Mar 082012
 

Figure 1 – The Organic Cluster

shoreditchprofile

Silicon Roundabout, is an entrepreneurial cluster which has has grown up around Shoreditch and Old Street in East London, extending to reach the Olympic Park in Stratford. It is a ‘hot ticket’ in terms of innovation and creativity and comprises start-ups, multinationals, academia and VCs. A number of big players (Cisco, LinkedIn, McKinsey, Imperial Innovations and Atos) have ‘presence’ and are actively working on various innovation and business development initiatives therein.

The cluster is essentially ‘organic’ (i.e. not specifically engineered around academia, as was largely the case with the Cambridge cluster). There has been assistance from central government, but much of the entrepreneurial success pre-dates this involvement.

Tech City Map (Figure 2 below) is a ‘window’ on the interaction between companies within the cluster. A high-level analysis of the map and interactions between participants leads to a number of conclusions about the cluster’s make up (Figure 1). It is safe to say it is significantly heterogeneous. There are a number of primary participant groups:

  1. Creatives and design companies – the vanguard of Silicon Roundabout?
  2. Hybrid businesses – creatives combining design, PR, web tech and promotions
  3. Social enterprises – not for profits etc.
  4. Academia – e.g. the Digital Media Innovation Centre at London Metropolitan
  5. Traditional businesses providing core services (legal, accounting, business support etc.)
  6. Financial services – in niche segments and through the City of London and investors such as Barclays
  7. Shared service providers – an interesting function supplying ‘economies of scale’ within the cluster for certain commodity functions (printing etc.)
  8. Physical and virtual spaces – e.g. The Trampery, The Cube and portals such as Space Projects
  9. Founding Partners of Tech City map – Thomson Reuters, Cisco, Atos, LinkedIn, Playgen and social analytics specialists, Trampoline Systems
  10. Digital media companies are pervasive (across video, animation, music, games, and mobile tech)
  11. Meet ups, and ‘drink ups’ are popular and a small industry has ‘sprouted up’ aimed at ‘entertaining the cluster’ and offline networking
  12. Consulting companies and journalists are present in smaller numbers
  13. I haven’t spotted any specific Gov Cos. (i.e. formally co-owned public / private sector ventures). I think it would be disingenuous to consider the cluster as such, as its success is  attributable to the entrepreneurs and VCs
  14. Near neighbours is an interesting consideration. Does the cluster have a gravitational pull for ‘near-neighbours’? Mainstream fashion brands are establishing presences in Shoreditch, no doubt to leverage local creativity (and perhaps even credibility).

As I watch conversations flow across Twitter’s wires on the Tech City Map I’m intrigued to better understand:

  • Is the map widely used by those within the cluster?
  • Are the links and conversations which the map ‘surfaces’ representative of the ‘real’ connections and conversations between companies?
  • Given the physical ‘intimacy’ of the cluster, is offline networking of more importance than ‘online networking’?

I’d love to hear your views. These are interesting ideas to ponder over ‘beer and nuts’ at a future Silicon Drinkabout.

Figure 2 – Tech City Map – The social graph of Digital Shoreditch

TechCityMap

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Mar 012012
 

Rasberry Pi launch

RasberryPI

The Raspberry Pi launch has clearly been a success. Due to high traffic volumes the folks at http://www.raspberrypi.org/ stood up a static webpage (pictured above).

RS Components and Premier Farnell who have entered into licensed manufacture partnerships with Raspberry Pi seemed to cope with the traffic volumes a little more gracefully.

Reverting to ‘static site’ is kind of a badge of honour – but only for the smaller-scale-creatives. High-volume multinationals would no doubt blush if their online businesses went down due to a single (although highly successful) product launch.

My favourite excerpt from the Rasperberry Pi static site:

For up-to-the-minute news on what’s happening, follow @Raspberry_Pi on Twitter. The note below reads:

only until about 6pm GMT, though, because we’re all going to the pub after that!

It wouldn’t quite work for RS Components or Farnell, but very endearing for Rasberry Pi on a very successful day.

All of the first units to be produced are the $35 Raspberry Pi Model B. These are the more fully featured versions of the Raspberry Pi. The main difference from the Model A is that they include an Ethernet port, and 2 USB ports.

