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hat, exactly, constitutes a valid, original work? What are the implications for how we assess and reward creativity? Can a college or university tap the same sources of innovative talent and energy as Google or Flickr? What are the risks of permitting or opening up to this activity?

Remix is the reworking or adaptation of an existing work. The remix may be subtle, or it may completely redefine how the work comes across. It may add elements from other works, but generally efforts are focused on creating an alternate version of the original. A mashup, on the other hand, involves the combination of two or more works that may be very different from one another. In this article, I will apply these terms both to content remixes and mashups, which originated as a music form but now could describe the mixing of any number of digital media sources, and to data mashups, which combine the data and functionalities of two or more Web applications.

Harper's article "The Ecstasy of Influence," the novelist Jonathan Lethem imaginatively reviews the history of appropriation and recasts it as essential to the act of creation.3

Lethem's article is a must-read for anyone with an interest in the history of ideas, creativity, and intellectual property. It brilliantly synthesizes multiple disciplines and perspectives into a wonderfully readable and compelling argument. It is also, as the subtitle of his article acknowledges, "a plagiarism." Virtually every passage is a direct lift from another source, as the author explains in his "Key," which gives the source for every line he "stole, warped, and cobbled together." (He also revised "nearly every sentence" at least slightly.) Lethem's ideas noted in the paragraph above were appropriated from Siva Vaidhyanathan, Craig Baldwin, Richard Posner, and George L. Dillon.

Reading Walter Benjamin's highly influential 1936 essay "The Work of Art in the Age of Mechanical Reproduction,"4 it's clear that the profound effects of reproductive technology were obvious at that time. As Gould argued in 1964 (influenced by theorists such as Marshall McLuhan5), changes in how art is produced, distributed, and consumed in the electronic age have deep effects on the character of the art itself.

Yet the technology developments of the past century have clearly corresponded with a new attitude toward the "aura" associated with a work of invention and with more aggressive attitudes toward appropriation. It's no mere coincidence that the rise of modernist genres using collage techniques and more fragmented structures accompanied the emergence of photography and audio recording.

Educational technologists may wonder if "remix" or "content mashup" are just hipper-sounding versions of the learning objects vision that has absorbed so much energy from so many talented people—with mostly disappointing results.

The question is, why should a culture of remix take hold when the learning object economy never did?

when most learning object repositories were floundering, resource-sharing services such as del.icio.us and Flickr were enjoying phenomenal growth, with their user communities eagerly contributing heaps of useful metadata via simple folksonomy-oriented tagging systems.

the standards/practices relationship implicit in the learning objects model has been reversed. With only the noblest of intentions, proponents of learning objects (and I was one of them) went at the problem of promoting reuse by establishing an arduous and complex set of interoperability standards and then working to persuade others to adopt those standards. Educators were asked to take on complex and ill-defined tasks in exchange for an uncertain payoff. Not surprisingly, almost all of them passed.

Discoverable Resources

Educators might justifiably argue that their materials are more authoritative, reliable, and instructionally sound than those found on the wider Web, but those materials are effectively rendered invisible and inaccessible if they are locked inside course management systems.

It's a dirty but open secret that many courses in private environments use copyrighted third-party materials in a way that pushes the limits of fair use—third-party IP is a big reason why many courses cannot easily be made open.

The potential payoff for using open and discoverable resources, open and transparent licensing, and open and remixable formats is huge: more reuse means that more dynamic content is being produced more economically, even if the reuse happens only within an organization. And when remixing happens in a social context on the open web, people learn from each other's process.

Part of making a resource reusable involves making the right choices for file formats.

To facilitate the remixing of materials, educators may want to consider making the source files that were used to create a piece of multimedia available along with the finished result.

In addition to choosing the right file format and perhaps offering the original sources, another issue to consider when publishing content online is the critical question: "Is there an RSS feed available?" If so, conversion tools such as Feed2JS (http://www.feed2JS.org) allow for the republication of RSS-ified content in any HTML Web environment, including a course management system, simply by copying and pasting a few lines of JavaScript code. When an original source syndicated with RSS is updated, that update is automatically rendered anywhere it has been republished.

