Such services have mostly been cobbled together using Google Maps and limited access to data feeds released by civic bodies but there is a growing trend for city governments to mandate standardization of their metrics into structured data streams (XML, RDF) and to aggregate & publish these feeds to the public. Gavin Newsom, the mayor of San Francisco, announced today the DataSF project which aims to create a “clearinghouse of structured, raw & machine-readable gov data”. This commitment by such a major & influential city is a huge step in legitimizing the value of open data and engaging developers & innovators to build better services for optimizing civic functioning. It is this intersection of government openness & data standardization that underlies the Gov 2.0 movement and reinforces the emerging metaphor of City as Platform.

In reviewing the General Plan 2030 [PDF] of my own city, Santa Cruz, Ca., I see the standard (and important!) list of local resources, community planning & preservation concerns, issues regarding land use & economic development, etc… but what’s missing is any reference to the increasingly large and important data shadow cast by our civic, ecological, financial, and social structures. I think this is typical of most cities that consider both event-driven data and cloud-mediated activities as tangentially arising off of primary traditional institutions. Business has sales metrics, the Department of Works has road repair updates, and farmer’s have crop reports. But in order for a city to become a platform, and for civic planning to truly step into the Information Age, the importance of it’s data shadow must be addressed as a fundamentally critical component of it’s overall functionality. Just as water resources, agriculture, and emergency services are important vertical columns in the map of city planning, so too is the dynamic body of information produced and mediated by local activities. Civic planning must consider how this data can be leveraged to better understand and optimize the vibrancy and resilience of the community.

There are many open source tools to enable creation of local mash-ups and visualizations but the fundamental roadblock impeding such progress is the missing mandate for civic bodies to convert their data into open & structured standards like XML, KML, and RDF. Just as companies invest increasingly in business intelligence platforms, executive dashboards, and analytic platforms in order to better understand their operations and model future implementations, so too must city planners underwrite their IT departments with the funds necessary to standardize & open their data so the behaviors & patterns of the city may better reveal themselves to analysis. It is a meager investment that will pay off immeasurably within just a few years. Implementing such a strategy will bring a tremendous amount of transparency into civic operational processes and stimulate a rich ecology of innovation, while engaging the community directly in the enterprise of building more efficient local systems.

Themes: interoperability, open source, simulations, visualizations, breaking down the walls, and being stuck with Second Life. Little emphasis on chat and social networking, per se. Much more emphasis on architectures & component solutions.

Trends from Virtual Worlds Roadmap: simulation & training, health care, augmented tourism, mixed-reality museums, live sporting events in VW’s, virtual meetings.

Overview:
While the hype over virtual worlds has faded, many serious researchers continue to do fascinating work in the territory. Monetization of a good VW strategy is still needed but this goal seems to have receded into the future for many of the speakers, as well as many of the enterprise-scale companies investigating these spaces who seem less interested in making money (either through direct development and monetization or by riding the public hypetrain) and more interested in gaining efficiencies and trimming overhead (teleconferencing, remote collaboration).

Google (O3D), Intel (Cable Beach), Sun Microsystems (Project Wonderland), Samsung (Virtual Worlds Roadmap), and Nokia (supporting REalXtend) were all present, as well as many Stanford researchers, including the folks building Sirikata. Many are working to extend the OpenSim fork of the Second Life platform. None of them seem to be working towards direct productization (though Google wants O3D to be the in-browser standard for 3D content) but each were working to advance the platform and explore future possibilities.

With monetization off the table and money drying up, researchers are moving to embrace open source solutions (OpenSim, ScienceSim, Ogre3D) and pushing for open standards (OpenId, OAuth, XMPP) and flexible API’s. Almost everyone mentioned a desire to move away from the proprietary walled-garden approach towards an integrative one that looks to the success of social network strategies. While celebrating open source development of Second Life forks, almost everyone bemoaned being stuck on the platform, often underscoring the feeling with a groan that “there’s nothing else”.