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Feb 242012
 

laws

One of my favourite eponymous laws is Greenspun’s tenth rule:

Any sufficiently complicated C or Fortran program contains an ad hoc, informally specified, bug-ridden, slow implementation of half of Common Lisp

Any self-respecting sceptic should memorise Hanlon’s Razor:

Never attribute to malice that which can be adequately explained by stupidity

Anti Patterns in management, architecture, software engineering and life are codified in these pithy observations:

  • Clarke’s three laws
    • First law: When a distinguished but elderly scientist states that something is possible, he is almost certainly right. When he states that something is impossible, he is very probably wrong.
    • Second law: The only way of discovering the limits of the possible is to venture a little way past them into the impossible.
    • Third law: Any sufficiently advanced technology is indistinguishable from magic.
  • Amara’s law – "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run."
  • Bradford’s lawa pattern that estimates the exponentially diminishing returns of extending a library search.
  • Brooks’ law – "Adding manpower to a late software project makes it later."
  • Campbell’s law – "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor.”
  • Classen’s law – Theo Classen’s "logarithmic law of usefulness" – ‘usefulness = log(technology)’.
  • Conway’s law – “Any piece of software reflects the organizational structure that produced it.“
  • Dilbert principle – "the most ineffective workers are systematically moved to the place where they can do the least damage: management."
  • Gall’s law – "A complex system that works is invariably found to have evolved from a simple system that worked."
  • Gibrat’s law —"The size of a firm and its growth rate are independent."
  • Goodhart’s law – “When a measure becomes a target, it ceases to be a good measure.”
  • Hanlon’s razor – a play on Occam’s razor, normally taking the form, "Never attribute to malice that which can be adequately explained by stupidity." Alternatively, "Do not invoke conspiracy as explanation when ignorance and incompetence will suffice, as conspiracy implies intelligence."
  • Hawthorne effectA form of reactivity whereby subjects improve an aspect of their behaviour being experimentally measured simply in response to the fact that they are being studied.
  • Herblock‘s law – "If it’s good, they’ll stop making it."
  • Humphrey’s law – “conscious attention to a task normally performed automatically can impair its performance.”
  • Hutber’s law – "Improvement means deterioration."
  • Kranzberg’s first law of technology – “Technology is neither good nor bad; nor is it neutral.”
  • Littlewood’s law – “individuals can expect miracles to happen to them, at the rate of about one per month.”
  • Mooers’ law – "An information retrieval system will tend not to be used whenever it is more painful and troublesome for a customer to have information than for him not to have it."
  • Muphry’s law – "If you write anything criticising editing or proofreading, there will be a fault of some kind in what you have written."
  • Poe’s law (religious fundamentalism) – "Without a winking smiley or other blatant display of humour, it is impossible to create a parody of fundamentalism that someone won’t mistake for the real thing."
  • Rothbard’s law – “Everyone specializes in his own area of weakness.”
  • Sayre’s law – "In any dispute, the intensity of feeling is inversely proportional to the value of the stakes at issue."
  • Segal’s law – "A man with a watch knows what time it is. A man with two watches is never sure."
  • Skitt’s law – "Any post correcting an error in another post will contain at least one error itself," or, "The likelihood of an error in a post is directly proportional to the embarrassment it will cause the poster."
  • Sowa’s law of standards – "Whenever a major organisation develops a new system as an official standard for X, the primary result is the widespread adoption of some simpler system as a de facto standard for X."
  • Wirth’s law – “Software gets slower faster than hardware gets faster.”

Perhaps Nimmons’ law of Anti Pattern avoidance should be:

The value of an eponymous law is less attributable to the reputation of its namesake, than to the calamitous Anti Pattern it helps avoid.

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Feb 232012
 

bulb

Thanks to my good friend and Open Innovation cohort Francisco De-araujo-roso Pinheiro, for signposting some interesting posts on the 15inno group on LinkedIn from Stefan Lindegaard, and some of the academic work he is guiding with EOI Innovation students.

Please read, ruminate, cogitate and feedback to Stefan (a prolific Open Innovation practitioner and commentator) as to the content of the 15inno articles.

