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The Next Web How this new network of connected things is a complex system. Why this means we no longer know what we’re doing. And why that might just be ok after all. 13 June 2014

A Digital Conversation: The Next Web

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A Digital Conversation Meetup, June 2014. The closing presentation of the evening was shared by Adam Sefton. Talking on the subject of complexity of the Next Web, he suggested instead of worrying about trying to organise and control this world, both digital and offline, we should embrace complexity (unicorns and all) and allow solutions to evolve and emerge naturally. Adam Sefton is Global Executive Creative Director at Reading Room. He's been working in digital on a variety of levels for over 10 years, the last 6 in senior agency positions. He is excitable, energetic and enthusiastic about the internet, how people like to use it and what might happen to it in the future. He is returning to discuss how the emergent principles and technologies underlying the next iteration of the web should influence organisations digital strategies. What are the challenges and opportunities facing digital decision makers.

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Page 1: A Digital Conversation: The Next Web

The Next WebHow this new network of connected things is a complex system.

Why this means we no longer know what we’re doing.

And why that might just be ok after all.

13 June 2014

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What it used to be

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What it is now

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It’s complicated

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Keep it simple, stupid

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“As with all things in life,

it’s changed …

So I guess I now prefer

complexity.”

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Bugger

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Complex systems

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Complex systems

(the following from “Complexity: A Guided Tour” by Melanie Michell)

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Complex systems

• Complex collective behaviour – the whole is not just the sum of

its parts.

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Complex systems

• Complex collective behaviour – the whole is not just the sum of

its parts.

• Signaling and information processing – these systems both

produce and consume signals and information.

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Complex systems

• Complex collective behaviour – the whole is not just the sum of

its parts.

• Signaling and information processing – these systems both

produce and consume signals and information.

• Adaption – they adapt through learning to get more effective at

what they do.

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Examples

• The Human brain.

• Weather and climate.

• The behaviour of societies.

• Communication networks.

• Capitalist markets.

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Important Point #1

• Complex systems cannot be understood by understanding their

constituent parts.

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Aside #1 – measuring complexity

• The system is as complex as the lines of computer code it would

take to code that system from start to finish.

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Example system 1.0

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Example system 1.1

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Example system 1.2

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Example system 1.3

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Example system 1.4

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ARRGGHH

Example system 1.5

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Example system 2.0

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Example system 2.1

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It’s adapting, but it’s painful

• It happens all the time.

• So why do we expect to get it right next time?

• Because we understand more this time?

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It’s adapting, but it’s painful

• It happens all the time.

• So why do we expect to get it right next time?

• Because we understand more this time?

• Remember, complex systems do not get easier to understand the

more you understand their constituent parts.

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Seeking simplicity in the

face of complexity is

simply a faster route to

obsolescence.

Accepting complexity

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http://responsive.org/2014/05/you-cant-escape-complexity/

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Important Point #2

• New technologies mean our systems have to adapt. Fighting that

adaption is painful and in all likelihood entirely futile. Stop it.

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Aside #2 – death of RSS was Very Bad

• It represents the New Order (Google, Facebook, Apple)

tightening their walls around their (your) data.

• It represents them locking you (the user) into one ecosystem.

Apple do it better than others, but they ALL do it.

• But being locked into one platform does not simplify the

experience. The system is still complex.

• And now you have less choice.

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Concentric complex systems

• Not only are our technological networks complex, but the

organisations in which they sit are likely also complex.

• We have to deal with, unfortunately, complex systems within

complex systems.

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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The Next Web

Marketing H.R.I.T.Sales Finance

MarketingDirector

MarketingManager

BrandManager

CommsManager

DigitalMarketingManager

DigitalMarketingManager

MarketingExecutive

MarketingExecutive

Concentric complex systems

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ARRGGHH

Haven’t we been here before?

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An example

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Important Point #3

• Complex systems exist within other complex systems. The

workings of one interact with the workings of the other.

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The Black Swan

• The Black Swan is a concept based around the idea of events

that are impossible to predict but that seem obvious in hindsight.