Jack Schofield

Guardian Unlimited

"An API provides an interface and a set of rules that make it much easier to extract data from a website. It's a bit like a record company releasing the vocals, guitars and drums as separate tracks, so you would not have to use digital processing to extract the parts you wanted."1

What's new about mashed-up application development? In a sense, the factors that have promoted this approach are the same ones that have changed so much else about Web culture in recent years. Essential hardware and software has gotten more powerful and for the most part cheaper, while access to high-speed connectivity and the enhanced quality of online applications like Google Docs have improved to the point that Tim O'Reilly and others can talk of "the emergent Internet operating system."15 The growth of user-centered technologies such as blogs have fostered a DIY ("do it yourself") culture that increasingly sees online interaction as something that can be personalized and adapted on the individual level. As described earlier, light syndication and service models such as RSS have made it easier and faster than ever to create simple integrations of diverse media types. David Berlind, executive editor of ZDNet, explains: "With mashups, fewer technical skills are needed to become a developer than ever. Not only that, the simplest ones can be done in 10 or 15 minutes. Before, you had to be a pretty decent code jockey with languages like C++ or Visual Basic to turn your creativity into innovation. With mashups, much the same way blogging systems put Web publishing into the hands of millions of ordinary non-technical people, the barrier to developing applications and turning creativity into innovation is so low that there's a vacuum into which an entire new class of developers will be sucked."16

The ability to "clone" other users' mashups is especially exciting: a newcomer does not need to spend time learning how to structure the data flows but can simply copy an existing framework that looks useful and then make minor modifications to customize the result.19

As with content remixing, open access to materials is not just a matter of some charitable impulse to share knowledge with the world; it is a core requirement for participating in some of the most exciting and innovative activity on the Web.

"My Maps" functionality

For those still wondering what the value proposition is for offering an open API, Google's development process offers a compelling example of the potential rewards.

Elsewhere, it is difficult to point to significant activity suggesting that the mashup ethos is taking hold in academia the way it is on the wider Web.

Yet for the most part, the notion of the data mashup and the required openness is not even a consideration in discussions of technology strategy in higher educational institutions. "Data integration" across campus systems is something that is handled by highly skilled professionals at highly skilled prices.

Revealing how a more adventurous and inclusive online development strategy might look on campus, Raymond Yee recently posted a comprehensive proposal for his university (UC Berkeley), in which he outlined a "technology platform" not unlike the one employed by Amazon.com (http://aws.amazon.com/)—resources and access that would be invaluable for the institution's programmers as well as for outside interests to build complementary services.

All too often, college and university administrators react to this type of innovation with suspicion and outright hostility rather than cooperation.

those of us in higher education who observe the successful practices in the wider Web world have an obligation to consider and discuss how we might apply these lessons in our own contexts. We might ask if the content we presently lock down could be made public with a license specifying reasonable terms for reuse. When choosing a content management system, we might consider how well it supports RSS syndication. In an excellent article in the March/April 2007 issue of EDUCAUSE Review, Joanne Berg, Lori Berquam, and Kathy Christoph listed a number of campus activities that could benefit from engaging social networking technologies.26

What might happen if we allow our campus innovators to integrate their practices in these areas in the same way that social networking application developers are already integrating theirs? What is the mission-critical data we cannot expose, and what can we expose with minimal risk? And if the notion of making data public seems too radical a step, can APIs be exposed to selected audiences, such as on-campus developers or consortia partners?

these spaces conveniently lend themselves to almost seamless integration of content from other online resources, often quite transparently

They are easy to create, and they allow people to jointly collaborate on complex projects using low-cost, simple tools.

The essential attribute of the technologies in this set is that they make it easy for people to share interests and ideas, work on joint projects, and easily monitor collective progress. All of these are needs common to student work, research, collaborative teaching, writing and authoring, development of grant proposals, and more. Using them, groups can collaborate on projects online, anywhere there is Internet access; interim results of research can be shared among a team, supporting illustrations and tables created, and all changes and iterations tracked, documented, and archived. In class situations, faculty can evaluate student work as it progresses, leaving detailed comments right in the documents if desired in almost real time. Students can work with other students in distant locations, or with faculty as they engage in fieldwork.

Support needs are greatly reduced as nothing needs to be installed or upgraded.

A virtual collaborative workspace for a course or study group can be assembled quickly using tools, or widgets, that can pull information from a variety of sources

The same tools can be used to set up a personal portfolio where a student can display his or her work in any form—photos, blog posts, shared videos, and more can be pulled to the page by widgets that grab the student’s contributions on other sites.

Using similar approaches, online conferences and symposia can offer session archives that persist over time; simply request that participants use a particular tag when they post related content, and the widgets will continue to update the conference page as new content appears.

Instead of the campus LMS, the courses use Facebook as their primary interaction and information tool.

A course in Digital Entrepreneurship at Rochester Institute of Technology created a Ning network on the topic, bringing undergrads enrolled in the course into contact with over a hundred graduate students, venture capitalists, faculty, practitioners, and business owners around the world.