15inno

Tap the brain of Stefan Lindegaard and network with corporate innovators!
http://www.15inno.com/2012/02/23/15innocorporatenetwork/

Open Innovation, Crowdsourcing in the Public Sector – 11 Great Reads
http://www.15inno.com/2012/02/23/publicsectorreads/

Innovation That Works!
http://www.15inno.com/2012/02/22/innovation-that-works/

Statoil and Shell: Fighting for Innovation Partners
http://www.15inno.com/2012/02/20/statoilshell/

Examples of Using Social Media for Innovation
http://www.15inno.com/2012/02/03/smexamples/

5 Ways to Get Better Innovation With Less Money
http://www.15inno.com/2012/01/17/betterinnovationlessmoney/

Communication is Key to Successful Open Innovation
http://www.15inno.com/2012/01/15/communicateopeninnovation/

Francisco’s Work in Open Innovation

Open Innovation and/or User-Lead Innovation (work submitted by Francisco’s EOI Innovation students)

Please review, encourage and support the next wave of Open Innovation thinkers.

1. http://www.eoi.es/blogs/francescomazzeo/2012/02/06/open-innovation-society-participation/

2. http://www.eoi.es/blogs/jonathancabrero/2012/02/12/innovation-growth/

3. http://www.eoi.es/blogs/lauraambros/2012/02/09/open-innovation-and-lead-user-innovation/

4. http://www.eoi.es/blogs/albertorengel/2012/02/12/open-innovation-lead-user/

5. http://www.eoi.es/blogs/carloscerdan/2012/02/12/open-innovation-the-present-and-future-of-innovation/

6. http://www.eoi.es/blogs/dianapatriciasanchez/2012/02/13/open-and-lead-user-innovation/

7. http://www.eoi.es/blogs/pablogonzalezvina/2012/02/14/open-innovation/

8. http://www.eoi.es/blogs/alfonsomedal/2012/02/12/open-innovation-from-why-to-what/

9. http://www.eoi.es/blogs/alfredoperaita/2012/02/10/innovative-world/

10. http://www.eoi.es/blogs/antoniocalixtomoreno/2012/02/13/%E2%80%9Copen-innovation%E2%80%9D/

11. http://www.eoi.es/blogs/elisaroman/2012/02/11/move-fast-break-things-facebook/

12. http://www.eoi.es/blogs/ildikoheim/2012/02/13/innovation-class-the-innovation-for-development-initiative-alias-openlead-user-innovation-for-good/

13. http://www.eoi.es/blogs/pedropernas/2012/02/09/lead-user-innovation-of-innovation-blog/

14. http://www.eoi.es/blogs/piotradamlubiewa/2012/02/07/innovation-what-is-open-innovation/

15. http://www.eoi.es/blogs/rubenpardo/2012/02/11/innovation/

16. http://www.eoi.es/blogs/amayasayas/2012/02/12/open-innovation-and-lead-user-innovation/

17. http://www.eoi.es/blogs/federicocamino/2012/02/12/open-innovation-shifting-to-a-more-efficient-business-model/

18. http://www.eoi.es/blogs/laurenmusiello/2012/02/12/open-innovation/

19. http://www.eoi.es/blogs/marieglueck/2012/02/12/why-companies-have-to-open-their-doors-and-how-to-do-it-innovation/

20. http://www.eoi.es/blogs/cristinagarcia-ochoa/2012/02/11/open-innovation-the-apple-case/

21. http://www.eoi.es/blogs/hokumakarimova/2012/02/07/innovation-opening-doors-to-ideas/

22. http://www.eoi.es/blogs/ricardogarro/2012/02/12/open-innovation-and-user-lead-innovation-opposites/

23. http://www.eoi.es/blogs/javiersolano/2012/02/12/open-innovation-why/

24. http://www.eoi.es/blogs/mariadiez/2012/02/08/open-innovation-and-lead-user-innovation/

25. http://www.eoi.es/blogs/saraelizalde/2012/02/12/open-innovation/

26. http://www.eoi.es/blogs/alvarorodero/2012/02/13/be-opened-lead-them-lead-user-open-innovation/

27. http://www.eoi.es/blogs/elvirasaez/2012/02/11/open-innovation-open-up-your-mind/