Authoring was rarely addressed with content instead being re-purposed from upstream solutions, eg using 3DSMax & Maya content to build world content. Collada was uniformly mentioned as the exchange format. Most developers still want to shoehorn other modalities (eg PowerPoint, web browsing, document collab, etc) into the VW space. Some examples inadvertantly showed the clunkiness of current solutions. I asked why a technology like PowerPoint is any better in 3D than in 2D, eliciting a long pause from the presenter. There’s still a lot of ambition on the part of developers but not always a ton of common sense.

However, IBM’s manager of service design and service systems research, Susan Stucky, gave me the most reasonable answer I’ve heard yet about why it’s important to move 2D modalities into 3D. She said that for collaborative telepresence it was very helpful to have access to everything you would normally have access to in a meeting. Speaking with her at the break, she told me how IBM has found that the greatest use of their Second Life investment has come from the ability to bring employees and clients from around the world together into a collaborative space. They’ve held conferences, run meetings, and explored simulations of project management strategies. For her, the ROI was gained by telepresence & simulations.

And for me, I had a breakthrough speaking with Susan. One of the most compelling yet least-obvious values of collaboration in virtual worlds is the sense of embodiment conveyed by the presence of the avatar. Identity, social cohesion, team building, and friendship arise more naturally when those engaged are perceived as physically present. Self-awareness and the projection of self onto others is still quite bound to our physical bodies. Perhaps combining the embodiment of avatars with in-world access to knowledge & productivity tools represents a more effective modality for non-local collaboration. I’m not sure how this compares to video teleconferencing but I feel there’s a lot of depth to be explored in how virtual embodiment reinforces social cohesion & collaboration (attn: PhD candidates).

Other notables: Henry Lowood (Stanford Curator of History of Science, Media, & Genetics) speaking on The Ultimate Archive: building virtual museums of virtual world platforms inside virtual worlds (eg a virtual museum with a room that lets you play the first Doom level as it was originally). He noted both “perfect capture” (all the data can be archived) and “perfect loss” (experiences, emotions, and deleted content cannot be captured) in VW archiving. Sheldon Brown (Center for Research in Computing in the Arts, UCSD) showed his mind-bending work Scalable City and called for procedurally deriving world assets and behaviorally deriving world experiences.

Analysis:
Virtual Worlds have lost funding and are presently in the Valley of Hype. Effective monetization strategies have yet to reveal themselves. However, there is value to the enterprise in leveraging virtual worlds for telepresence and collaboration, simulation & training. The VW community is moving the R&D towards openness: open source components, open standards, interoperability, and engaging with the platforms and principles of social networks to enhance connectivity and move away from the Walled Garden. The most interesting work with virtual worlds continues to be in the deeper realms of behavior, psychology, telepresence, and simulations. Graphically, everyone is apparently stuck in Second Life. A smart, well-funded private investor would build a platform with the competitive graphics capabilities (surface mesh, brep, kinematics, HLSL, etc), a powerful and scalable object model that can push to XML/RDF/RSS, a powerful simulation engine with an expressive visualization/analytics front-end, a REST/JSON API capable of talking to agents, tools, and other VW’s (as well as Twitter, Facebook, LinkedIn, SMS, Playstation Network, XBox Network, etc), integrate ActiveX embedding of 2D tools (Office apps, browsers, etc), enable a content marketplace built around highly expressive and personalizable avatars and fetish objects, and cultivate a 3rd part service ecosystem supporting all of the above.

Is this so hard?

Both IBM & SAP are moving quickly into 3 of the most powerful trends in computing, each of which are driven by the enormous amounts of data being captured across all domains: business intelligence & modeling, stream computing, and sustainable systems analysis.

IBM’s new initiative A Smarter Planet states succinctly, “the planet will be instrumented, interconnected, intelligent.” This is a powerful statement from one of the largest and most technologically advanced companies in the world. They’re not just talking about business. IBM CEO Sam Palmisano speaks to the really large-scale planetary challenges in creating smart infrastructures for energy, water, transport, and data.

A key component is the recently-announced System S project for supporting so-called Stream Computing.

System S is designed to perform real-time analytics using high-throughput data streams… to host applications that turn heterogeneous data streams into actionable intelligence… System S applications are able to take unstructured raw data and process it in real time.