An educational technology course at George Mason University uses Pageflakes as the hub of a learning community. Content is dynamically assembled from a variety of timely sources, integrating it with student work from Flickr and other sources, all via RSS.

The Flat Classroom Project (flatclassroomproject.ning.com) uses a Ning workspace to create a sense of space that is shared by students located in the U.S. and in Qatar.

to allow faculty to collaborate on course materials and leverage one another’s work.

First, this is not actually a philanthropic endeavor in the classic sense of "donating" something to those with less. Instead, the open education movement promotes conditions for self-empowerment, and one of the central premises of the movement focuses on the freedom to be educated in the manner of one's choosing. Second, the permissions granted in defining an open educational resource explicitly enable the localization and adaptation of materials to be more locally appropriate. Every person should have the right to be educated in his/her native language, and in a manner that is most suitable to the personal and cultural contexts in which they reside. Third, we have good reason to believe that the contributions to the global open educational enterprise from those in resource-limited settings are at least as valuable as contributions from anyone else. While we have much to do to enable truly equitably participation among all of the citizens of the globe, there is widespread agreement that the ultimate goal is some type of open educational network, not a unidirectional pipeline.

educational resources commissioned and paid for directly by the public sector should be released as open educational resources. This ensures that the taxpayers who financed these resources can benefit from them fully. Of course, this principle cannot extend to resources paid for indirectly with public funds, such as materials written by professors at public universities. The Declaration does strongly encourage these professors and institutions to make all of their resources open. However, in the end, this is their choice.

resources should be licensed to facilitate use, revision, translation, improvement and sharing by anyone

many of the participants advocated for inclusion of language that indicates that the license should ideally impose no legal constraints other than a requirement by the creator for appropriate attribution or the sharing of derivative works. This degree of openness represents the 'gold standard' in open educational resource licensing. However, it is also recognized that some authors and publishers may wish to disallow commercial uses (non-commercial). Resources licensed with this additional restriction are still open educational resources, but do come with risks and costs.

we suggest that you use one of the Creative Commons (CC) licenses, for several reasons: The licenses have human-readable deeds, which is (generally) easier for people to understand.The licenses have a computer-readable component which enables search and filtering by license status, an increasingly important consideration in an era of exploding online content.The licenses have been ported to many countries around the world, with more being added every year, which guarantees their worldwide application and enforcement.The licenses are already the most frequently used licenses for open educational resources, which will make it easier for users to learn about their rights, as well as use the materials in interesting ways.

If an author's primary purpose in creating open educational resources is for it to be used as widely, freely, and creatively as possible, then using CC-BY is the better choice

n most cases, the NC term is likely to have undesired repercussions for your work. If you are thinking of restricting commercial activity, ask yourself the following questions: What is the goal of doing so? Is it that the creators wish to make money from their contributions? Is this likely? Is it assumed that all for-profit activity is somehow inimical to education? What are the costs of restricting commercial use of open educational resources and do you wish to incur them? For example, is it your goal to forbid a for-profit publisher in a developing country from printing copies of your materials and distributing them there?

Open educational resources licensed using CC-BY have no restrictions on use beyond attribution for the original creator. Open educational resources licensed using CC-BY-SA also require attribution, but have the additional restriction of requiring that the derived material be licensed in the same manner as the original(s), thus ensuring their continued availability as open educational resources.

CC-BY allows for a variety of motivations, including the possibility of commercial success, to drive users to adapt and re-purpose their materials.

f an author's primary purpose in creating open educational resources is for that material to never leave the educational commons, such as it is, then you may want to apply the SA term. In this case, the possibilities for viable commercial derivatives, though not disallowed, are diminished, and so users motivated to adapt materials for that purpose are unlikely to participate. In addition, open educational resources licensed with an SA term are only interoperable with other SA materials, which seriously limits their capacity for re-mixing.

There are two key points we would ask you to consider prior to applying the ND term. First, are you willing to prevent all of the wonderful ways in which your work might be improved upon just for the sake of preventing a few derivatives that you would consider inferior? It is worth remembering that it is the granting of freedoms to share, reprint, translate, combine, or adapt that makes open educational resources educationally different from those that can merely be read online for free.

you must remember that digital resources are not consumable goods, in the sense that they can be shared infinitely without any loss of value for the original. As such, if inferior derivatives are created, those creations have done nothing to diminish the quality of your original work, which will remain available for others to use or improve upon as they wish.

there is absolutely no restriction on use of public domain materials. In addition to being able to freely use such materials, you are free to adapt public domain materials and then license the derivative works in any way you choose, including standard all-rights-reserved copyright. You have to apply an open license if you want your contribution to add to the pool of open educational resources.