28. http://www.eoi.es/blogs/patriciaperez/2012/02/07/innovation-blog-will-open-innovation-became-a-business-mainstream/

29. http://www.eoi.es/blogs/tabithahmkandawire/2012/02/13/innovation-more-benefits-from-open-innovation/

30. http://www.eoi.es/blogs/alexandrunicolaecosor/2012/02/11/open-innovation-lead-user/

31. http://www.eoi.es/blogs/lauranavas/2012/02/04/innovation-through-collaboration/

32. http://www.eoi.es/blogs/syafrinasharif/2012/02/12/open-innovation/

33. http://www.eoi.es/blogs/arturodelfresno/2012/02/12/innovation-trends-evolution-closed-open-and-lead-user-innovation/

34. http://www.eoi.es/blogs/lucapalma/2012/02/06/the-medical-mirror-a-mit-student-innovation/

35. http://www.eoi.es/blogs/davidgarciagonzalez/2012/02/10/open-innovation/

36. http://www.eoi.es/blogs/elenaarboleya/2012/02/12/innovating-for-companies/

37. http://www.eoi.es/blogs/tatianacasquero/2012/02/12/innovation-open-innovation-philips%C2%B4-approach-to-improve-people%E2%80%99s-lives/

38. http://www.eoi.es/blogs/fabiopinto/2012/02/15/innovation-open-innovation-lead-user-innovation/

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Feb 212012
 

The theme of Deloitte’s 2012 annual Tech Trends report examines:

those topics that have the most potential to impact businesses over the next 18 to 24 months. This year’s theme, Elevate IT for Digital Business, examines the broad impacts of five technology forces that have influenced our reports over the past several years – analytics, mobility, social, cloud and cyber security.

Tech Trends 2012 Overview Video

An introduction to the Tech Trends 2012 report, and an interesting mention of the concept of Post-digital Enterprise.

2012 Tech Trends Visualisation

The report categorises trends as Enablers (Big Data, Geospatial Visualisation, Digital Identities, Measured Innovation, Outside in Architecture) and Disruptors (Social Business, Gamification, Enterprise Mobility Unleashed, User Empowerment, Hyper-hybrid Cloud).

[mindmap source, Steve Nimmons]

trends2012

High-level Analysis

Trend Thoughts What have I been writing about this…
Social Business No discussion of Social Network Analysis (SNA), organisational design based on SNA (although Social Analytics is mentioned a number of times in the report). The forces and enablers described in this section point towards Zero Email as a solution (this is not mentioned). Redefining the Real Time Enterprise

Social search and the integrity of the social graph

Unseen Enemy

Organisations don’t Tweet, People Do

Enterprise Patterns, the Power of Wiki

Gamification Good description of an increasingly important tech trend. I am very interested in the behavioural dimensions (nudge theory, behavioural economics) and learning.

Cascading Information Theory gets a mention  – i.e. the theory that information should be released in the minimum possible snippets to gain the appropriate level of understanding at each point during a game narrative.

An important point noted in the report: “And yet in the business world, many games only have a handful of winners, and lots of losers.” Gamification in the Enterprise needs to cope with this, and not ‘promote’ domination.

Cubicle Gaming and “using Gamification to help train users on overlooked features of their tools” has merit. This thinking could equally be applied to business processes, dealing with complexity and compliance ‘nudges’, particularly on ‘unfamiliar’ process paths.

The Play Watchers – Games are getting serious

Competition models are common in crowd sourcing and challenge-based innovation. The potential role of Gamification as an Open Innovation driver should be further explored.

Enterprise Mobility Unleashed Big Data and Context Aware Computing are ‘key enablers’.

‘Bring your own’ is an unstoppable trend, rethinking risk management is essential.

Augmented Reality and Smart Shopping will also come into play.

HCI, usability, aesthetics, ‘look and feel’ unique selling points for enterprise applications.

Enterprises defining Channel Strategies as part of Enterprise Architecture.

This is good advice:

“The mobility landscape is moving at warp speed. CIOs need a mobile strategy limited to a six-month horizon. Decide on an initial mobile app architecture. Establish foundational recommendations for management, deployment and support. Create a roadmap of prioritized use-cases and apps.”

