6. Frame
1. Ubicomp is a deep current.
Chris Arkenberg
@chris23
7. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
Chris Arkenberg
@chris23
8. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
3. Implementation is heterogeneous.
Chris Arkenberg
@chris23
9. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
3. Implementation is heterogeneous.
4. There is a tension between technology &
humanity.
Chris Arkenberg
@chris23
10. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
3. Implementation is heterogeneous.
4. There is a tension between technology &
humanity.
5. Governance contains, innovation
releases.
Chris Arkenberg
@chris23
11. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
3. Implementation is heterogeneous.
4. There is a tension between technology &
humanity.
5. Governance contains, innovation
releases.
6. We command our tools…
Chris Arkenberg
@chris23
12. Frame
1. Ubicomp is a deep current.
2. Nature is a deeper current.
3. Implementation is heterogeneous.
4. There is a tension between technology &
humanity.
5. Governance contains, innovation
releases.
6. We command our tools…
/But we’re helping them to command us.
Chris Arkenberg
@chris23
15. Assumptions
1. Roughly linear growth model.
Chris Arkenberg
@chris23
16. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
Chris Arkenberg
@chris23
17. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
Chris Arkenberg
@chris23
18. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
4. Adaptation more than mitigation.
Chris Arkenberg
@chris23
19. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
4. Adaptation more than mitigation.
5. Balkanization, distraction.
Chris Arkenberg
@chris23
20. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
4. Adaptation more than mitigation.
5. Balkanization, distraction.
6. Gaps & opportunities.
Chris Arkenberg
@chris23
21. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
4. Adaptation more than mitigation.
5. Balkanization, distraction.
6. Gaps & opportunities.
7. The living city is emergent.
Chris Arkenberg
@chris23
22. Assumptions
1. Roughly linear growth model.
2. Energy constraints are managed.
3. Capital models evolve slowly.
4. Adaptation more than mitigation.
5. Balkanization, distraction.
6. Gaps & opportunities.
7. The living city is emergent.
/An accelerating patchwork of
implementations defines the shifting urban
landscape.
Chris Arkenberg
@chris23
25. Domains
Personal
1. Network identification
Chris Arkenberg
@chris23
26. Domains
Personal
1. Network identification
2. Device mesh
Chris Arkenberg
@chris23
27. Domains
Personal
1. Network identification
2. Device mesh
3. Location
Chris Arkenberg
@chris23
28. Domains
Personal
1. Network identification
2. Device mesh
3. Location
4. Data profile
Chris Arkenberg
@chris23
29. Domains
Personal
1. Network identification
2. Device mesh
3. Location
4. Data profile
/We are clothing ourselves in sensitive
technologies.
Chris Arkenberg
@chris23
30. Domains
Local
[image]
Chris Arkenberg
@chris23
32. Domains
Local
1. Proximity
Chris Arkenberg
@chris23
33. Domains
Local
1. Proximity
2. Path
Chris Arkenberg
@chris23
34. Domains
Local
1. Proximity
2. Path
3. Context
Chris Arkenberg
@chris23
35. Domains
Local
1. Proximity
2. Path
3. Context
4. Boundaries
Chris Arkenberg
@chris23
36. Domains
Local
1. Proximity
2. Path
3. Context
4. Boundaries
/We are anchoring the virtual in the
actual, wiring the real to the transreal.
Chris Arkenberg
@chris23
37. Domains
Structural
[image]
Chris Arkenberg
@chris23
42. Domains
Structural
1. Architecture
2. Infrastructure
3. Transportation
4. Communication
Chris Arkenberg
@chris23
43. Domains
Structural
1. Architecture
2. Infrastructure
3. Transportation
4. Communication
/We are creating a computational sensorium
of urban informatics.
Chris Arkenberg
@chris23
44. Domains
Interaction
[image]
Chris Arkenberg
@chris23
59. Domains
Regulation
1. Feedback
2. Guidance
3. Governance
4. Control
Chris Arkenberg
@chris23
60. Domains
Regulation
1. Feedback
2. Guidance
3. Governance
4. Control
/By inviting algorithms to help us we enable
them to contain us.
Chris Arkenberg
@chris23
61. Domains
Interaction
[image]
Chris Arkenberg
@chris23
<pause>I want to start with a quote from Manu Fernandez… <two slides>
I want to start with a quote from Manu Fernandez…
An important distinction reminding us that humanity is at the center of intelligent cities offers a counterpoint to the productized packages of technological salvation so common Keep this in mind as I paint a somewhat tech-heavy picture
Start by setting the frame for this scenario I’m about to paint…this is informed by my experience of western cities. Things may be quite different in Lagos, Khartoum, Sao Paolo, and Damascus.