Together with the Center for International Understanding, North Carolina in the World is developing partnerships based on digital collaboration between schools in North Carolina and nations ranging from China to Mexico. Teachers and students in partnering schools are learning to use Web 2.0 tools like web-conferencing and wikis to connect kids across continents. Not only do these efforts help to build a general knowledge of other countries in our children, they are providing concrete opportunities to use technology in new ways.

There is an inexorable trend among college students to universal ownership, mobility, and access to technology.

Students were asked about the applications they used on their electronic devices. They reported that they use technology first for educational purposes, followed by communication.

presentation software was driven primarily by the requirements of the students' major and the curriculum.

Communications and entertainment are very much related to gender and age.

From student interviews, a picture emerged of student technology use driven by the demands of the major and the classes that students take. Seniors reported spending more time overall on a computer than do freshmen, and they reported greater use of a computer at a place of employment. Seniors spent more hours on the computer each week in support of their educational activities and also more time on more advanced applications—spreadsheets, presentations, and graphics.

Confirming what parents suspect, students with the lowest grade point averages (GPAs) spend significantly more time playing computer games; students with the highest GPAs spend more hours weekly using the computer in support of classroom activities. At the University of Minnesota, Crookston, students spent the most hours on the computer in support of classroom activities. This likely reflects the deliberate design of the curriculum to use a laptop extensively. In summary, the curriculum's technology requirements are major motivators for students to learn to use specialized software.

The interviews indicated that students are skilled with basic office suite applications but tend to know just enough technology functionality to accomplish their work; they have less in-depth application knowledge or problem solving skills.

According to McEuen, student technology skills can be likened to writing skills: Students come to college knowing how to write, but they are not developed writers. The analogy holds true for information technology, and McEuen suggested that colleges and universities approach information technology in the same way they approach writing.6

he major requires the development of higher-level skill sets with particular applications.

The comparative literature on student IT skill self-assessment suggests that students overrate their skills; freshmen overrate their skills more than seniors, and men overrate their skills more than women.7 Our data supports these conclusions. Judy Doherty, director of the Student Technologies Resource Group at Colgate University, remarked on student skill assessment, "Students state in their job applications that they are good if not very good, but when tested their skills are average to poor, and they need a lot of training."8

Mary Jane Smetanka of the Minneapolis–St. Paul Star Tribune reported that some students are so conditioned by punch-a-button problem solving on computers that they approach problems with a scattershot impulsiveness instead of methodically working them through. In turn, this leads to problem-solving difficulties.

We expected to find that the Net Generation student prefers classes that use technology. What we found instead is a bell curve with a preference for a moderate use of technology in the classroom (see Figure 1).

It is not surprising that if technology is used well by the instructor, students will come to appreciate its benefits.

A student's major was also an important predictor of preferences for technology in the classroom (see Table 3), with engineering students having the highest preference for technology in the classroom (67.8 percent), followed by business students (64.3 percent).

Humanities 7.7% 47.9% 40.2

he highest scores were given to improved communications, followed by factors related to the management of classroom activities. Lower impact activities had to do with comprehension of classroom materials (complex concepts).

I spend more time engaged in course activities in those courses that require me to use technology.

The instructors' use of technology in my classes has increased my interest in the subject matter. 3.25 Classes that use information technology are more likely to focus on real-world tasks and examples.

Interestingly, students do not feel that use of information technology in classes greatly increases the amount of time engaged with course activities (3.22 mean).12 This is in direct contrast to faculty perceptions reported in an earlier study, where 65 percent of faculty reported they perceived that students spend more time engaged with course materials

Only 12.7 percent said the most valuable benefit was improved learning; 3.7 percent perceived no benefit whatsoever. Note that students could only select one response, so more than 12.7 percent may have felt learning was improved, but it was not ranked highest. These findings compare favorably with a study done by Douglas Havelka at the University of Miami in Oxford, Ohio, who identified the top six benefits of the current implementation of IT as improving work efficiency, affecting the way people behave, improving communications, making life more convenient, saving time, and improving learning ability.14

Our data suggest that we are at best at the cusp of technologies being employed to improve learning.

The interactive features least used by faculty were the features that students indicated contributed the most to their learning.

he students in this study called our attention to performance by noting an uneven diffusion of innovation using this technology. This may be due, in part, to faculty or student skill. It may also be due to a lack of institutional recognition of innovation, especially as the successful use of course management systems affects or does not affect faculty tenure, promotion, and merit decisions

we found that many of the students most skilled in the use of technology had mixed feelings about technology in the classroom.

