More professionalism, less populism: How voting makes us stupid, and what to do about it


Paper by Benjamin Wittes and Jonathan Rauch: “For several generations, political reform and rhetoric have been entirely one-directional: always more direct democracy, never less. The general belief holds that more public involvement will produce more representative and thus more effective and legitimate governance. But does increasing popular involvement in politics remedy the ills of our government culture; is it the chicken soup of political reforms?

In a new report, “More professionalism, less populism: How voting makes us stupid, and what to do about it,” Brookings Senior Fellows Jonathan Rauch and Benjamin Wittes argue that the best way forward is to rebalance the reform agenda away from direct participation and toward intermediation and institutions. As the authors write, “Neither theory nor practice supports the idea that more participation will produce better policy outcomes, or will improve the public’s approbation of government, or is even attainable in an environment dominated by extreme partisans and narrow interest groups.”

Populism cannot solve our problems, Rauch and Wittes claim, because its core premises and reforms are self-defeating. Research has shown that voters are “irrationally biased and rationally ignorant,” and do not possess the specialized knowledge necessary to make complex policy judgments. Further, elections provide little by way of substantive guidance for policymakers and, even on its own terms, direct democracy is often unrepresentative. In the words of the authors, “By itself, building more direct input from the public into the functions of government is likely to lead to more fragmentation, more stalemate, more flawed policies—and, paradoxically, less effective representation.”

The authors are not advocating complacency about voter participation, much less for restricting or limiting voting: “We are arguing that participation is not enough, and that overinvesting in it neglects other, more promising paths.”

To truly repair American democracy, Rauch and Wittes endorse a resurgence of political institutions, such as political parties, and substantive professionals, such as career politicians and experts. Drawing on examples like the intelligence oversight community, the authors assert that these intermediaries actually make democracy more inclusive and more representative than direct participation can do by itself. “In complex policy spaces,” the authors write, “properly designed intermediary institutions can act more decisively and responsively on behalf of the public than an army of ‘the people’ could do on its own behalf, [and are] less likely to be paralyzed by factional disputes and distorted by special-interest manipulation.”…(More) (Read the full paper here).

Data Journalism: How Not To Be Wrong


Winny de Jong: “At the intersection of data and journalism, lots can go wrong. Merely taking precautions might not be enough….

Half True Is False

But this approach is not totally foolproof.

“In data journalism, we cannot settle for ‘half-true.’ Anything short of true is wrong – and we cannot afford to be wrong.” Unlike fact-checking websites such as Politifact, which invented ‘scales’ for truthfulness, from false to true and everything in between, data journalism should always be true.

No Pants on Fire: Politifact’s Truth-O-Meter.

True but Wrong

But even when your story is true, Gebeloff said you still could still be wrong. “You can do the math correctly, but get the context wrong, fail to acknowledge uncertainties or not describe your findings correctly.”

Fancy Math

When working on a story, journalists should consider whether they use “fancy math” – think statistics – or “standard math.” “Using fancy math you can explore complex relationships, but at the same time your story will be harder to explain.”…

Targets as a Source

…To make sure you’re not going to be wrong, you should share your findings. “Don’t just share findings with experts, share them with hostile experts too,” Gebeloff advises. “Use your targets as a source. If there’s a blowback, you want to know before publication – and include the blowback in the publication.”

How Not To Be Wrong Checklist

Here’s why you want to use this checklist, which is based on Gebeloff’s presentation: a half truth is false, and data journalism should always be true. But just being true is not enough. Your story can be mathematically true but wrong in context or explanation. You should want your stories to be true and not wrong.

  1. Check your data carefully:
    •  Pay attention to dates.
    •  Check for spelling and duplicates.
    •  Identify outliers.
    •  Statistical significance alone is not news.
    •  Prevent base year abuse: if something is a trend, it should be true in general not just if you cherrypick a base year.
    •  Make sure your data represents reality.
  2. As you work, keep a data diary that records what you’ve done and how you’ve done it. You should be able to reproduce your calculations.
  3. Make sure you explain the methods you used – your audience should be able to understand how you find a story.
  4. Play offense and defense simultaneously. Go for the maximum possible story, but at all times think of why you might be wrong, or what your target would say in response.
  5. Use your targets as a source to find blowbacks before publication.
  6. As part of the proofing process, create a footnotes file. Identify each fact and give it a number. Then, for each fact, list which document it came from, how you know it and the proof. Fix what needs to be fixed.

