Democracy makes itself at home online


Geoff Mulgan on the creation of new parties in 2015 at NESTA: “….On its own the Internet is an imperfect tool for making decisions or shaping options. Opening decisions up to large numbers of people doesn’t automatically make decisions better (the ‘wisdom of crowds’). But in the right circumstances the Internet can involve far more people in shaping policy and sharing their expertise.
Hybrid models that combine the openness of the Internet with a continuing role for parliaments, committees and leaders in making decisions and being held to account are showing great promise (something being pursued in Nesta’s D-CENT project in countries like Finland and Iceland, and in our work with Podemos in Spain).
My prediction is that the aftermath of the UK election will see the first Internet-age parties emerge in the UK, our own versions of Podemos or Democracy OS. My hope is that they will help to engage millions of people currently detached from politics, and to provide them with ways to directly influence ideas and decisions. UKIP has tapped into that alienation – but mainly offers a better yesterday rather than a plausible vision of the future. That leaves a gap for new parties that are more at home in the 21st century and can target a much younger age group.
If new parties do spring up, the old ones will have to respond. Before long open primaries, deliberations on the Internet, and crowd-sourced policy processes could become the norm. As that happens politics will become messier and more interesting. Leaders will have to be adept at responding to contradictory currents of opinion, with more conversation and fewer bland speeches. The huge power once wielded by newspaper owners, commentators and editors will almost certainly continue to decline.
The hope, in short, is that democracy could be reenergised…. (More).

The openness revolution


The Economist: “Business is being forced to open up in a host of reporting areas, from tax and government contracts to anti-corruption and sustainability programmes. Campaigners are cock-a-hoop, but continue to demand more. Executives are starting to ask whether the revolution is in danger of going too far.
Three forces are driving change. First, governments are demanding greater corporate accountability in the wake of the global financial crisis. No longer is ending corporate secrecy—the sharp end of which is money-laundering shell companies—an agenda pushed merely by Norway and a few others; it has become a priority for the G20. Second, investigative journalists have piled in. A recent example is the exposure by the International Consortium of Investigative Journalists of sweetheart tax deals for multinationals in Luxembourg. The third factor is the growing sophistication of NGOs in this sphere, such as Transparency International (TI) and Global Witness. “Twenty years ago our work seemed an impossible dream. Now it’s coming true,” says Ben Elers of TI.
TI recently published its latest study on corporate reporting, which evaluated 124 big publicly listed companies, based on the clarity of their anti-corruption programmes, their corporate holdings and their financial reporting. Four-fifths of them scored less than five out of ten overall, but there were big regional disparities: seven of the ten most open firms were European; eight of the ten most clammed-up were Asian (see table)….

The Global Open Data Index 2014


Open Knowledge Foundation: “The Global Open Data Index ranks countries based on the availability and accessibility of information in ten key areas, including government spending, election results, transport timetables, and pollution levels.
The UK tops the 2014 Index retaining its pole position with an overall score of 96%, closely followed by Denmark and then France at number 3 up from 12th last year. Finland comes in 4th while Australia and New Zealand share the 5th place. Impressive results were seen from India at #10 (up from #27) and Latin American countries like Colombia and Uruguay who came in joint 12th .
Sierra Leone, Mali, Haiti and Guinea rank lowest of the countries assessed, but there are many countries where the governments are less open but that were not assessed because of lack of openness or a sufficiently engaged civil society.
Overall, whilst there is meaningful improvement in the number of open datasets (from 87 to 105), the percentage of open datasets across all the surveyed countries remained low at only 11%.
Even amongst the leaders on open government data there is still room for improvement: the US and Germany, for example, do not provide a consolidated, open register of corporations. There was also a disappointing degree of openness around the details of government spending with most countries either failing to provide information at all or limiting the information available – only two countries out of 97 (the UK and Greece) got full marks here. This is noteworthy as in a period of sluggish growth and continuing austerity in many countries, giving citizens and businesses free and open access to this sort of data would seem to be an effective means of saving money and improving government efficiency.
Explore the Global Open Data Index 2014 for yourself!”

Estonia: What is e-Residency?