What we found was that many necessary skills had to be learned at the college or university and that the motivation for doing so was very much tied to the requirements of the curriculum. Similarly, the students in our survey had not gained the necessary skills to use technology in support of academic work outside the classroom. We found a significant need for further training in the use of information technology in support of learning and problem-solving skills.

Course management systems were used most by both faculty and students for communication of information and administrative activities and much less in support of learning.

In 1997, Michael Hooker proclaimed, "higher education is on the brink of a revolution." Hooker went on to note that two of the greatest challenges our institutions face are those of "harnessing the power of digital technology and responding to the information revolution."18 Hooker and many others, however, did not anticipate the likelihood that higher education's learning revolution would be a journey of a thousand miles rather than a discrete event. Indeed, a study of learning's last great revolution—the invention of moveable type—reveals, too, a revolution conducted over centuries leading to the emergence of a publishing industry, intellectual property rights law, the augmentation of customized lectures with textbooks, and so forth.

Both the ECAR study on faculty use of course management systems and this study of student experiences with information technology concluded that, while information technology is indeed making important inroads into classroom and learning activities, to date the effects are largely in the convenience of postsecondary teaching and learning and do not yet constitute a "learning revolution." This should not surprise us. The invention of moveable type enhanced, nearly immediately, access to published information and reduced the time needed to produce new publications. This invention did not itself change literacy levels, teaching styles, learning styles, or other key markers of a learning revolution. These changes, while catalyzed by the new technology, depended on slower social changes to institutions. I believe that is what we are witnessing in higher education today.

The institutions chosen represent a nonrepresentative mix of the different types of higher education institution in the United States, in terms of Carnegie class as well as location, source of funding, and levels of technology emphasis. Note, however, that we consider our findings to be instructive rather than conclusive of student experiences at different types of Carnegie institutions.

Qualitative data were collected by means of focus groups and individual interviews. We interviewed undergraduate students, administrators, and individuals identified as experts in the field of student technology use in the classroom. Student focus groups and interviews of administrators were conducted at six of the thirteen schools participating in the study.

a time when scholarship, and how we make it available, will be affected by information abundance just as powerfully as food preparation has been.

Scholarly communication before the Internet required the intermediation of publishers. The costliness of publishing became an invisible constraint that drove nearly all of our decisions. It became the scholar's job to be a selector and interpreter of difficult-to-find primary and secondary sources; it was the scholarly publisher's job to identify the best scholars with the best perspective and the best access to scarce resources.

Online scholarly publishing in Web 1.0 mimicked those fundamental conceptions. The presumption was that information scarcity still ruled. Most content was closed to nonsubscribers; exceedingly high subscription costs for specialty journals were retained; libraries continued to be the primary market; and the "authoritative" version was untouched by comments from the uninitiated. Authority was measured in the same way it was in the scarcity world of paper: by number of citations to or quotations from a book or article, the quality of journals in which an article was published, the institutional affiliation of the author, etc.

Google

Google

The challenge for all those sites pertains to abundance:

Such systems have not been framed to confer authority, but as they devise means to deal with predators, scum, and weirdos wanting to be a "friend," they are likely to expand into "trust," or "value," or "vouching for my friend" metrics — something close to authority — in the coming years.

ecently some more "authoritative" editors have been given authority to override whining ax grinders.

In many respects Boing Boing is an old-school edited resource. It doesn't incorporate feedback or comments, but rather is a publication constructed by five editor-writers

As the online environment matures, most social spaces in many disciplines will have their own "boingboings."

They differ from current models mostly by their feasible computability in a digital environment where all elements can be weighted and measured, and where digital interconnections provide computable context.

In the very near future, if we're talking about a universe of hundreds of billions of documents, there will routinely be thousands, if not tens of thousands, if not hundreds of thousands, of documents that are very similar to any new document published on the Web. If you are writing a scholarly article about the trope of smallpox in Shakespearean drama, how do you ensure you'll be read? By competing in computability. Encourage your friends and colleagues to link to your online document. Encourage online back-and-forth with interested readers. Encourage free access to much or all of your scholarly work. Record and digitally archive all your scholarly activities. Recognize others' works via links, quotes, and other online tips of the hat. Take advantage of institutional repositories, as well as open-access publishers. The list could go on.

the new authority metrics, instead of relying on scholarly publishers to establish the importance of material for them.

They need to play a role in deciding not just what material will be made available online, but also how the public will be allowed to interact with the material. That requires a whole new mind-set.

cholarly publishers

Many of the values of scholarship are not well served yet by the Web: contemplation, abstract synthesis, construction of argument.