“This is about what’s going to happen,” explains [director of high performance stream computing at IBM] Nagui Halim. “The thesis is that there are many signals that foreshadow what will occur if we have a system that is smart enough to pick them up and understand them. We tend to think it’s impossible to predict what’s going to happen; and in many cases it is. But in other cases there is a lot of antecedent information in the environment that strongly indicates what’s likely to be occurring in the future.”

With enough data you can start to create connections and patterns. With patterns you can derive meaning and ultimately be better enabled to make more accurate predictions. Since humans aren’t very well-adapted to processing large data sets, we build tools to handle the heavy lifting. Whether Wall Street indexes, ERP scenarios, government accounting, energy grid analysis, or dynamic climate models, serious hardware & software is required to process operational data into meaningful determinations and prescriptions.

SAP has introduced the Clear New World initiative built on their Business Objects service architecture. Again, the notion is that businesses, enterprises, and even governments can run more efficiently when there is a free-flow of data and a suite of integrated services to crunch and render the info into meaningful contexts.

It’s time to build greater visibility, transparency, and accountability into the way your organization works. Because being clear allows timely and relevant information to be available when and where it is needed. Clarity demonstrates that your company is willing and able to stay accountable to key stakeholders. Clarity helps call out inefficiencies, reveal your best customers, create credible sustainability, and give your business the flexibility needed to anticipate and respond to a complex, ever-changing, global environment.

[See James Governor's recent post for more on how SAP & IBM are tackling enterprise sustainability.]

Note the statements about accountability to stakeholders & creating credible sustainability. Clear data & clear reporting. Now consider the latest announcement about SAP for Public Sector “to support the management and reporting of economic stimulus funds”. As a plugin to their Business Objects suite, this utility drafts on the trends towards open accountability and government transparency, often termed Gov 2.0, to provide support for determining just how stimulus money is being spent.

Both IBM and SAP have the power to execute effectively on these strategies, though it remains to be seen how enterprise spending will move to implement these services or if the companies will offer flexible licensing to LLC’s working on the really challenging non-profit global issues. Likewise, SAP has suffered usability problems for years and their core object architecture is old and slow. They will need more than just branding and plugins to make a more transparent world.

Finally, it’s worth noting the branding for these projects. “A Smarter Planet” is a global posture indicating agency and identity on a planetary scale. This hints at the real deep trend across the human species towards a global sense of purpose and strategy. “Clear New World” acknowledges both the occlusions under which human endeavor has marched thus far and the great clarity of visibility we’re now gaining across all domains & enterprises, while admitting that indeed everything is changing and we are moving into a New World. The technology is stepping forward to help us more effectively manage the present and navigate into the unknown future. But of course like all foresight, it remains to be seen whether individuals will choose to act appropriately with the knowledge they come to possess…

Today we have tremendous amounts of data available about any system we wish to model. Drive platters are bulging into the terabytes just to store all of the information gathered by sensors, services, and empowered humans. Whether we study business networks, financial models, or natural systems, our awareness of their complexity has grown exponentially. Things are far wider and more interconnected than we could have imagined even 20 years ago.

All systems are sets of nodes with properties & variables that govern their behavior, coupled together by relational rules governing their interaction. The more complex a system, the more unique nodes and the more interconnections between nodes. Given the human constraint of being able to hold only 6 or 7 unique objects in mind at any given time it’s clear that we’re overwhelmed by even the relatively simple tasks of understanding, for example, a mid-size business structure enough to predict its future, especially when you consider the business system itself as a single node embedded in a much larger global socio-economic system. Imagine the difficulties climate modelers face trying to document global circulatory systems…

One emerging strategy for modeling complex systems looks to software and the floating-point wonders enabled by Moore’s Law. Computers are phenomenally capable of managing the inconceivable amounts of operations necessary to begin modeling dynamic systems. Yet, until very recently one needed to book time on a supercomputer cluster to run weather models or robust behavioral analysis. Even today’s bleeding hardware strains under the weight of such complexity. Research institutions have pursued natural systems modeling for some time and the business world has been paying attention. SAP now offers modeling capabilities with its business intelligence ERP solutions, enabling executives to run scenarios and envision possible outcomes of strategic decisions. Oracle recently acquired Hyperion, adding “performance management” to their suite of BI tools. You can bet these technologies will work their way into government & geopolitical protocols, as well as social & personal behavioral engineering as we increasingly track & model our lives.