Atos IT Challenge

“For me, a good app is innovative, intuitive and once used is something you find it hard to have imagined life without. There are a plethora of copy-cat apps which whither and die. A good app has staying power, satisfied users and understands what it is there to deliver and why. Great apps break boundaries, challenge norms and lead markets!”

User Empowerment Bring your own device is going mainstream.

Bring your own application (BYOA) will gain traction. I think there is an interesting productivity study in BYOA in terms of balancing heterogeneity (and the complexities this has in the Enterprise Architecture) versus end-user productivity with familiar or favoured tools. The complexity is to build the underlying architectures to support end-user-choice.

With user-empowerment we need to keep a watchful eye on creation of Shadow IT Systems or workarounds that are Anti Patterns pretending to be part of the user-empowerment agenda.

Consumerisation as a disruptive force on Enterprise Architecture.

Towards Bring your Own Identity.

Hyper-hybrid Cloud I don’t like the term Hyper-hybrid clouds. Suffice to say this is a trend towards using mixed cloud models rather than single clouds. That makes perfect sense, and process orchestration and identity federation are definite challenges.

See video below on Cloud Orchestration for a more developed conceptual view of hybrid cloud

We have done a lot of thinking in this area in terms of Cloud Orchestration.
Big Data Goes to Work Big Data underpins many web scale apps such as Facebook, Twitter and Linkedin.

Hadoop (Google, Yahoo!), Cassandra (Facebook), Dynamo (Amazon), Project Voldemort (LinkedIn), Riak, CouchDB and MongoDB are the main NoSQL players.

I agree with the assertion that Big Data (massive volume of unstructured data) will coalesce with traditional structured / transactional systems.

Big Data is going to be an enabler in terms of creation of (what I describe) as a redefined Real Time Enterprise. It will also feature heavily in pattern detection, predictive analytics and Pattern Based Strategy.

Big Data Ecosystems

Redefining the Real Time Enterprise

The section on Data Architecture in the Deloitte report raises many interesting questions and design trade-offs.

CIOs and Enterprise Architects implementing Big Data need to define the overall information strategy, and link these to new Enterprise Data Principles.

Geospatial Visualization A very natural build on location-aware data and Context Aware Computing. Geospatial analysis will undoubtedly surface interesting underlying trends and help drive new business models.

My particular interests lie in Augmented Reality (from the likes of  Layar, Junaio and Aurasma) and Smart Shopping applications.

Geospatial Visualisation has a place in Social Network Analysis and Social Analytics.

I’ve not yet written about it, but I have been pondering the potential for Geospatial Analysis and Visualisation in the Open Innovation domain – namely understanding innovation ecosystems and how they might best be constructed and monitored.
Digital Identities This trend highlights the problem of identity sprawl and the need for increased identity federation capabilities, particularly with the growth of cloud services.

It is likely that there will be a ‘rise of Identity Providers’ as trust frameworks and standards are adopted and extended. Utility companies, banks, credit agencies, corporations, government (etc.) are all likely to participate in an Identity ecosystem underpinned by Identity as a Service,

‘Bring your own Identity’ might also trend.

New World Identity – White Tick, Blue Circle Trust
Measured Innovation Too timid and traditional for my taste. I advocate a much bolder foray into Open Innovation.

Idea hunts and innovation quests will also benefit from Big Data, Geospatial Visualisation and Social Analytics. Interesting points to explore (but not covered explicitly in the report) is creation of innovation ecosystems and how participants can be sourced using Big Data and analytics (i.e. hunting for symbiotic innovation partners)

Open Innovation and the Ecosystem of Everything
Outside-in Architecture I advocate Open Innovation as an Outside-in Architecture enabler.

Due to the nature of the architectural patterns this gives rise to, my advice would be use “What Would the Web Do?” thinking and implement RESTful services. Simple web technologies will keep integration simpler and ensure a ubiquitous implementation.

Thinking Sideways, horizontal is the new vertical

Atos Cloud Orchestration

Summary

A very well produced and interesting report. Social Network Analysis, Pattern Based Strategy and Open Innovation deserved specific mention as does Zero Email as a consequence of Social Business. I am somewhat surprised that video (as a trend) is not specifically included.

