David Eaves and Ben McGuire – Governing
Governments should move slowly and try not to break things. That’s a suggestion slightly contrary to the fashionable wisdom in some quarters, but has some solid reasoning behind it. There are good reasons for governments not to be leading edge adopters – government services should work; innovation is not normally a necessary counter to existential threats; service users are not able to trade stability for excitement.
That’s not an argument against innovation, but it is an argument for setting pace and risk appropriately. As a result, this post argues, the skills government needs are less to do cutting edge novelty, and much more to do with identifying and adopting innovations from elsewhere.
Abbe Marks – NZ Digital government
The idea that it should be possible to capture legislative rules as code and that good things might result from doing so is not a new one. It sounds as though it should be simple: the re-expression of what has already been captured in one structured language in another. It turns out though not to be at all simple, partly because of what John Sheridan calls the intertwingling of law: the idea that law often takes effect through reference and amendment and that the precise effect of its doing so can be hard to discern.
There is interesting work going on in New Zealand experimenting with the idea of law and code in some limited domains, and this post is prompted by that work. What makes it distinctive is that it is written from a policy perspective, asking questions such as whether the discipline of producing machine consumable rules is a route to better policy development. It’s still unclear how far this approach might take us – but the developments in New Zealand are definitely worth keeping an eye on.
Hana Schank – Co.Design
Innovation is perhaps second only to transformation as a word to convey excitement and derring do to the messy business of getting things done in organisations – a view promoted not least by people whose derring may be rather stronger than their do.
The assumption that disruption and iconoclasm are the best – or even only – way of making significant and sustained change happen is a curiously pervasive one. The problem with it is not that it’s always wrong, but that there is good reason to think that it’s not always right. As this post argues, sometimes deep experience can be just as powerful, in part because intractable problems often respond better to sustained incremental efforts than to a single transformational solution.
This article suffers a little from a rather patronising view of government, and some of the examples used tend to the trivial. But the underlying point remains a good one: people who understand and care about the problem may be the people best placed to solve it – if they are given the licence to do so.
James Plunckett – Citizens Advice
The word ‘digital’ has long been both powerful and problematic. It’s powerful because new technologies and, in some ways even more so, new ways of developing and applying new technologies have made many things better, faster, cheaper – and often very different. And as Tom Loosemore, perhaps the leading proponent of using ‘digital’ in a sense which transcends a narrow, technical meaning puts it:
But it’s also problematic, because it stretches the meaning of ‘digital’ so far as to drain it of content. It has become a vague word, implying modernity and goodness and not much more. More seriously, it puts the emphasis in the wrong place: digital is a means, not an end, and there is always a risk that in focusing too much on means, we lose sight of the ends.
That’s not to say that ‘digital’ has not been a useful word. In many ways it has been. It’s more to say that the time has come – and is arguably long past – when we should move beyond it. That makes this post a really interesting sign of what may be to come: Citizens Advice has chosen to replace its Chief Digital Officer with a Director of Customer Journey, and its reasons for doing so are well worth reading.
Sometimes a simple tweet says all there is to say. Though in this case it’s well worth reading the replies as well.
Beyond even the bonus points for talking about laws being ‘intertwingled’, this is an important and interesting post at the intersection of law, policy and automation. It neatly illustrates why the goal of machine-interpretable legislation,such as the recent work by the New Zealand government, is a much harder challenge than it first appears – law can have tacit external interpretation rules, which means that the highly structured interpretation which is normal, and indeed necessary, for software just doesn’t work. Which is why legal systems have judges and programming languages generally don’t – and why the New Zealand project is so interesting.
Nadia Webster – NZ Digital Government
The rather dry title of this post belies the importance and interest of its content. Lots of people have spotted that laws are systems of rules, computer code is systems of rules and that somehow these two fact should illuminate each other. Quite how that should happen is much less clear. Ideas have ranged from developing systems to turn law into code to adapting software testing tools to check legislative compliance. This post records an experiment with a different approach again, exploring the possibility of creating legislative rules in a way which is designed to make them machine consumable. That’s an approach with some really interesting possibilities, but also some very deep challenges. As John Sheridan has put it, law is deeply intertwingled: the meaning of legislation is only partly conveyed by the words of a specific measure, which means that transcoding the literal letter of the law will never be enough. And beyond that again, the process of delivering and experiencing a service based on a particular set of legal rules will include a whole set of rules and norms which are not themselves captured in law.