Effectively, this pattern emulates the deeper shift from individual enterprise to collective collaborations. You can only model a complex system with another sufficiently complex system. However, even the most interesting algorithms are encumbered by the impositions of their logic: they can only be as creative as they were written. A second emerging strategy for modeling complex systems looks to deputize humans as processing nodes, crowdsourcing future possibilities across infinitely creative sets of minds. The Institute for the Future has taken this approach with its Signtific Lab and the Superstruct platform, leveraging the principles of gameplay to engage massive participation in envisioning scenarios.

The Superstruct games have drawn in thousands of players offering their thoughts & dreams of the future. Players become processing nodes for the chosen subject (eg. “when augmented reality is everywhere”, or “when personal satellites are as easy to deploy as websites”) iterating across large sets of potential outcomes. From these inputs, patterns emerge showing trends with greater frequency & momentum among the collective. Perhaps even more interesting – and where the Superstruct method is more flexible than computational modeling – are the outliers that emerge from players. Many of the most compelling signals of the future are those that completely break from current patterns. Indeed, one of the most fundamental prevailing shifts in the global paradigm is that change is accelerating in ways we cannot even imagine.

These two approaches both consider complex systems & scenario modeling from architectures that themselves are complex, object-oriented systems. The programmatic approach brings heavy-weight numeric bit-crunching to dynamic data streams, while the Superstructing approach offers wide-reaching creativity and human sensing. Augmenting one approach with the other will mark the next phase of predictive analysis necessary to safely navigate civilization through the future. Envisioning these scenarios and building compelling narratives around them will inevitably draw them into becoming.

Our lives are more & more complex and our enterprises & collaborations are commonly reaching global scales. The need to effectively model & predict is a fundamental human trait, reinforced in the face of escalating complexity in a hyper-connected, Read-Write world.

Some rough notes from the weekend on the Northern California coast… I’m trying to get at the core of my general orientation towards the world. It’s coming into focus at the nexus of evolutionary biology & technology. Or…

How does evolutionary biology express through culture & technology?

Requirements of human biosurvivial & social identity (compare to Maslow’s Hierarchy of Needs):

water, food shelter, fecundity, mortality, socialization, cognition, communication, migration, lineage, history, myth, aspiration, discovery, expression, emotion, time, transcendence.

Global comm networks are rapidly bringing the world closer and changing human cognition in ways we cannot yet fully see. What are the impacts and consequences of the emerging self-identification of the human species? How will we manage the human agency? Do we have a global strategy yet, or just a Balkanized polyculture of mostly-competing sub-identities? (Obv. the latter.) Compare to the Greek & Roman consciousness that embodied emotional states & psychological constructs in the mythic drama of deities & demigods. The western religious myth of Earth as resource and Earth as purgatory elevated us above the natural world. The planet is now urgently reminding us that we are within the natural world – a subset embedded in a much larger and ultimately self-interested system.

The assertion of the natural world compels us towards alignment with biomimetic solutions & protocols. Or towards oblivion as we are corrected by the planetary system. We cannot destroy the world before it limits our ability to do it damage. The compulsion towards environmental protection is a species-wide awareness rising from our very cells and fueled by our growing awareness of our impact on the planetary ecology. Adapt or perish.

Socio-economic & ecological adaptation is not on a uniform schedule. Diverse states & peoples have their own schedules to work out as they march up the pyramid of civilization. Does this demand caretakers & parent states? Globalization is a normalizing force, but inequities between self-appointed parents and emerging economies will grow, as will the ability of smaller networks to inflict their will on states, NGO’s, & global systems. This democratization of technological empowerment is yet another major current working through our species. We’re getting stronger yet the morality(?) & responsibility expected to wield this power is not uniform across cultures & peoples. Core biosurvival needs remain the primary driver, exposed to shifting climates and diminishing conventional energy sources. There will be (more) blood.