“E-residency is a state-issued secure digital identity for non-residents that allows digital authentication and the digital signing of documents.
E-residency is provided by the government of the Republic of Estonia, but does not bring physical residency or rights of entry to Estonia or EU. E-residency does not entail any residential or citizen rights and cannot be used as a physical identification card or travel document.
The purpose of e-residency is to make life easier by using secure e-services that have been accessible to Estonians for years already. By providing e-residency, we are moving towards the idea of a country without borders.
E-residents receive a smart ID-card with a microchip (contact chip) that contains two certificates:
• Certificate for authentication
• Certificate for digital signatures
Digital authentication allows you to access different e-services (provided both by the public and private sector), and to log in to any online portals that recognize this type of authentication (such as internet banks, government portals etc). Digital authenticating requires you to enter a 4-digit PIN code, similar to your bank card.
Digital signing allows you to securely sign any type of documents from anywhere you are in the world, provided there is Internet access, with your 5-12 digit PIN code. Within EU, digital signatures are legally binding in all member states. Outside EU, digital signatures are legally binding in the case of mutual agreement between the parties….
General information about e-residency can be found here on a downloadable PDF

Test-tube government


The Economist: “INCUBATORS, accelerators, garages, laboratories: the best big companies have had them for years. Whatever the moniker (The Economist once had one called “Project Red Stripe”), in most cases a select few workers are liberated from the daily grind and encouraged to invent the future. Now such innovation units are becoming de rigueur in the public sector too: Boston has an Office of New Urban Mechanics; Denmark has a MindLab; and Singapore has the more prosaically named PS21 Office.
These government laboratories provide a bridge between the public and private sectors. Sometimes governments simply copy what private firms are doing. MindLab is based on the Future Centre, the innovation unit of Skandia, a big insurance firm. Sometimes they get money and advice from private sources: the New Orleans Innovation Delivery Team is partly funded by Michael Bloomberg, the former mayor of New York city and one of America’s biggest media tycoons. Whatever the connection, these units plug the public sector into a new world. They are full of people talking about “disruption” and “iteration”.
The units also provide a connection with academia. Britain’s Behavioural Insights Team, originally based in the Cabinet Office, was the world’s first government outfit dedicated to applying the insights of behavioural economics to public policy (it was known as the “nudge unit”, after the book “Nudge”, by Richard Thaler and Cass Sunstein). David Halpern, the group’s head, says that its mission was to point out the “small details” of policy that can have big consequences (see Free Exchange). It persuaded, for instance, HM Revenue & Customs, Britain’s tax collection agency, to tweak the words of a routine letter to say that most people in the recipient’s local area had already paid their taxes. As a result, payment rates increased by five percentage points.
A new report published by Nesta, a British charity devoted to promoting innovation, and Bloomberg Philanthropies shows how popular these government innovation labs have become. They can be found in a striking variety of places, from developing countries such as Malaysia to rich countries like Finland, and in the offices of mayors as well as the halls of central government.
Whatever their location, the study suggests they go about things in similar ways, with a lot of emphasis on harnessing technology. The most popular idea is co-creation—getting one’s customers to help invent and improve products and services. Boston’s Office of New Urban Mechanics has produced a series of apps which provide citizens with a convenient way of reporting problems such as graffiti and pot holes (by taking a photograph and sending it to city hall, users provide it with evidence and GPS co-ordinates). The staff-suggestion scheme introduced by PS21 in Singapore has produced striking results: one air-force engineer came up with the idea of scanning aircraft for leaks with ultraviolet light, just as opticians scan the cornea for scratches….
The most striking thing about these institutions, however, is their willingness to experiment. Policymakers usually alternate between hostility to new ideas and determination to implement a new policy without bothering to try it out first. Innovation centres tend to be both more daring and happy to test things. Sitra, for instance, is experimenting with health kiosks in shopping centres which are staffed by nurses, provide routine care and stay open late and on weekends. The Centre for Social Innovation in Colombia has developed computer games which are designed to teach pre-teenagers to make sensible choices about everything from nutrition to gang membership. Sitra also tracks the progress of each project that it funds against its stated goals….”

How to Fingerprint a City


Frank Jacobs at BigThink: “Thanks to Big Data, a new “Science of Cities” is emerging. Urban processes that until now could only be perceived subjectively can finally be quantified. Point in case: two French scientists have developed a mathematical formula to ‘fingerprint’ cities.
Take a good, close look at your fingertips. The pattern of grooves and ridges on your skin there [1] is yours alone. Equally unique is the warp and weft of urban road networks. No two cities’ street grids are exactly alike. Some are famously distinct. The forensic urbanist in all of us can probably recognise a blind map of New York, London and a few other global metropolises.
Rémi Louf and Marc Barthelemy examined the street patterns of 131 cities around the world. Not to learn them by heart and impress their fellow scientists at the Institut de Physique Théorique near Paris – although that would be a neat parlor trick. They wanted to see if it would be possible to classify them into distinct types. The title of their paper, A Typology of Street Patterns, is a bit of a giveaway: the answer is Yes.
Before we get to the How, let’s hear them explain the Why:

“[Street and road] networks can be thought as a simplified schematic view of cities, which captures a large part of their structure and organization and contain a large amount of information about underlying and universal mechanisms at play in their formation and evolution. Extracting common patterns between cities is a way towards the identification of these underlying mechanisms. At stake is the question of the processes behind the so-called ‘organic’ patterns – which grow in response to local constraints – and whether they are preferable to the planned patterns which are designed under large scale constraints”.