I love the idea of Post Digital Enterprise, which sparks an idea for “Design Patterns for the Post Digital Enterprise.”

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Feb 182012
 

A feudalism Anti Pattern?

lineup

 

This Anti Pattern attracts controversy. It is potentially incendiary, and presents itself during analysis of business architecture, particularly organisational design and efficiency.

Anti Pattern Name [Headcount Justifying the Manager.]

Type: [Managerial, Organisational.]

Problem: [Organisational Structure may have changed and departmental headcount reduced, yet managerial roles have not been re-factored or re-assigned. Another manifestation is the creation or parallel evolution of similar functions. The former is typically because of a Status Quo Bias ‘perpetuating’ management structures which are no longer required or efficient (a ‘yeah, whatever’ approach to change). The latter is commonly due to poor governance and mergers.]

Context: [Business Architecture.]

Forces: [Status Quo Bias (a major culprit), ‘conflict’ avoidance, failure to recognise inefficiencies, unwillingness to merge teams and to slim down management structures, failure to recognise significant commonality in business functions.]

Resulting Context: [Overly complex management structures, inefficiency, under-utilised managers, risking additional Managerial Anti Patterns such as micromanagement.]

Solution(s): [Merging functions and redeployment, reducing organisational complexity, particularly where there are duplicate or near-duplicate functions. Setting performance based management targets to arrest any ‘pastoral care only’ management behaviours.]

This post uses the Anti Pattern template (with some modifications) from c2.com as its structural basis.

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Feb 152012
 
contemplate

Last week in Cardiff, First Minister Carwyn Jones welcomed the launch of ‘2025: The Future of Public Services in Wales’ at its Cardiff launch conference.

Professor Steve Martin, Director of the Centre for Local and Regional Government Research helped conceive and design the project, and Professor Ian Hargreaves, of Cardiff Business School and the School of Journalism Media & Cultural Studies, chaired the launch conference.

Speaking at this inaugural event, the First Minister, Carwyn Jones AM, welcomed the initiative, which will consider the implications of spending cuts and increasing demands from an ageing population for the kinds of public services that will be affordable by 2025.

The conference was attended by public service leaders from across Wales including senior civil servants, senior police officers, and chief executives from the health service, local government and voluntary sector. The second event is being held in St Asaph in April. [source: Cardiff Business School]

This is a very exciting initiative and one which requires innovative thinking not least due to:

  • Severe economic challenges
  • Shifting demographics (ageing population)
  • A drive towards online public services
  • Increasing demands on health care services, social services and education
  • Unemployment and social disparity
  • Sustainability and environmental protection

The purpose of the initiative is succinctly described in the 60-second video below from Megan Mathias.

60 Second Summary

60 second summary from Megan Mathias, Programme Director for Wales Public Services 2025.

The steering group comprises representatives from academia, business, third sector and a number of research institutes:

Wales Public Services 2025 Steering Group

  • Professor Ian Hargreaves. Professor of Digital Economy at Cardiff University.
  • Megan Mathias. Director of Kafka Brigade UK.
  • Michael Trickey. Wales Adviser for the Joseph Rowntree Foundation.
  • Professor Steve Martin. Professor of Public Policy and Management and Director of the Centre for Local & Regional Government Research at Cardiff Business School.
  • Dr. Martin Rhisiart. Director of the Centre for Research in Futures and Innovation at Glamorgan Business School.
  • Alison Ward CBE. Chief Executive of Torfaen County Borough Council, a Council member for the Prince’s Trust in Wales and a Governor of the University of Wales, Newport.
  • Professor Sir Adrian Webb. Chair of the Wales Employment & Skills Board and a member of Administrative Justice and Tribunals Council and Chair of Welsh Committee. A former Vice-Chancellor of the University of Glamorgan, he was a member of the Beecham Review of Local Service Delivery in Wales.
  • Helen Birtwhistle. Director of the Welsh NHS Confederation, as well as being a lay member of the Governing Body of the Church in Wales and a Board member for Young Enterprise Wales.
  • Jennifer Wallace. Policy Manager for the Carnegie UK Trust.
  • Ben Lucas. Director of the RSA’s 2020 Public Services Trust, having previously led a public affairs consultancy and been a government adviser.