Additional links of interest: the slides of Robert Gebeloff’s how not to be wrong presentation, and the methodology notes and data from the “Race Behind Bars” series….(More)”

Digital Service Teams: Challenges and Recommendations for Government


Report by Ines Mergel: “The British government successfully pioneered the use of a national, semi-independent “surge team” to tackle large-scale technology-driven challenges facing it. The U.S. federal government adapted this approach to improve the success of its own operations in 2014, titling its top-level team as the “U.S. Digital Service.”  It then created a small internal software development and service organization, dubbed “18F,” to support both USDS and individual agencies.  And individual agencies are creating their own internal digital service teams, as well.

Dr. Mergel interviews leaders and users of digital service teams in the US and internationally to learn how they operate, and the challenges they faced in creating a private sector-like “start up” culture within government to foster innovation and top-level tech talent.  Her report identifies six challenges, and offers recommendations on actions that both digital service leaders and policy makers can take to ensure the sustainability and scaling of this novel approach in government….(More)”.

Routledge Handbook on Information Technology in Government


Book edited by Yu-Che Chen and Michael J. Ahn: “The explosive growth in information technology has ushered in unparalleled new opportunities for advancing public service. Featuring 24 chapters from foremost experts in the field of digital government, this Handbook provides an authoritative survey of key emerging technologies, their current state of development and use in government, and insightful discussions on how they are reshaping and influencing the future of public administration. This Handbook explores:

  • Key emerging technologies (i.e., big data, social media, Internet of Things (IOT), GIS, smart phones & mobile technologies) and their impacts on public administration
  • The impacts of the new technologies on the relationships between citizens and their governments with the focus on collaborative governance
  • Key theories of IT innovations in government on the interplay between technological innovations and public administration
  • The relationship between technology and democratic accountability and the various ways of harnessing the new technologies to advance public value
  • Key strategies and conditions for fostering success in leveraging technological innovations for public service

This Handbook will prove to be an invaluable guide and resource for students, scholars and practitioners interested in this growing field of technological innovations in government….(More)”.

The People’s Verdict: Adding Informed Citizen Voices to Public Decision-Making


Book by Claudia Chwalisz:  “In a post-Brexit world with populists on the rise, trust in government and politicians is in short supply. People claim to be tired of ‘experts’ and the divide between facts and opinion has been blurred. The art of offering simple solutions to complex problems is tipping the scale away from nuanced, multifaceted answers founded on compromise.

Within this context, governments nonetheless need to make difficult decisions, whether it is developing budgets, aligning priorities, or designing long-term projects. It is often impossible to make everybody happy, and the messy business of weighing trade-offs takes place.

While sometimes these tricky policy dilemmas are relegated to independent commissions or inquiries, or lately to referendums, a better method exists for solving them. This study of almost 50 long-form deliberative processes in Canada and Australia makes the case that adding informed citizen voices to public decision-making leads to more effective policies. By putting the problem to the people, giving them information, time to discuss the options, to find common ground and to decide what they want, public bodies gain the legitimacy to act on hard choices…(More)”

Permanent Campaigning in Canada


Book by Alex MarlandThierry Giasson and Anna Lennox Esselment:  “Election campaigning never stops. That is the new reality of politics and government in Canada, where everyone from staffers in the Prime Minister’s Office to backbench MPs practise political marketing and communication as though the official campaign were still underway.

Permanent Campaigning in Canada examines the growth and democratic implications of political parties’ relentless search for votes and popularity and what a constant state of electioneering means for governance. With the emergence of fixed-date elections and digital media, each day is a battle to win mini-contests: the news cycle, public opinion polls, quarterly fundraising results, by-elections, and more. The contributors’ case studies – on political databases, the strategy behind online political communication, the politicization of government advertising, and the role of the PMO and political staff – reveal how political actors are using all available tools at their disposal to secure electoral advantage, including the use of public resources for partisan gain.

This is the first study of a phenomenon that has become embedded in Canadian politics and government. It reveals the extent to which political parties and political staff have embraced non-stop electioneering, and the consequences for our democratic processes and institutions….(More)”

Could Big Data Help End Hunger in Africa?


Lenny Ruvaga at VOA News: “Computer algorithms power much of modern life from our Facebook feeds to international stock exchanges. Could they help end malnutrition and hunger in Africa? The International Center for Tropical Agriculture thinks so.

The International Center for Tropical Agriculture has spent the past four years developing the Nutrition Early Warning System, or NEWS.

The goal is to catch the subtle signs of a hunger crisis brewing in Africa as much as a year in advance.

CIAT says the system uses machine learning. As more information is fed into the system, the algorithms will get better at identifying patterns and trends. The system will get smarter.

Information Technology expert Andy Jarvis leads the project.

“The cutting edge side of this is really about bringing in streams of information from multiple sources and making sense of it. … But it is a huge volume of information and what it does, the novelty then, is making sense of that using things like artificial intelligence, machine learning, and condensing it into simple messages,” he said.