Traditional models of authority will probably hold sway in the scholarly arena for 10 to 15 years, while we work out the ways in which scholarly engagement and significance can be measured in new kinds of participatory spaces.

if scholarly output is locked away behind fire walls, or on hard drives, or in print only, it risks becoming invisible to the automated Web crawlers, indexers, and authority-interpreters that are being developed. Scholarly invisibility is rarely the path to scholarly authority.

Web 1.0,

garbed new business and publishing models in 20th-century clothes.

fundamental presumption is one of endless information abundance.

Flickr, YouTube

micromarkets

multiple demographics

Abundance leads to immediate context and fact checking, which changes the "authority market" substantially. The ability to participate in most online experiencesvia comments, votes, or ratingsis now presumed, and when it's not available, it's missed.

Google interprets a link from Page A to Page B as a vote, by Page A, for Page B. But, Google looks at more than the sheer volume of votes, or links a page receives; for example, it also analyzes the page that casts the vote. Votes cast by pages that are themselves 'important' weigh more heavily and help to make other pages 'important,'"

It has its limits, but it also both confers and confirms authority because people tend to point to authoritative sources to bolster their own work.

That kind of democratization of authority is nearly unique to wikis that are group edited, since not observation, but active participation in improvement, is the authority metric.

user-generated authority, many of which are based on algorithmic analysis of participatory engagement. The emphasis in such models is often not on finding scarce value, but on weeding abundance

Authority 3.0 will probably include (the list is long, which itself is a sign of how sophisticated our new authority makers will have to be): Prestige of the publisher (if any). Prestige of peer prereviewers (if any). Prestige of commenters and other participants. Percentage of a document quoted in other documents. Raw links to the document. Valued links, in which the values of the linker and all his or her other links are also considered. Obvious attention: discussions in blogspace, comments in posts, reclarification, and continued discussion. Nature of the language in comments: positive, negative, interconnective, expanded, clarified, reinterpreted. Quality of the context: What else is on the site that holds the document, and what's its authority status? Percentage of phrases that are valued by a disciplinary community. Quality of author's institutional affiliation(s). Significance of author's other work. Amount of author's participation in other valued projects, as commenter, editor, etc. Reference network: the significance rating of all the texts the author has touched, viewed, read. Length of time a document has existed. Inclusion of a document in lists of "best of," in syllabi, indexes, and other human-selected distillations. Types of tags assigned to it, the terms used, the authority of the taggers, the authority of the tagging system.

Most technophile thinkers out there believe that Web 3.0 will be driven by artificial intelligences — automated computer-assisted systems that can make reasonable decisions on their own, to preselect, precluster, and prepare material based on established metrics, while also attending very closely to the user's individual actions, desires, and historic interests, and adapting to them.

It's software that supports group interaction

how radical that pattern is. The Internet supports lots of communications patterns, principally point-to-point and two-way, one-to-many outbound, and many-to-many two-way.

Prior to the Internet, the last technology that had any real effect on the way people sat down and talked together was the table.

We've had social software for 40 years at most, dated from the Plato BBS system, and we've only had 10 years or so of widespread availability, so we're just finding out what works. We're still learning how to make these kinds of things.

If it's a cluster of half a dozen LiveJournal users, on the other hand, talking about their lives with one another, that's social. So, again, weblogs are not necessarily social, although they can support social patterns.

So email doesn't necessarily support social patterns, group patterns, although it can. Ditto a weblog. If I'm Glenn Reynolds, and I'm publishing something with Comments Off and reaching a million users a month, that's really broadcast.

So there's this very complicated moment of a group coming together, where enough individuals, for whatever reason, sort of agree that something worthwhile is happening, and the decision they make at that moment is: This is good and must be protected. And at that moment, even if it's subconscious, you start getting group effects. And the effects that we've seen come up over and over and over again in online communities.

You are at a party, and you get bored. You say "This isn't doing it for me anymore. I'd rather be someplace else.

The party fails to meet some threshold of interest. And then a really remarkable thing happens: You don't leave.

That kind of social stickiness is what Bion is talking about.

Twenty minutes later, one person stands up and gets their coat, and what happens? Suddenly everyone is getting their coats on, all at the same time. Which means that everyone had decided that the party was not for them, and no one had done anything about it, until finally this triggering event let the air out of the group, and everyone kind of felt okay about leaving.

This effect is so steady it's sometimes called the paradox of groups.

what's less obvious is that there are no members without a group.

there are some very specific patterns that they're entering into to defeat the ostensible purpose of the group meeting together. And he detailed three patterns.

The first is sex talk,

second basic pattern

The identification and vilification of external enemies.