• For a variety of reasons, this is true of almost all large events.

• Human beings are very bad at accepting randomness. But the

truth is that random events impact upon our lives and success far

more than we realise.

• See also: Outliers; Thinking Fast, Thinking Slow; Any Good Book

On Behavioural Economics.

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Dealing with uncertainty

Nassim Nicholas Taleb’s approach to the stockmarket:

• Place a lot of bets on exceptionally safe low-odd outcomes

• Place a few on exceptionally risky high-odd outcomes

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Dealing with uncertainty

If you don’t know which 1 thing is going to happen, do more

than 1 thing.

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Important point #4

• Complex systems are hard to understand.

• But human beings like to feel like they understand.

• Post-rationalisation is rampant and covering up the truth.

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Benefiting from complexity

• Complexity brings uncertainty.

• We might understand what happened, but we don’t yet

understand how or why it happened.

• Can we use this to our advantage?

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Why don’t we just accept the truth

• We don’t know. We’ve got no clue. Sorry boss.

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If we know this, we can benefit by …

• Building extensible systems. APIs. Standard frameworks and

interfaces. Common web services. Things that allow data to flow

between points more easily.

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If we know this, we can benefit by …

• Building extensible systems. APIs. Standard frameworks and

interfaces. Common web services. Things that allow data to flow

between points more easily.

• Building adaptable systems. More advanced notions of AI that

helps systems learn and adapt to new environments.

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If we know this, we can benefit by …

• Building extensible systems. APIs. Standard frameworks and

interfaces. Common web services. Things that allow data to flow

between points more easily.

• Building adaptable systems. More advanced notions of AI that

helps systems learn and adapt to new environments.

• Building open systems. Open, standardised platforms make

extensible and adaptable easier.

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If we know this, we can benefit by …

• Building extensible systems. APIs. Standard frameworks and

interfaces. Common web services. Things that allow data to flow

between points more easily.

• Building adaptable systems. More advanced notions of AI that

helps systems learn and adapt to new environments.

• Building open systems. Open, standardised platforms make

extensible and adaptable easier.

• Building more systems. If we cannot know for sure what will

work, we should do more than 1 thing.

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What might we see in the future?

• Solutions shared across multiple clients, collaborating to develop

better results (e.g., multiple charity clients sharing data to

develop big data prediction solutions).

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What might we see in the future?

• Solutions shared across multiple clients, collaborating to develop

better results (e.g., multiple charity clients sharing data to

develop big data prediction solutions).

• Rapid prototypes, development of Minimal Viable Products, that

are released quickly, learnt from, and redeveloped.

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What might we see in the future?

• Solutions shared across multiple clients, collaborating to develop

better results (e.g., multiple charity clients sharing data to

develop big data prediction solutions).

• Rapid prototypes, development of Minimal Viable Products, that

are released quickly, learnt from, and redeveloped.

• A website that has a genetic algorithm that constantly evolves its

IA to maximise conversion.

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What might we see in the future now?

• US firm DataKind was set up with the expressed intention of

helping charities to find data professionals to help with data

analysis across multiple charities.

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What might we see in the future now?

• Government Digital Services in the UK have been leading the

push, releasing work in an agile fashion, adapting to the chaos

caused by complex systems.

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What might we see in the future now?

• A space antenna, designed by a genetic algorithm (in 2008). This

was a better design than anything designed by human-hand.

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This is happening now

• The ability to accept you cannot understand frees you

• You can plan and build things differently. More successfully.

• And finally …

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Answering “will it go viral”

I don’t know if it will go viral. In fact, I cannot know if it will go viral,

as the concept of viral spread is inherently a complex system that is

unfortunately not understandable by reviewing and understanding

its constituent parts. Therefore despite being able to review the

creative idea, despite having an excellent grasp of social media,

despite knowing the number of fans and followers your brand has

and despite knowing the amount of budget you have to spend on

media to kick start it [DEEP BREATH] I am unable to tell you if this

piece of work will go viral.

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Thanks very much

[email protected]

@adamsefton

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One last thing!! One-in-twenty

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