The Global Open Data Index 2014

Curated on Posted on by Stefaan Verhulst
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!”

The case against human rights

Curated on Posted on by Stefaan Verhulst

Eric Posner in the Guardian: “We live in an age in which most of the major human rights treaties – there are nine “core” treaties – have been ratified by the vast majority of countries. Yet it seems that the human rights agenda has fallen on hard times. In much of the Islamic world, women lack equality, religious dissenters are persecuted and political freedoms are curtailed. The Chinese model of development, which combines political repression and economic liberalism, has attracted numerous admirers in the developing world. Political authoritarianism has gained ground in Russia, Turkey, Hungary and Venezuela. Backlashes against LGBT rights have taken place in countries as diverse as Russia and Nigeria. The traditional champions of human rights – Europe and the United States – have floundered. Europe has turned inward as it has struggled with a sovereign debt crisis, xenophobia towards its Muslim communities and disillusionment with Brussels. The United States, which used torture in the years after 9/11 and continues to kill civilians with drone strikes, has lost much of its moral authority. Even age-old scourges such as slavery continue to exist. A recent report estimates that nearly 30 million people are forced against their will to work. It wasn’t supposed to be like this.
At a time when human rights violations remain widespread, the discourse of human rights continues to flourish…
And yet it is hard to avoid the conclusion that governments continue to violate human rights with impunity. Why, for example, do more than 150 countries (out of 193 countries that belong to the UN) engage in torture? Why has the number of authoritarian countries increased in the last several years? Why do women remain a subordinate class in nearly all countries of the world? Why do children continue to work in mines and factories in so many countries?
The truth is that human rights law has failed to accomplish its objectives. There is little evidence that human rights treaties, on the whole, have improved the wellbeing of people. The reason is that human rights were never as universal as people hoped, and the belief that they could be forced upon countries as a matter of international law was shot through with misguided assumptions from the very beginning. The human rights movement shares something in common with the hubris of development economics, which in previous decades tried (and failed) to alleviate poverty by imposing top-down solutions on developing countries. But where development economists have reformed their approach, the human rights movement has yet to acknowledge its failures. It is time for a reckoning….
It is time to start over with an approach to promoting wellbeing in foreign countries that is empirical rather than ideological. Human rights advocates can learn a lot from the experiences of development economists – not only about the flaws of top-down, coercive styles of forcing people living in other countries to be free, but about how one can actually help those people if one really wants to. Wealthy countries can and should provide foreign aid to developing countries, but with the understanding that helping other countries is not the same as forcing them to adopt western institutions, modes of governance, dispute-resolution systems and rights. Helping other countries means giving them cash, technical assistance and credit where there is reason to believe that these forms of aid will raise the living standards of the poorest people. Resources currently used in fruitless efforts to compel foreign countries to comply with the byzantine, amorphous treaty regime would be better used in this way.
With the benefit of hindsight, we can see that the human rights treaties were not so much an act of idealism as an act of hubris, with more than a passing resemblance to the civilising efforts undertaken by western governments and missionary groups in the 19th century, which did little good for native populations while entangling European powers in the affairs of countries they did not understand. A humbler approach is long overdue.”
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Mapping information economy business with big data: findings from the UK