Other nutrition surveillance systems exist, like FEWSnet, the Famine Early Warning System Network which was created in the mid-1980s.

But CIAT says NEWS will be able to draw insights from a massive amount of diverse data enabling it to identify hunger risks faster than traditional methods.

“What is different about NEWS is that it pays attention to malnutrition, not just drought or famine, but the nutrition outcome that really matters, malnutrition especially in women and children. For the first time, we are saying these are the options way ahead of time. That gives policy makers an opportunity to really do what they intend to do which is make the lives of women and children better in Africa,” said Dr. Mercy Lung’aho, a CIAT nutrition expert.

While food emergencies like famine and drought grab headlines, the International Center for Tropical Agriculture says chronic malnutrition affects one in four people in Africa, taking a serious toll on economic growth and leaving them especially vulnerable in times of crisis….(More)”.

Digital footprint helps refugees get a bank account


Springwise: “An innovative banking solution from Taqanu uses customers’ digital history to allow them to prove their identity rather than traditional paperwork. The application, which will be globally available once it launches, means those that find it difficult to gain access to the necessary paperwork to do things like set up a bank account or rent accommodation, may now be able to using their mobile phones.

Earlier this year Taqanu was presented and discussed at the G20 High Level Forum for Forcibly Displaced Persons(FDPs), an event leading up to the Final G20 meeting in July 2017. The event brought together a diverse range of stakeholders including financial regulators and policymakers. The new banking solution faces huge regulation obstacles, but if approved it would be a big breakthrough in places like Germany, where you are required to have a bank account in order to take out any type of tenancy agreement.

It could be a major turning point for disenfranchised communities and refugees who often flea their homes with nothing, and are then faced with obstacles in settling in a new country. Taqanu’s founder Balázs Némethi, drew from his own experiences attempting to apply for bank accounts in foreign countries and wanted to make the process easier for people likely to have limited access to documentation.

The app has already attracted attention from some major players in the tech world, including Microsoft who are particularly interested in the company’s humanitarian values. It joins a whole host of other digital solutions including the mobile banking app which helps low-income migrant workers in the Middle East and the Dutch business incubator helping refugees to integrate through educational and entrepreneurial activities…(More)”

The Way Ahead


Transcript of lecture delivered by Stephen Fry on the 28th May  2017 • Hay Festival, Hay-on-Wye: “Peter Florence, the supremo of this great literary festival, asked me some months ago if I might, as part of Hay’s celebration of the five hundredth anniversary of Martin Luther’s kickstarting of the reformation, suggest a reform of the internet…

You will be relieved to know, that unlike Martin Luther, I do not have a full 95 theses to nail to the door, or in Hay’s case, to the tent flap. It might be worth reminding ourselves perhaps, however, of the great excitements of the early 16th century. I do not think it is a coincidence that Luther grew up as one of the very first generation to have access to printed books, much as some of you may have children who were the first to grow up with access to e-books, to iPads and to the internet….

The next big step for AI is the inevitable achievement of Artificial General Intelligence, or AGI, sometimes called ‘full artificial intelligence’ the point at which machines really do think like humans. In 2013, hundreds of experts were asked when they thought AGI may arise and the median prediction was they year 2040. After that the probability, most would say certain, is artificial super-intelligence and the possibility of reaching what is called the Technological Singularity – what computer pioneer John van Neumann described as the point “…beyond which humans affairs, as we know them, could not continue.” I don’t think I have to worry about that. Plenty of you in this tent have cause to, and your children beyond question will certainly know all about it. Unless of course the climate causes such havoc that we reach a Meteorological Singularity. Or the nuclear codes are penetrated by a self-teaching algorithm whose only purpose is to find a way to launch…

It’s clear that, while it is hard to calculate the cascade upon cascade of new developments and their positive effects, we already know the dire consequences and frightening scenarios that threaten to engulf us. We know them because science fiction writers and dystopians in all media have got there before us and laid the nightmare visions out. Their imaginations have seen it all coming. So whether you believe Ray Bradbury, George Orwell, Aldous Huxley, Isaac Asimov, Margaret Atwood, Ridley Scott, Anthony Burgess, H. G. Wells, Stanley Kubrick, Kazuo Ishiguro, Philip K. Dick, William Gibson, John Wyndham, James Cameron, the Wachowski’s or the scores and scores of other authors and film-makers who have painted scenarios of chaos and doom, you can certainly believe that a great transformation of human society is under way, greater than Gutenberg’s revolution – greater I would submit than the Industrial Revolution (though clearly dependent on it) – the greatest change to our ways of living since we moved from hunting and gathering to settling down in farms, villages and seaports and started to trade and form civilisations. Whether it will alter the behaviour, cognition and identity of the individual in the same way it is certain to alter the behaviour, cognition and identity of the group, well that is a hard question to answer.