Computation is a fundamental driver for human innovation & adaptation. And we’re spreading it everywhere.
But nature is a deeper current. Computation is leading us back to biosystems.
There are innumerable innovations emerging from every corner across all scalesThe outcome will be a patchwork not a uniform solution
We’re not entirely at ease with our innovations the pace of technology is faster than our ability to understand its consequencesEspecially so as we yield more & more to machines & algorithms
This is a fundamental dialectic of creation – order & chaosBoth have positive and negative impacts
We made them after all…
But we’re helping them to command usThis is the trade-off we find ourselves beginning to negotiate here at the dawn of the 21st century.
If the frame is one of both excitement & tension what are the assumptions carrying this this particular scenario?
<next slide>
Global GDP slowly grows, more in Asia & Africa but funded & driven by the West.Cities continue to add population. We see both optimizations & degradations – boom time build-outs and downturn data decay
We avoid the energy crash through a combination of old & new inputsBut there are many bumps along the way especially as the resource needs of the developing world begin to dominate the global stage
Economic structures are evolutionary not revolutionary,Things will change but not radically in the near term. However, capital will continue its steady redistribution into younger markets trying to capture the prosperity of the West.
We’re not yet able to understand & manage high-level systems – especially complex natural systems.As a species, we’re still better at adapting than designing.
Governance will increasingly balkanize top-level authority will be more & more distracted contending with multinational corporations, NGO’s, syndicates, & super-empowered individuals
Such distraction opens tremendous gaps for innovation both for good & illSmall town mayors and local tech collectives are as likely as gun traffickers and drug cartels to drive regional innovation.
You can’t just design & engineer great cities from scratch. they emerge organically and grow by the will of their inhabitants
It is assumed that cities are highly resilient and resist extraordinary change even in the face of greatdiscontinuitiesthe urban landscape will continue to evolve mostly as it has though it will increasingly extrude a rich skin of connected technologies
Given these assumptions I’d like to explore 6 domains through which we engage the cityAnd define a loose taxonomy of mediated interactions we have with the urban computational scaffolding
The personal domain is about the individual as reference point and the types of experiences that arrange around us
Our network identification begins with our connected devicesEvery individual has an IP address.Our network ID authenticates & provisions us with access or bars us from admittance.
The clothes we wear, the devices we carry are coming online line and will be catalogued as part of our personal mesh
Our identity is wrapped in and contextualized by our location.Location confers spatial intelligence and invokes situated technologies.
Data profile contains our personal information, memberships, affinity, networks, paths, history, etc…This is our digital identity linked to our network identification.This is the core information structure around which the urban interface assemblesThis is how….
We are clothing ourselves in sensitive technologies
<pause> *next slide*
Surrounding the personal domain is the Local sphere and the relationships we have with our surroundings
From identity & location we derive proximity what are we near? can we interact act with it in some way? Is it interested in us? Does it have something hidden to reveal?Proximity reaches out to ambient information
Our movements through the city contain information valuable to us & to otherswhere have we been? what is our likely trajectory? are there path optimizations available? how can we meet and assemble? disperse and evade…
Context is a buzzword at the moment but eventually it will just be how things happenidentity & proximity enable context awareness & situated technologies. Around context you can assemble relevant services & solutions
Boundaries, zones, perimeters – an always-on network ID that understands identity, proximity, and context can provision or revoke services based on locationGeofencing is a friendly welcome, a local game world… or an ankle bracelet under house arrest.
In the local domain we have extended senses and invisible fencesIn this way we are anchoring the virtual in the actualWiring the real to the transreal
From the local comes the broader context
The structural domain. Defined by a rapid mapping & instrumentation of the built environment through construction and retrofit modeling & reality capture plumbing sensors, computation, and network connectivityThis is the IBM brochure of the Smart City.
Architecture is the most obvious embodiment of the built environment. With CAD, BIM, & realtime dashboardsWe can see the runtime mirror of living architecture mapping infrastructure, heat envelopes, and human activity
Energy, security, water, waste, heating, roadways, rail, inflows outflows seismic atmospheric…. it’s all coming online, communicating & correcting <pause> new data instruments will be necessary to interface with and comprehend the flowing volume of urban informatics
Transport is the blood flow of the city. Instrumentation promises great efficiencies in scheduling, way-finding, flow optimization, and tracking of goods. It will also create increased automation, remote management & control, and entirely new systempunkts for disruptors to attack.
