 1955 Francis Crick proposed his “Adapter Hypothesis,” which suggested that some (so far unknown) structure carried the amino acids and put them in the order corresponding to the sequence in the nucleic acid strand.

Gamow, on the other hand, used mathematics to establish the number of nucleotides that should be necessary to make up the code for one amino acid. He postulated that a three-letter nucleotide code would be enough to define all 20 amino acids.

Eight out of 20 won Nobel prizes (although there is some humorous ways to look at this that give better clues on how this was accomplished). Not very bad odds. Much like Kelly’s mountain climbers. The scenius attracts, nourishes and sprouts geniuses. But it is the first scientific scenius I am aware of that was not tethered to a single location and some very critical things came up from these interactions. For instance, Crick delineated the 20 amino acids used to make up proteins as an intellectual exercise, written on a pub napkin. He was right.

This group worked a lot to try and figure out how RNA made protein, thus the name RNA Tie Club (Gamow made sure each had an appropriate tie for their amino acid). There were many informal and speculative papers that they wrote to each other (remember that this was a time where biology and genetics were mainly descriptive. Speculation and deductive approaches to biology were not commonly used.) Many of these approaches were flat out wrong. But these errors allowed them to eventually gain some wisdom.

Some of the papers have become parts of biology lore, because the speculations turned out to be correct and led to really important breakthroughs in the field. Here is the most important one, Francis Crick and his Adaptor hypothesis, the paper for the RNA Tie Club that developed tRNA and a degenerate genetic code as a model. On Degenerate Templates and the Adaptor Hypothesis is one of the most famous unpublished papers I know of.

To get some idea of how this all worked, check out Watson’s response to Crick Adaptor paper for the RNA Tie Club. Watson was at CalTech at the time.

Gamow. was here for 4 days – rather exhausting as I do not live on Whiskey. Your TIECLUB note arrived during visit. Am not so pessimistic. Dislike adaptors. We must find RNA structure before we give up and return to viscosity and bird watching.

So, Gamow, who was at George Washington University at the time, was in California visiting one RNA Tie Member when the paper from another member arrived. Pretty interesting network.

So much of the early innovations in molecular biology were driven by the interactions of the RNA Tie club. All because a tricky physicist created a scenius without a specific location. Think what could be accomplished today with such a network using Science 2.0 approaches.

Being able to create and foster such a scenius will be an important part of many organizations.

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Online Water Coolers

gerbera by aussiegall
What’s Your Internal Social Networking Strategy?:
[Via Enterprise 2.0 Blog]

Nemertes recently noted that eighty-three percent of organizations are now “virtual” meaning that members of workgroups reside in physically separate locations. The emergence of the virtual workplace has radically changed not only how we communicate and collaborate, but how we build social bonds among employees.
[More]

Informal interactions are very important in any social network. They provide secondary routes for information to bypass chokepoints, they permit radically different viewpoints to influence the creation of knowledge and they are just plain fun.

If the only way any of us ever got to interact with someone was in a meeting with a defined agenda, there would be a greatly weakened social network.

Yet, our online interactions are often just like that: directed, well-scripted, little humanity. One reason blogs exist is to provide an outlet for some of our need to interact randomly, to gossip just a little, to ask ‘Did you hear about…’

It will be important for any defined internal online social network to provide this outlet. Because, frankly, if it is not provided, people will either ignore the network or find ways, perhaps inappropriately, to create such an outlet.

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Diversity creates knowledge

art by flikr
We Do Different Things:
[Via chrisbrogan.com]
The roles many blogs take, not surprisingly, are very different. They fulfill many of the same functions seen in face-to-face social networks: connector, innovator, aggregator, gossip, etc.

We do different things.

There’s nothing more flattering than being lumped in blog posts alongside Robert or Jason Calacanis or all the other folks who also write a blog on the web. But you have to realize that we do different things. (people are welcome to disagree with my characterizations of them).

Robert Scoble writes about really exciting new things, and he shows videos, and he connects humans, and he scours this space for new amazing things.

Louis Gray seems to own the aggregator/repurposing space, with things like FriendFeed, SocialThing, etc.

Seth Godin is a marketer’s marketer, and points out the human experience with products and services.

Jason Calacanis has a strong history in the web space, and also talks from a media maker’s perspective.

Jeremiah Owyang writes more analysis-based posts on social marketing as an industry.

I could go on for a while, but I guess the point is this: we all keep blogs. We all type about things. But we’re different and offer a different set of take-aways from our writing and thought processes.

That is what is so important about newsfeeds and RSS. Using the right software, they bring together all these diverse thought processes. It is almost like have a virtual conference room filled with some extremely interesting and creative people.

What is often begun as a personal approach towards communication can become, when aggregated, a very rich and very deep conversation, particularly when you add your own perspective on your own blog.

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