Curated on Posted on by Stefaan Verhulst

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

Cities Find Rewards in Cheap Technologies

Curated on Posted on by Stefaan Verhulst

Nanette Byrnes at MIT Technology Review: “Cities around the globe, whether rich or poor, are in the midst of a technology experiment. Urban planners are pulling data from inexpensive sensors mounted on traffic lights and park benches, and from mobile apps on citizens’ smartphones, to analyze how their cities really operate. They hope the data will reveal how to run their cities better and improve urban life. City leaders and technology experts say that managing the growing challenges of cities well and affordably will be close to impossible without smart technology.
Fifty-four percent of humanity lives in urban centers, and almost all of the world’s projected population growth over the next three decades will take place in cities, including many very poor cities. Because of their density and often strained infrastructure, cities have an outsize impact on the environment, consuming two-thirds of the globe’s energy and contributing 70 percent of its greenhouse-gas emissions. Urban water systems are leaky. Pollution levels are often extreme.
But cities also contribute most of the world’s economic production. Thirty percent of the world’s economy and most of its innovation are concentrated in just 100 cities. Can technology help manage rapid population expansion while also nurturing cities’ all-important role as an economic driver? That’s the big question at the heart of this Business Report.
Selling answers to that question has become a big business. IBM, Cisco, Hitachi, Siemens, and others have taken aim at this market, publicizing successful examples of cities that have used their technology to tackle the challenges of parking, traffic, transportation, weather, energy use, water management, and policing. Cities already spend a billion dollars a year on these systems, and that’s expected to grow to $12 billion a year or more in the next 10 years.
To justify this kind of outlay, urban technologists will have to move past the test projects that dominate discussions today. Instead, they’ll have to solve some of the profound and growing problems of urban living. Cities leaning in that direction are using various technologies to ease parking, measure traffic, and save water (see “Sensing Santander”), reduce rates of violent crime (see “Data-Toting Cops”), and prepare for ever more severe weather patterns.
There are lessons to be learned, too, from cities whose grandiose technological ideas have fallen short, like the eco-city initiative of Tianjin, China (see “China’s Future City”), which has few residents despite great technology and deep government support.
The streets are similarly largely empty in the experimental high-tech cities of Songdo, South Korea; Masdar City, Abu Dhabi; and Paredes, Portugal, which are being designed to have minimal impact on the environment and offer high-tech conveniences such as solar-powered air-conditioning and pneumatic waste disposal systems instead of garbage trucks. Meanwhile, established cities are taking a much more incremental, less ambitious, and perhaps more workable approach, often benefiting from relatively inexpensive and flexible digital technologies….”

Off the map

Curated on Posted on by Stefaan Verhulst

The Economist: “Rich countries are deluged with data; developing ones are suffering from drought…
AFRICA is the continent of missing data. Fewer than half of births are recorded; some countries have not taken a census in several decades. On maps only big cities and main streets are identified; the rest looks as empty as the Sahara. Lack of data afflicts other developing regions, too. The self-built slums that ring many Latin American cities are poorly mapped, and even estimates of their population are vague. Afghanistan is still using census figures from 1979—and that count was cut short after census-takers were killed by mujahideen.
As rich countries collect and analyse data from as many objects and activities as possible—including thermostats, fitness trackers and location-based services such as Foursquare—a data divide has opened up. The lack of reliable data in poor countries thwarts both development and disaster-relief. When Médecins Sans Frontières (MSF), a charity, moved into Liberia to combat Ebola earlier this year, maps of the capital, Monrovia, fell far short of what was needed to provide aid or track the disease’s spread. Major roads were marked, but not minor ones or individual buildings.
Poor data afflict even the highest-profile international development effort: the Millennium Development Goals (MDGs). The targets, which include ending extreme poverty, cutting infant mortality and getting all children into primary school, were set by UN members in 2000, to be achieved by 2015. But, according to a report by an independent UN advisory group published on November 6th, as the deadline approaches, the figures used to track progress are shaky. The availability of data on 55 core indicators for 157 countries has never exceeded 70%, it found (see chart)….
Some of the data gaps are now starting to be filled from non-government sources. A volunteer effort called Humanitarian OpenStreetMap Team (HOT) improves maps with information from locals and hosts “mapathons” to identify objects shown in satellite images. Spurred by pleas from those fighting Ebola, the group has intensified its efforts in Monrovia since August; most of the city’s roads and many buildings have now been filled in (see maps). Identifying individual buildings is essential, since in dense slums without formal roads they are the landmarks by which outbreaks can be tracked and assistance targeted.
On November 7th a group of charities including MSF, Red Cross and HOT unveiled MissingMaps.org, a joint initiative to produce free, detailed maps of cities across the developing world—before humanitarian crises erupt, not during them. The co-ordinated effort is needed, says Ivan Gayton of MSF: aid workers will not use a map with too little detail, and are unlikely, without a reason, to put work into improving a map they do not use. The hope is that the backing of large charities means the locals they work with will help.
In Kenya and Namibia mobile-phone operators have made call-data records available to researchers, who have used them to combat malaria. By comparing users’ movements with data on outbreaks, epidemiologists are better able to predict where the disease might spread. mTrac, a Ugandan programme that replaces paper reports from health workers with texts sent from their mobile phones, has made data on medical cases and supplies more complete and timely. The share of facilities that have run out of malaria treatments has fallen from 80% to 15% since it was introduced.
Private-sector data are also being used to spot trends before official sources become aware of them. Premise, a startup in Silicon Valley that compiles economics data in emerging markets, has found that as the number of cases of Ebola rose in Liberia, the price of staple foods soared: a health crisis risked becoming a hunger crisis. In recent weeks, as the number of new cases fell, prices did, too. The authorities already knew that travel restrictions and closed borders would push up food prices; they now have a way to measure and track price shifts as they happen….”