That makes it sensible to start, as the work by the New Zealand government reported here has done, with exploratory thinking, rather than jumping too quickly to assumptions about the best approach. The recommendations for areas to investigate further set out in their full report are an excellent set of questions, which will be of interest to governments round the world.
This is a good post on the very practical difficulties in establishing secure digital identity, in this case for the purpose of voting in elections. It’s included here mainly as a timely but inadvertent illustration of the point in the previous post that even technology fixes are harder than they look. Implementing some form of online voting wouldn’t be too difficult; implementing a secure and trustworthy electoral system would be very hard indeed.
Chris Yiu and Harvey Redgrave – Institute for Global Change
Digital identity (like digital voting) sounds as though it ought to be a problem with a reasonably straightforward solution, but which looks a lot more complicated when it comes to actually doing it. Like everything with the word ‘digital’ attached to it, that’s partly a problem of technical implementation. But also like everything with the word ‘digital’ attached to it, particularly in the public and political space, it’s a problem with many social aspects too.
This post makes a brave attempt at offering a solution to some of the technical challenges. But the reason why the introduction of identity cards has been highly politically contentious in the UK, but not in other countries, has a lot to do with history and politics and very little to do with technology. So better technology may indeed to be better, but that doesn’t in itself constitute a new approach to identity. Even if the better technology is in fact better (and as Paul Clarke spotted, ‘attestation’ is doing a lot more work as a word than it first appears), there are some much wider issues (some flagged by Peter Wells) which would also need to be addressed as part of an overall approach.
Dave Snowden – Cognitive Edge
This is close to the beginning of what is billed as series of indefinite length on agility and Agility, which we are promised will at times be polemical and curmudgeonly, and are tangentially illustrated with references to Alice (the one in Wonderland, not the cryptographic exemplar). The first post in the series set some context; this second one focuses on the question of whether short-cycle software production techniques translate to business strategy. In particular, the argument is that scrum-based approaches to agile work best when the problem space is reasonably well understood and that this will be the case to different extents and different stages of an overall development cycle.
Dave Snowden is best known as the originator of the Cynefin framework, which is probably enough to guarantee that this series will be thought provoking. He positions scrum approaches within the Cynefin complex domain and as a powerful approach – but not the only or uniquely appropriate one. It will be well worth watching his arguments develop.
Another good provocation from Paul Taylor, arguing this time that solitary thinking is a better source of creative breakthroughs than collaborative activities. It’s not all or nothing – there is a useful distinction drawn between problems where collaboration is valuable (complex, strategic, needing engagement) and those where it isn’t (deep, radical, disruptive, urgent).
But almost more important than that is the observation that few organisations actually value purposeful thinking in the first place – or at least, they don’t create the conditions in which such thinking can readily take place.
Bas Leurs – NESTA
If you had to write down a list of innovation methods and techniques, how many could you come up with? However long your list, it’s a fair bit that it won’t have as much on it as this landscape of innovation approaches (also available as a more legible PDF to cut out and keep).
Methods are grouped into four overlapping ‘spaces’. There’s room for debate about what best fits where and there is a broad range from mainstream to eclectic – but that in itself is a good start in challenging assumptions about methods which appear natural and obvious and indeed about the kind of innovation being sought.
How many design innovation toolkits are there? The answer seems to be that there are more than you might think possible. Over a hundred are brought together on this page, which makes it an extraordinarily rich collection. There are lots of interesting-looking things here, some well known, others more obscure – though it’s hard not to come away with the thought that the world’s need for innovation toolkits has now over abundantly been met.
The bigger the underlying change, the bigger the second (and higher) order effects. Those effects often get overlooked in looking at the impact of change (and in trying to understand why expected impacts haven’t happened). Benedict Evans has always been good at spotting and exploring the more distant consequences of technology-driven change, for example in his recent piece on ten-year futures. ‘Cascading collapse’ is a good way of putting it: if the long-heralded but slow to materialise collapse of physical retail is beginning to appear, what consequences flow from that?
Today HMRC announced that 92.5% of this year’s tax returns were submitted online. That too has been a slow but inexorable growth, taking twenty years to go from expensive sideshow to near complete dominance. There is more to do to reflect on the cascading collapses that that and other changes will wreak not just on government, but through government to society and the economy more widely.