A number of slide packs from the launch are available at the links below:

Slide downloads

Opportunities

As this initiative is incredibly fresh, there is a really exciting opportunity to engage and contribute to the debate and to help shape Public Services provision in Wales in the next decade(s). A few areas where I think this could be especially interesting:

  1. Online Public Services adoption
  2. Smart Cities
  3. Smart Clusters (developing innovation clusters and high-tech industry in Wales)
  4. Smart Health Care
  5. Smart Shopping
  6. Context Aware Computing and related services
  7. Alternative service provision models (such as outcome based contracting)
  8. Sustainability research.

As a long-time Fellow of the RSA and advocate of RSA 2020 PST, I am delighted to see Ben Lucas contributing to the Wales 2025 steering committee.

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Feb 062012
 

Beware the Cookie Licker

cookie

A greedy sibling has gorged themselves on cookies, you have designs on the last one. Anticipating your move, they lift and lick it, claiming it, but with neither appetite or need. The manner of its claim renders ‘ownership absolute’. The cookie goes uneaten.

Anti Pattern Name [Cookie Licking.]

Type: [Behavioural.]

Problem: [Cookie Lickers grab tasks they might want to do, but don’t have time to do, the ability or experience to do, or actively wish to prevent others from doing. This can be deliberate or accidental. Either way, what they have claimed isn’t undertaken by others and therefore not implemented. Individuals, teams and competitors are all potential Cookie Lickers.]

Context: [Planning, task distribution, work-share.]

Forces: [Enthusiasm for a task, but zero probability of being able to deliver it. Protectionism and empire building are behavioural problems which lead to Cookie Licking. Squabbling competitors will Cookie Lick, just as rival siblings.]

Resulting Context: [Task claimed but never undertaken.]

Solution(s): [Collaboration, rigour in planning and work-distribution, careful workload management, time-boxed ownership (i.e. deliver or relinquish), consequences for failure.]

This post uses the Anti Pattern template (with some modifications) from c2.com as its structural basis.

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Jan 302012
 
organisationsdonttweet

Practical advice for managers on how the Web and social media can help them to do their jobs better

[source: Amazon]

I first heard Euan Semple speak about Social Media at a BCS (British Computer Society) ELITE event at BT Tower (in London) back in 2008. What differentiated him from others writing and speaking about the subject?

  • Experience: he has a very credible background in collaboration and communications, formerly at the BBC and latterly as an ‘independent consultant’ with blue chips and niche players.
  • Hype realism: a recognition of the need to drive real value from social media, delivering business outcomes, not ‘digital noise’.
  • Adoption complexity: it takes ‘10 seconds’ to sign up on Twitter, and less again to start using it in an ineffective and potentially damaging way. Forces such as consumerisation and social web have created mind shifts in business. Euan sets out simple, effective, engaging and sensible advice which will inform CxOs, marketers and communications professionals alike.

If you have an interest in the social web and optimisation of communications using social media, this book is a must buy.

Further Info

[source: Amazon]

Today′s managers are faced with an increasing use of the Web and social platforms by their staff, their customers, and their competitors, but most aren′t sure quite what to do about it or how it all relates to them. Organizations Don′t Tweet, People Do provides managers in all sorts of organizations, from governments to multinationals, with practical advice, insight and inspiration on how the Web and social tools can help them to do their jobs better. From strategy to corporate communication, team building to customer relations, this uniquely people–centric guide to social media in the workplace offers managers, at all levels, valuable insights into the networked world as it applies to their challenges as managers, and it outlines practical things they can do to make social media integral to the tone and tenor of their departments or organizational cultures.

    • A long–overdue guide to social media that talks directly to people in the real world in which they work
    • Grounded in the author′s unparalleled experience consulting on social media, it features eye–opening accounts from some of the world′s most successful and powerful organizations
    • Gives managers at all levels and in every type of organization the context and the confidence to make better decisions about the social web and its impact on them

Euan Semple is one of the few people in the world who can turn the complex world of the social web into something we can all understand. And, at the same time, learn how to get the most from it.