Stories of Innovative Democracy at Local Level

Curated on Posted on by Stefaan Verhulst

Special Issue of Field Actions Science Reports published in partnership with CIVICUS, coordinated by Dorothée Guénéheux, Clara Bosco, Agnès Chamayou and Henri Rouillé d’Orfeuil: “This special issue presents many and varied field actions, such as the promotion of the rights of young people, the resolution of the conflicts of agropastoral activities, or the process of participatory decisionmaking on community budgetary allocations, among many others. It addresses projects developed all over the world, on five continents, and covering both the northern and southern hemispheres. The legitimate initial queries and doubts that assailed those who started this publication as regards its feasibility, have been swept away by the enthusiasm and the large number of papers that have been sent in….”

 

Logged On: Smart Government Solutions from South Asia

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Book by Zubair K. Bhatti, Jody Zall Kusek and Tony Verheijen: “Logged On looks at mobile and smart phone technology through the lens of good government management. How will developing governments deliver goods and services that citizens care about? How will government in these countries leapfrog over traditional public management reforms to help reach out to and collaborate directly with the citizen? This book provides example after example where this has happened and how mobile technology has helped provide solutions to old problems. Our astounding revelation that mobile technology is helping to fight corruption in Pakistan, improve health delivery in Bangladesh, provide access to government by the ordinary citizen in India, and help monitor elections in Afghanistan. If this Is possible in some place in poor South Asian countries considered the most poor in the world, then how can these examples be spread to further in these counties or in other countries? Logged on Government provides a look back on conventional solutions that have mostly not worked and why mobile solutions are taking hold. The book offers a model called Smart Proactive Government based on a Feedback model being used in Punjab, Pakistan. The book also offers five solutions that are present in every successful mobile and smart phone example that the authors reviewed. (Book PDF (20.18 MB) | View Chapters).”

Ebola and big data: Call for help

Curated on Posted on by Stefaan Verhulst

The Economist: “WITH at least 4,500 people dead, public-health authorities in west Africa and worldwide are struggling to contain Ebola. Borders have been closed, air passengers screened, schools suspended. But a promising tool for epidemiologists lies unused: mobile-phone data.
When people make mobile-phone calls, the network generates a call data record (CDR) containing such information as the phone numbers of the caller and receiver, the time of the call and the tower that handled it—which gives a rough indication of the device’s location. This information provides researchers with an insight into mobility patterns. Indeed phone companies use these data to decide where to build base stations and thus improve their networks, and city planners use them to identify places to extend public transport.
But perhaps the most exciting use of CDRs is in the field of epidemiology. Until recently the standard way to model the spread of a disease relied on extrapolating trends from census data and surveys. CDRs, by contrast, are empirical, immediate and updated in real time. You do not have to guess where people will flee to or move. Researchers have used them to map malaria outbreaks in Kenya and Namibia and to monitor the public response to government health warnings during Mexico’s swine-flu epidemic in 2009. Models of population movements during a cholera outbreak in Haiti following the earthquake in 2010 used CDRs and provided the best estimates of where aid was most needed.
Doing the same with Ebola would be hard: in west Africa most people do not own a phone. But CDRs are nevertheless better than simulations based on stale, unreliable statistics. If researchers could track population flows from an area where an outbreak had occurred, they could see where it would be likeliest to break out next—and therefore where they should deploy their limited resources. Yet despite months of talks, and the efforts of the mobile-network operators’ trade association and several smaller UN agencies, telecoms firms have not let researchers use the data (see article).
One excuse is privacy, which is certainly a legitimate worry, particularly in countries fresh from civil war, or where tribal tensions exist. But the phone data can be anonymised and aggregated in a way that alleviates these concerns. A bigger problem is institutional inertia. Big data is a new field. The people who grasp the benefits of examining mobile-phone usage tend to be young, and lack the clout to free them for research use.”

Ebola: Can big data analytics help contain its spread?