Interesting ideas on how to think about the future seem to come in clumps. So alongside Ben Hammersley’s reflections, it’s well worth watching and listening to this presentation of a ten year view of emerging technologies and their implications. The approaches of the two talks are very different, but interestingly, they share the simple but powerful technique of looking backwards as a good way of understanding what we might be seeing when we look forwards.
They also both talk about the multiplier effect of innovation: the power of steam engines is not that they replace one horse, it is that each one replaces many horses, and in doing so makes it possible do things which would be impossible for any number of horses. In the same way, machine learning is a substitute for human learning, but operating at a scale and pace which any number of humans could not imitate.
This one is particularly good at distinguishing between the maturity of the technology and the maturity of the use and impact of the technology. Machine learning, and especially the way it allows computers to ‘see’ as well as to ‘learn’ and ‘count’, is well along a technology development S-curve, but at a much earlier point of the very different technology deployment S-curve, and the same broad pattern applies to other emerging technologies.
There are some who argue that the only test of progress is delivery and that the only thing which can be iterated is a live service. That is a horribly misguided approach. There is no point in producing a good answer to a bad question, and lots to be gained from investing time and energy in understanding the question before attempting to answer it. Even for pretty simple problems, badly formed initial questions can generate an endless – and expensive – chain of solutions which would never have needed to exist if that first question had been a better one. Characteristically, Paul Taylor asks some better questions about asking better questions.
Adam Greenfield – Longreads
Sometimes the best way of thinking about something completely familiar is to treat it as wholly alien. If you had to explain a smartphone to somebody recently arrived from the 1990s, how would you describe what it is and, even more importantly, what it does?
In a way, that’s what this article is doing, painstakingly describing both the very familiar, and the aspects of its circumstances we prefer not to know – cheap phones have a high human and environmental price. An arresting starting point is to consider what people routinely carried around with them in 2005, and how much of that is now subsumed in a single ubiquitous device.
That’s fascinating in its own right, but it’s also an essential perspective for any kind of strategic thinking about government (or any other) services, for reasons pithily explained by Benedict Evans:
Smartphones are technological marvels. But they are also powerful instruments of sociological change. Understanding them as both is fundamental to understanding them at all.
Chris Yiu – Institute for Global Change
This wide ranging and fast moving report hits the Strategic Reading jackpot. It provides a bravura tour of more of the topics covered here than is plausible in a single document, ticking almost every category box along the way. It moves at considerable speed, but without sacrificing coherence or clarity. That sets the context for a set of radical recommendations to government, based on the premise established at the outset that incremental change is a route to mediocrity, that ‘status quo plus’ is a grave mistake.
Not many people could pull that off with such aplomb. The pace and fluency sweep the reader along through the recommendations, which range from the almost obvious to the distinctly unexpected. There is a debate to be had about whether they are the best (or the right) ways forward, but it’s a debate well worth having, for which this is an excellent provocation.
Martin Stewart-Weeks – Public Purpose
This is an artful piece – the first impression is of a slightly unstructured stream of consciousness, but underneath the beguilingly casual style, some great insights are pulled out, as if effortlessly. Halfway down, we are promised ‘three big ideas’, and the fulfilment does not disappoint. The one which struck home most strongly is that we design institutions not to change (or, going further still, the purpose of institutions is not to change). There is value in that – stability and persistence bring real benefits – but it’s then less surprising that those same institutions struggle to adapt to rapidly changing environments. A hint of an answer comes with the next idea: if everything is the product of a design choice, albeit sometimes an unspoken and unacknowledged one, then it is within the power of designers to make things differently.
Chris Dillow – Stumbling and Mumbling
The problem with good policies, badly implemented is not primarily the bad implementation, it is that the bad implementation strongly suggests they weren’t good policies to start with. That’s the proposition advanced by this post, (and one interesting to read in parallel with The Blunders of our Government).
There are few examples of good but badly implemented policies because, in this approach, policy making is not – or not just – the grand sweep of a speech, but is the grinding detail of working through real world implications. Failure of implementation is therefore a strong indicator of a bad policy – akin, perhaps, to the idea that if you can’t explain a complicated thing simply, you probably don’t understand it.