The race is whether the technologies of liberation & salvation will outpace the technologies of destruction & exploitation. Of course, the real technology underneath both is the human brain – a much more subtle & powerful tool, highly malleable but stubbornly resistant to overt change.

So I asked the support person, who knew about Twitter (better than AT&T) but not about whether Twitter iPhone apps use SMS. She put me on hold to ask a support specialist. About 15 minutes later she came back with a reasonable response (”they probably don’t use SMS”) and a suggestion to talk to the app vendor.

All this had me thinking about the huge inefficiency at play with the responder trying to locate the specialist, get their attention and time, probably juggling multiple phone lines, to then give me one person’s measured response. I imagined a not-too-distant future where the call responder typed my query into a local Twitter-clone running on the tech support network inside AT&T/Apple. This query would immediately push out to subscribers – some required by their manager to subscribe to all tech support feeds, and others who just want to see the problems customers are encountering. I then imagined that some of these subscribers would run search filters on the messaging stream in order to be alerted to those queries they were most interested in tracking.

So somewhere in the bowels of tech support there’s a guy who is a Twitter power-user, or an engineer who wrote the SMS api’s, or a community developer that helps 3rd parties like Tweetie write iPhone apps… and they get pinged every time a tag of interest comes across the network. They see “iPhone Twitter SMS” and respond with the info. With enough of these transactions the call responder will have an archive of tech support tweets they can search through to see if someone has already responded. Of course, this archive provides another layer of analytic data that can be mined to get more info about the problem areas most often reported to tech support.

This concept isn’t particularly new. Businesses have been trying to do this with IM for years. The difference is that IM only gets you access to one person at a time and you have to think to contact them specifically. Then you get caught up in a conversation when you really just need an answer. The Twitter broadcast model quickly gets your query out to a pool of possible responders. Even more importantly, by subscribing to the posts of others throughout the business (eg sales, dev managers, support, evangelists, brand managers, etc…) employees extend their sensors out to include many more valuable inputs. Once they get beyond a certain size, most businesses inevitably Balkanize into distinct units that gradually build up walls and grow insular. Enterprise Twitter (for lack of a better term) would help dissolve these boundaries. This is especially critical in an age of convergence where even the most diverse businesses are feeling the need to integrate and build interoperability across their portfolios.

Again, enterprise Twitter isn’t a new concept but it’s one that so far seems to have escaped either the demand side of the equation – businesses (I’m constantly amazed by the deep endemic failures of communication within companies), who desperately need better & more efficient forms of internal communication; and the supply side, which remains unable to provide any sort of internal enterprise-grade broadcast messaging solutions.

[Updated: Check out Mike Gotta's note on Enterprise Version's of Twitter.]

Perhaps the most iconic and revolutionary example of this trend is the pairing of Apple’s iPod with its iTunes service. For the past 20 years, millions upon millions of cd’s, dvd’s, cases, and printed inserts have been consuming resources, fixing materials into unrecoverable or downcycled hard media and filling filling landfills. Apple has fundamentally rewritten this paradigm by dematerializing the content – music & movies – and connected it directly with the player. The materials & energetic overhead has been consolidated into a (hopefully) more durable device, freeing the high-volume transactional content from such a large resource burden. While there are manufacturing and reclamation costs associated with the device, the impact is lessened by decoupling those costs from the content.

There have since been an ever-increasing movement away from product towards services, as easily illustrated with the rise of online services within the Web 2.0 age. Digital cameras are another example that, like the iPod, decoupled the relentless production of content from a toxic & non-renewable material carrier – in this case, film & print paper. Likewise, print production itself has increasingly moved away from expensive, wasteful, and toxic inks & papers and has re-targeted to the ubiquity of screens. More & more “print” content – once the domain of magazines, newspapers, brochures, and advertising shwag – has moved away from hard carriers. Again, the pattern shows content being released from material substrates to move effortlessly across networks and devices.