So even if someone isn't really your enemy, identifying them as an enemy can cause a pleasant sense of group cohesion. And groups often gravitate towards members who are the most paranoid and make them leaders, because those are the people who are best at identifying external enemies.

third pattern Bion identified: Religious veneration

The religious pattern is, essentially, we have nominated something that's beyond critique.

So these are human patterns that have shown up on the Internet, not because of the software, but because it's being used by humans. Bion has identified this possibility of groups sandbagging their sophisticated goals with these basic urges. And what he finally came to, in analyzing this tension, is that group structure is necessary. Robert's Rules of Order are necessary. Constitutions are necessary. Norms, rituals, laws, the whole list of ways that we say, out of the universe of possible behaviors, we're going to draw a relatively small circle around the acceptable ones.

He said the group structure is necessary to defend the group from itself. Group structure exists to keep a group on target, on track, on message, on charter, whatever. To keep a group focused on its own sophisticated goals and to keep a group from sliding into these basic patterns. Group structure defends the group from the action of its own members.

technical and social issues are deeply intertwined. There's no way to completely separate them.

Some of the users wanted the system to continue to exist and to provide a forum for discussion. And other of the users, the high school boys, either didn't care or were actively inimical. And the system provided no way for the former group to defend itself from the latter.

What matters is, a group designed this and then was unable, in the context they'd set up, partly a technical and partly a social context, to save it from this attack from within. And attack from within is what matters.

This pattern has happened over and over and over again. Someone built the system, they assumed certain user behaviors. The users came on and exhibited different behaviors. And the people running the system discovered to their horror that the technological and social issues could not in fact be decoupled.

nd the worst crisis is the first crisis, because it's not just "We need to have some rules." It's also "We need to have some rules for making some rules." And this is what we see over and over again in large and long-lived social software systems. Constitutions are a necessary component of large, long-lived, heterogenous groups.

As a group commits to its existence as a group, and begins to think that the group is good or important, the chance that they will begin to call for additional structure, in order to defend themselves from themselves, gets very, very high.

The downside of going for size and scale above all else is that the dense, interconnected pattern that drives group conversation and collaboration isn't supportable at any large scale. Less is different -- small groups of people can engage in kinds of interaction that large groups can't. And so we blew past that interesting scale of small groups. Larger than a dozen, smaller than a few hundred, where people can actually have these conversational forms that can't be supported when you're talking about tens of thousands or millions of users, at least in a single group.

So the first answer to Why Now? is simply "Because it's time." I can't tell you why it took as long for weblogs to happen as it did, except to say it had absolutely nothing to do with technology. We had every bit of technology we needed to do weblogs the day Mosaic launched the first forms-capable browser. Every single piece of it was right there. Instead, we got Geocities. Why did we get Geocities and not weblogs? We didn't know what we were doing.

It took a long time to figure out that people talking to one another, instead of simply uploading badly-scanned photos of their cats, would be a useful pattern. We got the weblog pattern in around '96 with Drudge. We got weblog platforms starting in '98. The thing really was taking off in 2000. By last year, everyone realized: Omigod, this thing is going mainstream, and it's going to change everything.

Why was there an eight-year gap between a forms-capable browser and the Pepys diaries? I don't know. It just takes a while for people to get used to these ideas. So, first of all, this is a revolution in part because it is a revolution. We've internalized the ideas and people are now working with them. Second, the things that people are now building are web-native.

A weblog is web-native. It's the web all the way in. A wiki is a web-native way of hosting collaboration. It's lightweight, it's loosely coupled, it's easy to extend, it's easy to break down. And it's not just the surface, like oh, you can just do things in a form. It assumes http is transport. It assumes markup in the coding. RSS is a web-native way of doing syndication. So we're taking all of these tools and we're extending them in a way that lets us build new things really quickly.

Third, in David Weinberger's felicitous phrase, we can now start to have a Small Pieces Loosely Joined pattern.

You can say, in the conference call or the chat: "Go over to the wiki and look at this."

It's just three little pieces of software laid next to each other and held together with a little bit of social glue. This is an incredibly powerful pattern. It's different from: Let's take the Lotus juggernaut and add a web front-end.

And finally, and this is the thing that I think is the real freakout, is ubiquity.

In many situations, all people have access to the network. And "all" is a different kind of amount than "most." "All" lets you start taking things for granted.

But for some groups of people -- students, people in high-tech offices, knowledge workers -- everyone they work with is online. Everyone they're friends with is online. Everyone in their family is online.

And this pattern of ubiquity lets you start taking this for granted.