There have been attempts before to classify urban networks, but the results have always been colored by the subjectivity of what Louf and Barthelemy call the ‘Space Syntax Community’. That’s all changed now: Big Data – in this case, the mass digitization of street maps – makes it possible to extract common patterns from street grids in an objective manner, as dispassionately as the study of tree leaves according to their venation. …
Read their entire paper here.

Mapping information economy business with big data: findings from the UK


NESTA: “This paper uses innovative ‘big data’ resources to measure the size of the information economy in the UK.

Key Findings

  • Counts of information economy firms are 42 per cent larger than SIC-based estimates
  • Using ‘big data’ estimates, the research finds 225,800 information economy businesses in the UK
  • Information economy businesses are highly clustered across the country, with very high counts in the Greater South East, notably London (especially central and east London), as well as big cities such as Manchester, Birmingham and Bristol
  • Looking at local clusters, we find hotspots in Middlesbrough, Aberdeen, Brighton, Cambridge and Coventry, among others

Information and Communications Technologies – and the digital economy they support – are of enduring interest to researchers and policymakers. National and local government are particularly keen to understand the characteristics and growth potential of ‘their’ digital businesses.
Given the recent resurgence of interest in industrial policy across many developed countries, there is now substantial policy interest in developing stronger, more competitive digital economies. For example, the UK’s current industrial strategy combines horizontal interventions with support for seven key sectors, of which the ‘information economy’ is one.
The desire to grow high–tech clusters is often prominent in the policy mix – for instance, the UK’s Tech City UK initiative, Regional Innovation Clusters in the US and elements of ‘smart specialisation’ policies in the EU.
In this paper, NIESR and Growth Intelligence use novel ‘big data’ sources to improve our understanding of information economy businesses in the UK – that is, those involved in the production of ICTs. We use this experience to critically reflect on some of the opportunities and challenges presented by big data tools and analytics for economic research and policymaking.”
– See more at: http://www.nesta.org.uk/publications/mapping-information-economy-business-big-data-findings-uk-0#sthash.2ismEMr2.dpuf

Restoring Confidence in Open, Shared and Personal Data


Report of the UK Digital Government Review: “It is obvious that government needs to be able to use data both to deliver services and to present information to public view. How else would government know which bank account to place a pension payment into, or a citizen know the results of an election or how to contact their elected representatives?

As more and more data is created, preserved and shared in ever-increasing volumes a number of urgent questions are begged: over opportunities and hazards; over the importance of using best-practice techniques, insights and technologies developed in the private sector, academia and elsewhere; over the promises and limitations of openness; and how all this might be articulated and made accessible to the public.

Government has already adopted “open data” (we will discuss this more in the next section) and there are now increasing calls for government to pay more attention to data analytics and so-called “big data” – although the first faltering steps to unlock benefits, here, have often ended in the discovery that using large-scale data is a far more nuanced business than was initially assumed

Debates around government and data have often been extremely high-profile – the NHS care.data [27] debate was raging while this review was in progress – but they are also shrouded in terms that can generate confusion and complexities that are not easily summarized.

In this chapter we will unpick some of these terms and some parts of the debate. This is a detailed and complex area and there is much more that could have been included [28]. This is not an area that can easily be summarized into a simple bullet-pointed list of policies.

Within this report we will use the following terms and definitions, proceeding to a detailed analysis of each in turn:

Type of Data

Definition [29]

Examples

1. Open Data Data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike Insolvency notices in the London Gazette
Government spending information
Public transport information
Official National Statistics
2. Shared Data Restricted data provided to restricted organisations or individuals for restricted purposes National Pupil Database
NHS care.data
Integrated health and social care
Individual census returns
3. Personal Data Data that relate to a living individual who can be identified from that data. For full legal definition see [30] Health records
Individual tax records
Insolvency notices in the London gazette
National Pupil Database
NB These definitions overlap. Personal data can exist in both open and shared data.