There are a few interesting effects of this trend. Of course, piracy of content becomes considerably easier and cheaper. Content can be copied and moved across networks effortlessly, and copy protection is just another set of bits to be cracked. As Stewart Brand keenly observed, “information wants to be free” and the rapid digitization of culture has radically reinforced this proposition forcing every pre-web industry to completely re-evaluate their business models. Conversely, the bitifying of content and the democratization of powerful desktop authoring tools has empowered and emboldened the historical allure of remixing and massively reinvigorated our cultural creativity. Ironically, in an age that has enabled so many to create so much, the notion of intellectual property has less merit now than ever. When your content contains bits from 10 other pieces of content, who actually owns it? As has been noted by many authors & analysts, the genie is out of the bottle.

But perhaps more interesting are the behavioral and psychological shifts happening in response to these trends. As stuff dematerializes into intangible bits, the fact that we can no longer touch product subtly undermines the very notion of ownership. We begin to abstract our relationship to stuff as something we interact with more than possess. While this is potentially liberating it also makes it easier for content providers to assert total ownership in perpetuity: you’re merely borrowing content through a service provided by the “real” owner. Without direct ownership, are we protected and do we still have the right to share?

With respect to content, personal ownership has shifted to the device – the increasingly fetishized container through which content is constantly flowing. Our smart phones are awesomely empowering extensions of our selves, conferring unimaginable abilities to their owner. The simplest & most intuitive of these devices become second nature, third-hand extensions of our bodies, effortlessly wiring us to each other, to content, and vast stores of knowledge. Of course we fetishize such objects and of course we’ve grown dependent upon them.

Industrialization has regrettably optimized its business model through planned obsolescence, with much hard product designed to time-out and push an upsell to the next model. No doubt the devices we now rely so heavily upon have their own built-in failings, whether intentional or simply as a byproduct of the profit margin incentivised to invest in no more quality than is absolutely necessary. So have the benefits of dematerializing content from cheap carriers been negated by the resource requirements and inevitable breakdown of our devices? Has the energetic and environmental impact spared by going paperless been doubled by the sheer overhead of manufacturing and running vast global server farms? Any real evaluation of the dematerialization of products to services must consider the very large impact of the infrastructure supporting it.

Nevertheless, this is where we’re headed. Mobiles will get smarter & prettier and will be increasingly targeted for content and transient marketing. Screens will continue to multiply at an exponential pace finding their way into all aspects of our lives. Hardware manufacturers will be increasingly beholden to both international standards committees and shareholders to account for the carbon and environmental impacts of their processes. And the notion of object and ownership will continue to be challenged in ways yet unknowable.

[Acknowledgements to Gavin Starks of AMEE and Tish Shute at Ugotrade.]