Ubiquitous wireless coverage, unavoidable instrumentation, a civic nervous system wired by fiber to the global brain. Ambient messaging, continuous status, non-local task assignment, and frictionless communication. Mobile mesh networks & distributed computation, We will all be mechanical turks in rented clusters
We are creating a computational sensorium of urban informatics waking the built environment through instrumentation & connectivity
The best example I can think of to prove augmented reality.AR is really just a interface layer – this is where the real enterprise money is
Interaction is implicit in all the previous domainsWhat are the parameters of access & interface?
The visual interface is the most common to AR And to fears of occlusion and relentless billboarding by marketersBut what of tags & annotations, memorials and territories,Visible avatars and secret locations..?How will the shared construct of reality be forced to shift when what I see is different from your annotated view of the world?
The city is talking to us, personal, contextual, instructively, artisticallya poem embedded in a bench spoken by an ancestor as we walk past
Force-feedback, haptic vibrasuits, handprint biometrics and sensing surfacesHow might haptics be adopted in personal, social, and public contexts?
A visible language of form & movement, seen by machine eyes and relayed to networks, actuators, and servo arraysThis is also gait analysis and physio-skeletal profiling.
Verbal commands to digital ears. Occult communications. Talk to your device, talk to the walls, speak friend and passThese are ways we interface with the awakening world
Our nature is social. Relationships are interactive & transactional.We build technologies to enable new relationships sometimes we’re forced into them…
At its core, Cybernetics is a means to control information systems. The combination of ubiquitous computation and network connectivity is, by design, a control system.
Regulation in the living city is a good thing and a bad thing. Control is both optimization and oppression, depending on the circumstances. Connected identification, proximity & location knowledge, remote access to embedded systems, and ubiquitous surveillance enable an array of solutions to a host of interested 3rd parties
I like this quote for the sense of moral ambiguity that it introduces into the ubicomp conversation
This is important to consider as we bond more closely with machines & algorithms
Implicit in feedback is knowledge of the system Feedback is state & status
Feedback of information allows for correction & guidance. State & status becomes assessment & responseExample:autopilot in airplanes. the content recommendation algorithm in Facebook.One keeps us safe from change, another keeps us ignorant of diversity.
Guidance becomes governance both in embedded systems and human behaviors.Algorithmic guidance is the Prius dashboard telling you your fuel consumptionEmbedded governance is a bottle of Valium that won’t open if you’re above your weekly allowance.
Cybernetic control is greatly enabled by shared network computation mediating our interactions, regulating our structures, guiding our vehicles and devices, and slowly, being invited into our bodies.
By inviting algorithms to help us we enable them to contain usThis is a delicate path to tread
The balance to cybernetic governance may lie in programed serendipity, digital artistic license, or simply the freedom allowed by a sudden glitch in the algorithm.
In articulating the New Aesthetic, Bruce Sterling considered the movement as arising from…
An eruption of the digital into the physical.The domain of aesthetics is the emotional engagement we have with this eruption
<next slide>
Screens, annotation, and overlaysA blending of layersA growing inability to distinguish authentic from synthetic
Sally Applin & Michael FischerHow society is modulated by technologyHow multiplexed channels of experience reform relationships and their contexts
<pause>The brain evolved to handle one construct of realityWe now overlay local and remote experiences simultaneouslyThis is an entirely new cognitive mapThe psychological exploration of this territory reveals itself through our artistic expressions
Telepresence, data compression, machine vision, reality capture, glitch media – A Cyborg aesthetics emerges to communicate the emotionality ofand fascination with thisinterface between humanity and technology . <pause>
these are the artifacts of the New Aesthetic precipitating from the eruption of the digital into the physical.Thegreat work of art & science communicates the centrality of humanity within these domainsYet, human perception, cognition, & expression are all modulated by this ingression of virtuality into our lives<pause>
The quickening emergence of ubiquitous computation, polysocial reality, and non-local cognition alters the way we experience the world around us, the way we connect with others, and the way we construct our sense of self. Whilewe must be very careful when we abdicate responsibility to mechanized objects & autonomous governance… the living city offers great opportunities for novelty, innovation, empowerment, and a deep expression of humanity.
an important refrain to bear in mind: underneath all the shiny new things <pause> we’re still playing the same games… Just young apes, not far from the Savannah, looking for a moment of rest before the new dawn awakens.