This social productivity will help build future economic productivity; in the meantime it will improve people’s lives and it will enhance our democracy. From our analysis it was clear that there was room for improvement…”

How to use the Internet to end corrupt deals between companies and governments


Stella Dawson at the Thomson Reuters Foundation: “Every year governments worldwide spend more than $9.5 trillion on public goods and services, but finding out who won those contracts, why and whether they deliver as promised is largely invisible.
Enter the Open Contracting Data Standard (OCDS).
Canada, Colombia, Costa Rica and Paraguay became the first countries to announce on Tuesday that they have adopted the new global standards for publishing contracts online as part of a project to shine a light on how public money is spent and to combat massive corruption in public procurement.
“The mission is to end secret deals between companies and governments,” said Gavin Hayman, the incoming executive director for Open Contracting Partnership.
The concept is simple. Under Open Contracting, the government publishes online the projects it is putting out for bid and the terms; companies submit bids online; the winning contract is published including the reasons why; and then citizens can monitor performance according to the terms of the contract.
The Open Contracting initiative, developed by the World Wide Web Foundation with the support of the World Bank and Omidyar Network, has been several years in the making and is part of a broader global movement to increase the accountability of governments by using Internet technologies to make them more transparent.
A pioneer in data transparency was the Extractive Industries Transparency Initiative, a global coalition of governments, companies and civil society that works on improving accountability by publishing the revenues received in 35 member countries for their natural resources.
Publish What You Fund is a similar initiative for the aid industry. It delivered a common open standards in 2011 for donor countries to publish how much money they gave in development aid and details of what projects that money funded and where.
There’s also the Open Government Partnership, an international forum of 65 countries, each of which adopts an action plan laying out how it will improve the quality of government through collaboration with civil society, frequently using new technologies.
All of these initiatives have helped crack open the door of government.
What’s important about Open Contracting is the sheer scale of impact it could have. Public procurement accounts for about 15 percent of global GDP and according to Anne Jellema, CEO of the World Wide Web Foundation which seeks to expand free access to the web worldwide and backed the OCDS project, corruption adds an estimated $2.3 trillion to the cost of those contracts every year.
A study by the Center for Global Development, a Washington-based think tank, looked at four countries already publishing their contracts online — the United Kingdom, Georgia, Colombia and Slovakia. It found open contracting increased visibility and encouraged more companies to submit bids, the quality and price competitiveness improved and citizen monitoring meant better service delivery….”
 

Gov.uk quietly disrupts the problem of online identity login


The Guardian: “A new “verified identity” scheme for gov.uk is making it simpler to apply for a new driving licence, passport or to file a tax return online, allowing users to register securely using one log in that connects and securely stores their personal data.
After nearly a year of closed testing with a few thousand Britons, the “Gov.UK Verify” scheme quietly opened to general users on 14 October, expanding across more services. It could have as many as half a million users with a year.
The most popular services are expected to be one for tax credit renewals, and CAP farm information – both expected to have around 100,000 users by April next year, and on their own making up nearly half of the total use.
The team behind the system claim this is a world first. Those countries that have developed advanced government services online, such as Estonia, rely on state identity cards – which the UK has rejected.
“This is a federated model of identity, not a centralised one,” said Janet Hughes, head of policy and engagement at the Government Digital Service’s identity assurance program, which developed and tested the system.
How it works
The Verify system has taken three years to develop, and involves checking a user’s identity against details from a range of sources, including credit reference agencies, utility bills, driving licences and mobile provider bills.
But it does not retain those pieces of information, and the credit checking companies do not know what service is being used. Only a mobile or landline number is kept in order to send verification codes for subsequent logins.
When people subsequently log in, they would have to provide a user ID and password, and verify their identity by entering a code sent to related stored phone number.
To enrol in the system, users have to be over 19, living in the UK, and been resident for over 12 months. A faked passport would not be sufficient: “they would need a very full false ID, and have to not appear on any list of fraudulent identities,” one source at the GDS told the Guardian.
Banks now following gov.uk’s lead
Government developers are confident that it presents a higher barrier to authentication than any other digital service – so that fraudulent transactions will be minimised. That has interested banks, which are understood to be expressing interest in using the same service to verify customer identities through an arms-length verification system.
The government system would not pass on people’s data, but would instead verify that someone is who they claim to be, much like Twitter and Facebook verify users’ identity to log in to third party sites, yet don’t share their users’ data.
The US, Canada and New Zealand have also expressed interest in following up the UK’s lead in the system, which requires separate pieces of verified information about themselves from different sources.
The system then cross-references that verified information with credit reference agencies and other sources, which can include a mobile phone provider, passport, bank account, utility bill or driving licence.
The level of confidence in an individual’s identity is split into four levels. The lowest is for the creation of simple accounts to receive reports or updates: “we don’t need to know who it is, only that it’s the same person returning,” said Hughes.
Level 2 requires that “on the balance of probability” someone is who they say they are – which is the level to which Verify will be able to identify people. Hughes says that this will cover the majority of services.
Level 3 requires identity “beyond reasonable doubt” – perhaps including the first application for a passport – and Level 4 would require biometric information to confirm individual identity.