Tim O’Reilly: “We have greatness but have wasted it on so much. ”
We have an unprecedented opportunity to build a digital commonwealth. #etech
Work on something that matters to you more than money. This is a robust strategy. #etech
Niall Kennedy: Energy Star rating for web apps? Thinking of clouds & programming like tuning a car for better gas mileage. #etech
Cloud computing: no reasonable expectation of privacy when data is not in your hands. Not protected by 4th amendment. #etech
Alex Steffen: Problems with water supply are based in part on our lack of beavers. #etech
Social media for human rights. http://hub.witness.org #etech
Gavin Starks – Your Energy Identity & Why You Should Care. see http://amee.com #etech
Maureen Mclugh – Consider that technology may be evolving in ways that are not particularly interested in us. #etech
Becker, Muller: We have under-estimated the costs and over-estimated the value of our economy. #etech
Becker, Muller: We assume economic trade must be the primary framing of value in our lives. Why? #etech
Design Patterns for PostConsumerism: Free; Repair Culture; Reputation Scaled; Loanership Society; Virtual Production. #etech
NYT: emerging platforms, text reflow, multitouch, flexy displays, smart content, sms story updates, sensors, GPS localized content. #etech
Jeremy Faludi: Buildings & transport have the largest impact on climate change. Biggest bang for the buck in re-design. #etech
Jeremy Faludi – Biggest contributor to species extinction & habitat loss is encroachment & byproducts from agriculture. #etech
Jeremy Faludi – Best strategies to vastly reduce overpopulation: access to birth control & family planning, empowerment of women. #etech
Tom Raftery: Grid 1.0 can’t manage excess power from renewables. Solution: electric cars as distributed storage. #etech
Considering the impact of pluging AMEE (@agentGav) data in ERP systems for feedback to biz about supply chain impacts. BI meets NRG ID.
Mike Mathieu: Data becoming more important than code. Civic data is plentiful and largely untapped. Make civic apps! #etech
Mike Mathieu: Take 10 minutes today and pick your crisis. Figure out how to create software to help. #etech
What is #SantaCruz doing to make civic data available to service builders? We want to help SC be healthier & more productive.
Mark Fraunfelder: “I haven’t heard of anybody having great success with automatic chicken doors.” #etech [re-emerging technology]
Realities of energy efficiency: 1gallon of gasoline = ~1000hrs of human labor. #etech
Kevin Lynch: Adobe is saving over $1M annually just by managing energy. #etech
Designing backwards: Think about the destiny of the item before thinking about he initial use. (via Brian Dougherty) #etech
RealTimeCity: physical & digital space merges, people incorporate intelligent systems, cities react in accord w/needs of pub welfare. #etech
Oh my we’re being LIDAR’d while Zoe Keating plays live cello n loops. ZOMG!!!
zoe keating & live lidar is blowing my mind at #etech 1.3M points per sec!
Julian Bleeker cites David A. Kirby: “Diegetic prototypes have a major rhetorical advantage over true prototypes” #etech
Julian Bleeker: Stories matter when designing the future, eg. Minority Report. #etech
Julian Bleeker: “Think of Philip K. Dick as a System Administrator. #etech
Rebecca MacKinnon: Which side are we helping, River Crabs or Grass Mud Horses? #etech
Kati London: How can we use games to game The System and how can they be used to solve civic problems? #etech
Nathan Wolfe: Trying to fight pandemics only at the viral human level ignores deep socioeconomic causes of animal-human transmission. #etech
Nathan Wolfe, re: viral jump from animal to human populations: “What happens in central Africa doesn’t stay in central Africa.”
Nathan Wolfe: need to work with % of population w/ hi freq of direct contact with animals for early detection of viral transmission.
Nathan Wolfe: Vast majority of biosphere is microscopic, mostly bacterial & viral. Humans: very small piece of life on Earth. #etech

Indeed, the stream is certainly compelling. There is potentially great value in receiving & transmitting information as quickly as possible. As Twitter shows, people want to opt-in for notices from connections & information sources, but it’s uncertain whether Facebook users will be able to handle the unrestrained volume of content that it’s users post. Information is valuable only when it’s useful. The 140 character limit of the SMS underlying Twitter forces information to be clear & concise. It’s hard enough to keep up with Twitter posts, much less following everything your Facebook connections are allowed to post. The stream may simply be too overwhelming for most.

However, the interesting bits include the addition of filters that allow users to manage stream views, offering some hope to pare down the data glut. Likewise, the proposed ability to visualize a user’s social graph – the immediate and extended connections they have in Facebook – coupled to a lifting of the 5000 friend limit will open new opportunities for connectivity and communication but will also force users to manage their filters in order to deal with the volume.

The main downside seems to be Facebook’s ongoing insistence on private networks that are probably a legacy feature from the college-only days of in-group cliques that initially colonized the service. How will the rest of the world find value in it’s thoughtstream? How will businesses leverage the trends and interests of Facebook users if it’s too prohibitive to get access? Facebook may have the advantage in user numbers, but Twitter has the advantage in connectivity.

While Facebook boasts 175 million users, they cluster mostly in private groups. As someone who doesn’t use Facebook, I often encounter links that take me to the Facebook gates only to be turned away. It’s a walled garden to which the uninitiated do not have access. If Facebook is to approach the really interesting value of Twitter as a real-time search tool, it will need to open it’s network (and its API) to the rest of the world, thereby challenging its own users. Otherwise it will remain a land of closed & Balkanized cliques content to share party pictures and trade dollar beers, which may be enough for a business model but may fall short of moving into the territory currently occupied by everyone’s most surprising competitor: Twitter.