Ten years ago, while working in a senior position at the BBC, Euan was one of the first to introduce what have since become known as social media tools into a large, successful organisation. He has subsequently had five years of unparalleled experience working with organisations such as Nokia, The World Bank and NATO.

He is a one-man digital upgrade option for us all to download.

This world is changing fast, but he makes sense of it because he understands that the core basics remain the same: community, learning, and interaction. He is a master story-teller who offers a host of practical tales about how this new world can work for real people in the real world.

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Jan 262012
 

The Anchoring or Focalism Effect on Estimation

thinking

I was working on a project a little while back which had very little in the way of defined non-functional requirements. I was particularly interested in transaction volumes, scalability, predicted growth and how this impacted environment sizing, and number of environments required. ‘As is’ volumes were ‘somewhat known’, but detailed understanding of what was counted, when, what might be discounted and how this related to an agreed set of terminology was imperfect.

Estimates were discussed in technically led meetings and business led meetings. A number of estimates were also produced ‘independently’. The estimate variation was stark, particularly when taken across the three primary groups. The technologists clustered around a certain number, the business stakeholders around a different one and the ‘independent estimators’ were very much ‘left-field’ (or right-field). Estimation is not exact by definition, but the distribution was interesting and the ‘anomaly’ led me to consider the role of cognitive bias. Could it be ‘anchoring’ (aka Focalism)?

During normal decision-making, anchoring occurs when individuals overly rely on a specific piece of information to govern their thought-process. Once the anchor is set, there is a bias toward adjusting or interpreting other information to reflect the “anchored” information. Through this cognitive bias, the first information learned about a subject (or, more generally, information learned at an early age) can affect future decision-making and information analysis. [source: Wikipedia – Anchoring]

The estimate becomes anchored when the product owner says something like, “I think this is an easy job, I can’t see it taking longer than a couple of weeks”, or when the developer says something like, “I think we need to be very careful, clearing up the issues we’ve had in the back end could take months”. Whoever starts the estimating conversation with, “I think it’s 50 days” immediately has an impact on the thinking of the other team members; their estimates have been anchored, i.e. they are all now likely to make at least a subconscious reference to the number 50 in their own estimates. Those who were thinking 100 days are likely to reduce and those who thought 10 are likely to raise. This becomes a particular problem if the 50 is spoken by an influential member of the team when the rest of the team are predominantly thinking higher or lower. Because the remainder of the team have been anchored they may consciously or otherwise fail to express their original unity; in fact they may fail to even discover that they were thinking the same thing. This can be dangerous, resulting in estimates that are influenced by agendas or individual opinions that are not focussed on getting the job done right. [source: Wikipedia – Planning Poker]

Anchoring is a widely used technique. For example, suggesting you make a donation of £10, £20 or £50 to a cause, anchors your perception about what is suitable differently than if the request was for £100, £500 or £1,000. A sweeping generalisation would be to assume your thinking was anchored somewhere in the middle of each, say £20 or perhaps £500.

Parkinson’s Law states that:

Work expands so as to fill the time available for its completion.

Is it not truer to say “estimates of the amount of time taken to complete the work become anchored by influential stakeholders and hard deadlines?”

An interesting antidote to this bias could be the use of the Planning Poker method described in Mike Cohn’s book “Agile Estimating and Planning”, which seeks to neutralise anchoring.

Planning Poker

Source: Amazon

The Anti Pattern Codified

Anti Pattern Name [The Anchoring or Focalism Effect.]

Type: [Estimation.]

Problem: [Estimates become skewed by the anchoring effect, which can be (accidentally or otherwise) created by influential stakeholders and hard deadlines.]

Context: [Estimation of timescales (analysis, development, testing, management), non-functional requirements (volumetric growth, scalability, number and size of environments).]

Forces: [Past experience, team dynamics, influential stakeholders.]

Resulting Context: [Inaccurate estimate skewed by bias and a tendency to ‘anchor’ on values that fit with hard deadlines, rather than reality.]

Solution(s): [Planning Poker, Multiple estimating techniques applied to same problem (analogy based sizing, function point counting, bottom up estimates etc.).]

This post uses the Anti Pattern template (with some modifications) from c2.com as its structural basis.

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