Curated on Posted on by Stefaan Verhulst

Matthew Wall at BBC News: “While emergency response teams, medical charities and non-governmental organisations struggle to contain the virus, could big data analytics help?
A growing number of data scientists believe so….
Mobile phones, widely owned in even the poorest countries in Africa, are proving to be a rich source of data in a region where other reliable sources are sorely lacking.
Orange Telecom in Senegal handed over anonymised voice and text data from 150,000 mobile phones to Flowminder, a Swedish non-profit organisation, which was then able to draw up detailed maps of typical population movements in the region.
Authorities could then see where the best places were to set up treatment centres, and more controversially, the most effective ways to restrict travel in an attempt to contain the disease.
The drawback with this data was that it was historic, when authorities really need to be able to map movements in real time. People’s movements tend to change during an epidemic.
This is why the US Centers for Disease Control and Prevention (CDC) is also collecting mobile phone mast activity data from mobile operators and mapping where calls to helplines are mostly coming from.

Population movement map of West AfricaMobile phone data from West Africa is being used to map population movements and predict how the Ebola virus might spread

A sharp increase in calls to a helpline from one particular area would suggest an outbreak and alert authorities to direct more resources there.
Mapping software company Esri is helping CDC to visualise this data and overlay other existing sources of data from censuses to build up a richer picture.
The level of activity at each mobile phone mast also gives a kind of heatmap of where people are and crucially, where and how far they are moving.

“We’ve never had this large-scale, anonymised mobile phone data before as a species,” says Nuria Oliver, a scientific director at mobile phone company Telefonica.

“The most positive impact we can have is to help emergency relief organisations and governments anticipate how a disease is likely to spread.
“Until now they had to rely on anecdotal information, on-the-ground surveys, police and hospital reports.”…

Killer Apps in the Gigabit Age

Curated on Posted on by Stefaan Verhulst

New Pew report By , and : “The age of gigabit connectivity is dawning and will advance in coming years. The only question is how quickly it might become widespread. A gigabit connection can deliver 1,000 megabits of information per second (Mbps). Globally, cloud service provider Akamai reports that the average global connection speed in quarter one of 2014 was 3.9 Mbps, with South Korea reporting the highest average connection speed, 23.6 Mbps and the US at 10.5 Mbps.1
In some respects, gigabit connectivity is not a new development. The US scientific community has been using hyper-fast networks for several years, changing the pace of data sharing and enabling levels of collaboration in scientific disciplines that were unimaginable a generation ago.
Gigabit speeds for the “average Internet user” are just arriving in select areas of the world. In the US, Google ran a competition in 2010 for communities to pitch themselves for the construction of the first Google Fiber network running at 1 gigabit per second—Internet speeds 50-100 times faster than the majority of Americans now enjoy. Kansas City was chosen among 1,100 entrants and residents are now signing up for the service. The firm has announced plans to build a gigabit network in Austin, Texas, and perhaps 34 other communities. In response, AT&T has said it expects to begin building gigabit networks in up to 100 US cities.2 The cities of Chattanooga, Tennessee; Lafayette, Louisiana; and Bristol, Virginia, have super speedy networks, and pockets of gigabit connectivity are in use in parts of Las Vegas, Omaha, Santa Monica, and several Vermont communities.3 There are also other regional efforts: Falcon Broadband in Colorado Springs, Colorado; Brooklyn Fiber in New York; Monkey Brains in San Francisco; MINET Fiber in Oregon; Wicked Fiber in Lawrence, Kansas; and Sonic.net in California, among others.4 NewWave expects to launch gigabit connections in 2015 in Poplar Bluff, Missouri Monroe, Rayville, Delhi; and Tallulah, Louisiana, and Suddenlink Communications has launched Operation GigaSpeed.5
In 2014, Google and Verizon were among the innovators announcing that they are testing the capabilities for currently installed fiber networks to carry data even more efficiently—at 10 gigabits per second—to businesses that handle large amounts of Internet traffic.
To explore the possibilities of the next leap in connectivity we asked thousands of experts and Internet builders to share their thoughts about likely new Internet activities and applications that might emerge in the gigabit age. We call this a canvassing because it is not a representative, randomized survey. Its findings emerge from an “opt in” invitation to experts, many of whom play active roles in Internet evolution as technology builders, researchers, managers, policymakers, marketers, and analysts. We also invited comments from those who have made insightful predictions to our previous queries about the future of the Internet. (For more details, please see the section “About this Canvassing of Experts.”)…”