But believe me when I say that it is happening. To be frank it has happened. The unimaginably colossal sums of money that have flowed to the first two generations of Silicon Valley pioneers have filled their coffers, their war chests, and they are all investing in autonomous cars, biotech, the IoT, robotics Artificial Intelligence and their convergence. None more so than the outlier, the front-runner Mr Elon Musk whose neural link system is well worth your reading about online on the great waitbutwhy.com website. Its author Tim Urban is a paid consultant of Elon Musk’s so he has the advantage of knowing what he is writing about but the potential disadvantage of being parti pri and lacking in objectivity. Elon Musk made enough money from his part in the founding and running of PayPal to fund his manifold exploits. The Neuralink project joins his Tesla automobile company and subsidiary battery and solar power businesses, his Space X reusable spacecraft group, his OpenAI initiative and Hyperloop transport system. The 1950s and 60s Space Race was funded by sovereign governments, this race is funded by private equity, by the original investors in Google, Apple, Facebook and so on. Nation states and their agencies are not major players in this game, least of all poor old Britain. Even if our politicians were across this issue, and they absolutely are not, our votes would still be an irrelevance….

So one thesis I would have to nail up to the tent is to clamour for government to bring all this deeper into schools and colleges. The subject of the next technological wave, I mean, not pornography and prostitution. Get people working at the leading edge of AI and robotics to come into the classrooms. But more importantly listen to them – even if what they say is unpalatable, our masters must have the intellectual courage and honesty to say if they don’t understand and ask for repetition and clarification. This time, in other words, we mustn’t let the wave engulf us, we must ride its crest. It’s not quite too late to re-gear governmental and educational planning and thinking….

The witlessness of our leaders and of ourselves is indeed a problem. The real danger surely is not technology but technophobic Canute-ism, a belief that we can control, change or stem the technological tide instead of understanding that we need to learn how to harness it. Driving cars is dangerous, but we developed driving lesson requirements, traffic controls, seat-belts, maintenance protocols, proximity sensors, emission standards – all kinds of ways of mitigating the danger so as not to deny ourselves the life-changing benefits of motoring.

We understand why angry Ned Ludd destroyed the weaving machines that were threatening his occupation (Luddites were prophetic in their way, it was weaving machines that first used the punched cards on which computers relied right up to the 1970s). We understand too why French workers took their clogs, their sabots as they were called, and threw them into the machinery to jam it up, giving us the word sabotage. But we know that they were in the end, if you’ll pardon the phrase, pissing into the wind. No technology has ever been stopped.

So what is the thesis I am nailing up? Well, there is no authority for me to protest to, no equivalent of Pope Leo X for it to be delivered to, and I am certainly no Martin Luther. The only thesis I can think worth nailing up is absurdly simple. It is a cry as much from the heart as from the head and it is just one word – Prepare. We have an advantage over our hunter gatherer and farming ancestors, for whether it is Winter that is coming, or a new Spring, is entirely in our hands, so long as we prepare….(More)”.

Our path to better science in less time using open data science tools


Julia S. Stewart Lowndes et al in Nature: “Reproducibility has long been a tenet of science but has been challenging to achieve—we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same—so we can all produce better science in less time.

Figure 1: Better science in less time, illustrated by the Ocean Health Index project.
Figure 1

Every year since 2012 we have repeated Ocean Health Index (OHI) methods to track change in global ocean health36,37. Increased reproducibility and collaboration has reduced the amount of time required to repeat methods (size of bubbles) with updated data annually, allowing us to focus on improving methods each year (text labels show the biggest innovations). The original assessment in 2012 focused solely on scientific methods (for example, obtaining and analysing data, developing models, calculating, and presenting results; dark shading). In 2013, by necessity we gave more focus to data science (for example, data organization and wrangling, coding, versioning, and documentation; light shading), using open data science tools. We established R as the main language for all data preparation and modelling (using RStudio), which drastically decreased the time involved to complete the assessment. In 2014, we adopted Git and GitHub for version control, project management, and collaboration. This further decreased the time required to repeat the assessment. We also created the OHI Toolbox, which includes our R package ohicore for core analytical operations used in all OHI assessments. In subsequent years we have continued (and plan to continue) this trajectory towards better science in less time by improving code with principles of tidy data33; standardizing file and data structure; and focusing more on communication, in part by creating websites with the same open data science tools and workflow. See text and Table 1 for more details….(More)”