There's a second kind of ubiquity, which is the kind we're enjoying here thanks to Wifi. If you assume whenever a group of people are gathered together, that they can be both face to face and online at the same time, you can start to do different kinds of things. I now don't run a meeting without either having a chat room or a wiki up and running. Three weeks ago I ran a meeting for the Library of Congress. We had a wiki, set up by Socialtext, to capture a large and very dense amount of technical information on long-term digital preservation.

The people who organized the meeting had never used a wiki before, and now the Library of Congress is talking as if they always had a wiki for their meetings, and are assuming it's going to be at the next meeting as well -- the wiki went from novel to normal in a couple of days.

It really quickly becomes an assumption that a group can do things like "Oh, I took my PowerPoint slides, I showed them, and then I dumped them into the wiki. So now you can get at them." It becomes a sort of shared repository for group memory. This is new. These kinds of ubiquity, both everyone is online, and everyone who's in a room can be online together at the same time, can lead to new patterns.

"What is required to make a large, long-lived online group successful?" and I think I can now answer with some confidence: "It depends."

The normal experience of social software is failure. If you go into Yahoo groups and you map out the subscriptions, it is, unsurprisingly, a power law. There's a small number of highly populated groups, a moderate number of moderately populated groups, and this long, flat tail of failure. And the failure is inevitably more than 50% of the total mailing lists in any category. So it's not like a cake recipe. There's nothing you can do to make it come out right every time.

Of the things you have to accept, the first is that you cannot completely separate technical and social issues.

So the group is real. It will exhibit emergent effects. It can't be ignored, and it can't be programmed, which means you have an ongoing issue. And the best pattern, or at least the pattern that's worked the most often, is to put into the hands of the group itself the responsibility for defining what value is, and defending that value, rather than trying to ascribe those things in the software upfront.

Members are different than users. A pattern will arise in which there is some group of users that cares more than average about the integrity and success of the group as a whole. And that becomes your core group, Art Kleiner's phrase for "the group within the group that matters most."

But in all successful online communities that I've looked at, a core group arises that cares about and gardens effectively. Gardens the environment, to keep it growing, to keep it healthy.

The core group has rights that trump individual rights in some situations

And absolute citizenship, with the idea that if you can log in, you are a citizen, is a harmful pattern, because it is the tyranny of the majority. So the core group needs ways to defend itself -- both in getting started and because of the effects I talked about earlier -- the core group needs to defend itself so that it can stay on its sophisticated goals and away from its basic instincts.

All groups of any integrity have a constitution. The constitution is always partly formal and partly informal. A

If you were going to build a piece of social software to support large and long-lived groups, what would you design for? The first thing you would design for is handles the user can invest in.

Second, you have to design a way for there to be members in good standing. Have to design some way in which good works get recognized. The minimal way is, posts appear with identity.

Three, you need barriers to participation.

It has to be hard to do at least some things on the system for some users, or the core group will not have the tools that they need to defend themselves.

The user of social software is the group, not the individual.

We provide ample support and encouragement to "trailing edge" students whose online capabilities barely extend beyond e-mail, but at the same time, we leave the door open for those at the leading edge to suggest innovations that we ourselves would be incapable of imagining, much less of implementing.

By recasting students as researchers and teachers, we invite them to participate in what is arguably the most exciting and fulfilling aspect of university life: the production of new knowledge (Exhibit 2).

We would be hard pressed to name a profession—including academe itself—that does not demand some ability to interact effectively with other human beings. Yet higher education remains, especially in the humanities, a highly individualistic enterprise. In a typical English course, students write their essays for an audience of one—namely, the instructor who does the grading—while "group discussions" frequently consist of individuals talking directly to the teacher with little regard for their peers. In a discipline built around the ideal of the lone genius, our epigraph to this section remains as wishfully subversive today as it was a century and a half ago.

Teaching to the future involves harnessing the collaborative impulses already at large in digital culture and directing them toward educational ends, so that "group work" shifts in our students' perception from an eyeroll-inducing educational gimmick to a cutting-edge skill worthy of cultivation and scrutiny.

Later, they take part in a formative peer assessment exercise during which we project draft versions of their final projects onscreen while classmates ask questions and provide suggestions for improvement. The success of this "Live Crit" session (a concept borrowed from architecture and the fine arts) reflects the atmosphere of collaboration and trust that we have consciously cultivated among the students all semester

Exhibit 4).

Higher education is an aquifer, not a spigot.

"The Poem of the Contents of Everybody's Pockets"; on the second day, we send them off around campus to chalk poems on the ground in public places; on the third day, we engage them in a critical analysis of both events, prompting them to come up with inventive ways in which such multifaceted live performances might be recorded (photographed? taped? videoed? narrativized?) for posterity.