Government and politics Strategy

How do we embed digital transformation in government?

Matthew Cain – Medium

There are increasing numbers of government services which are digital. But that doesn’t make for a digital government. This post is a challenge to set a greater ambition, to make government itself digitally transformed. As a manifesto or a call to arms, there’s a lot here: a government with the characteristics envisaged here would be a better government. But in general, the problem with transforming government has not been with describing how government might work better, but with navigating the route to get there – and that makes the question in the title critically important. Ultimately though, the digital bit may be a critical catalyst but is not the goal – and we need to be clear both about the nature of that goal and about the fact that digital is a means of transforming; not that transforming is a means to be digital. This post describes powerful tools for realising an ambition for better government – but they will have effect only if both ambition and opportunity are there to use them. On that, it’s well worth reading this alongside Matthew’s own post earlier this year commenting on the government’s digital strategy.

One Team Government Service design

Government Services Look Radically Different in the Customer’s Eyes

Peter Jackson – IDEO Stories

Not so many years ago, this would have been a very radical post. It is a measure of progress that the core message – services should be designed with an understanding of customers – now seems obvious. But it’s still well worth reading both for the overall clarity with which the case is made, and for some neat turns of phrase. Governments tend to start with a policy which may eventually be expressed as a service; customers experience a service and will discern dimly – if at all – the policy which ultimately drives it. And those two things are not only different in themselves, they can also have different cycle times: ‘just because a major new policy only comes around once in a lifetime, doesn’t mean you only have one chance to implement it.’

Data and AI Future of work

Why the robot boost is yet to arrive

Tim Harford – the Undercover Economist

One of the problems with predicting the future is working out when it’s going to happen. That’s not quite as silly as it sounds: there is an easy assumption that the impact of change follows closely on the change itself, but that assumption is often wrong. That in turn can lead to the equally wrong assumption that because there has been limited impact in the short term, the impact will be equally limited in the long term. As Robert Solow famously put it in 1987, ‘You can see the computer age everywhere but in the productivity statistics.’ In this post, Tim Harford updates the thought from computers to robots. The robot takeover isn’t obviously consistent with high employment and low productivity growth, but that is what we can currently observe. The conclusion – and the resolution of the paradox is disarmingly simple, if rather frustrating: wait and see.

Data and AI Future of work

Don’t believe the hype: work, robots, history

Michael Weatherburn – Resolution Foundation

This post introduces a longer paper which takes the idea of understanding the future by reflecting on the past to a new level. The central argument is that digital technologies have been influencing and shaping the industry sectors it examines for a long time, and that that experience strongly suggests that the more dramatic current forecasts about the impact of technology on work are overblown.

The paper’s strengths come from its historical perspective – and, unusually for this topic, from being written by a historian. It is very good on the underlying trends driving changing patterns of work and service delivery and distinguishing them from the visible emanations of them in web services. It does though sweep a lot of things together under the general heading of ‘the internet’ in a way which doesn’t always add to understanding – the transformation of global logistics driven by ERP systems is very different from the creation of the gig economy in both cause and effect.

The paper is less good in providing strong enough support for its main conclusion to justifying making it the report’s title. It is true that the impacts of previous technology-driven disruptions have been slower and less dramatic to manifest themselves than contemporary hype expected. But the fact that hype is premature does not indicate that the underlying change is insubstantial – the railway mania of the 1840s was not a sign that the impact of railways had peaked. It is also worth considering seriously whether this time it’s different – not because it necessarily is, but because the fact that it hasn’t been in the past is a reason to be cautious, not a reason to be dismissive.