To the Cloud: Big Data in a Turbulent World


Book by Vincent Mosco: “In the wake of revelations about National Security Agency activities—many of which occur “in the cloud”—this book offers both enlightenment and a critical view. Cloud computing and big data are arguably the most significant forces in information technology today. In clear prose, To the Cloud explores where the cloud originated, what it means, and how important it is for business, government, and citizens. It describes the intense competition among cloud companies like Amazon and Google, the spread of the cloud to government agencies like the controversial NSA, and the astounding growth of entire cloud cities in China. From advertising to trade shows, the cloud and big data are furiously marketed to the world, even as dark clouds loom over environmental, privacy, and employment issues that arise from the cloud. Is the cloud the long-promised information utility that will solve many of the world’s economic and social problems? Or is it just marketing hype? To the Cloud provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world.”

Open Government Data Gains Global Momentum


Wyatt Kash in Information Week: “Governments across the globe are deepening their strategic commitments and working more closely to make government data openly available for public use, according to public and private sector leaders who met this week at the inaugural Open Government Data Forum in Abu Dhabi, hosted by the United Nations and the United Arab Emirates, April 28-29.

Data experts from Europe, the Middle East, the US, Canada, Korea, and the World Bank highlighted how one country after another has set into motion initiatives to expand the release of government data and broaden its use. Those efforts are gaining traction due to multinational organizations, such as the Open Government Partnership, the Open Data Institute, The World Bank, and the UN’s e-government division, that are trying to share practices and standardize open data tools.
In the latest example, the French government announced April 24 that it is joining the Open Government Partnership, a group of 64 countries working jointly to make their governments more open, accountable, and responsive to citizens. The announcement caps a string of policy shifts, which began with the formal release of France’s Open Data Strategy in May 2011 and which parallel similar moves by the US.
The strategy committed France to providing “free access and reuse of public data… using machine-readable formats and open standards,” said Romain Lacombe, head of innovation for the French prime minister’s open government task force, Etalab. The French government is taking steps to end the practice of selling datasets, such as civil and case-law data, and is making them freely reusable. France launched a public data portal, Data.gouv.fr, in December 2011 and joined a G8 initiative to engage with open data innovators worldwide.
For South Korea, open data is not just about achieving greater transparency and efficiency, but is seen as digital fuel for a nation that by 2020 expects to achieve “ambient intelligence… when all humans and things are connected together,” said Dr. YoungSun Lee, who heads South Korea’s National Information Society Agency.
He foresees open data leading to a shift in the ways government will function: from an era of e-government, where information is delivered to citizens, to one where predictive analysis will foster a “creative government,” in which “government provides customized services for each individual.”
The open data movement is also propelling innovative programs in the United Arab Emirates. “The role of open data in directing economic and social decisions pertaining to investments… is of paramount importance” to the UAE, said Dr. Ali M. Al Khouri, director general of the Emirates Identity Authority. It also plays a key role in building public trust and fighting corruption, he said….”

Looking for the Needle in a Stack of Needles: Tracking Shadow Economic Activities in the Age of Big Data


Manju Bansal in MIT Technology Review: “The undocumented guys hanging out in the home-improvement-store parking lot looking for day labor, the neighborhood kids running a lemonade stand, and Al Qaeda terrorists plotting to do harm all have one thing in common: They operate in the underground economy, a shadowy zone where businesses, both legitimate and less so, transact in the currency of opportunity, away from traditional institutions and their watchful eyes.
One might think that this alternative economy is limited to markets that are low on the Transparency International rankings (such as sub-Saharan Africa and South Asia, for instance). However, a recent University of Wisconsin report estimates the value of the underground economy in the United States at about $2 trillion, about 15% of the total U.S. GDP. And a 2013 study coauthored by Friedrich Schneider, a noted authority on global shadow economies, estimated the European Union’s underground economy at more than 18% of GDP, or a whopping 2.1 trillion euros. More than two-thirds of the underground activity came from the most developed countries, including Germany, France, Italy, Spain, and the United Kingdom.
Underground economic activity is a multifaceted phenomenon, with implications across the board for national security, tax collections, public-sector services, and more. It includes the activity of any business that relies primarily on old-fashioned cash for most transactions — ranging from legitimate businesses (including lemonade stands) to drug cartels and organized crime.
Though it’s often soiled, heavy to lug around, and easy to lose to theft, cash is still king simply because it is so easy to hide from the authorities. With the help of the right bank or financial institution, “dirty” money can easily be laundered and come out looking fresh and clean, or at least legitimate. Case in point is the global bank HSBC, which agreed to pay U.S. regulators $1.9 billion in fines to settle charges of money laundering on behalf of Mexican drug cartels. According to a U.S. Senate subcommittee report, that process involved transferring $7 billion in cash from the bank’s branches in Mexico to those in the United States. Just for reference, each $100 bill weighs one gram, so to transfer $7 billion, HSBC had to physically transport 70 metric tons of cash across the U.S.-Mexican border.
The Financial Action Task Force, an intergovernmental body established in 1989, has estimated the total amount of money laundered worldwide to be around 2% to 5% of global GDP. Many of these transactions seem, at first glance, to be perfectly legitimate. Therein lies the conundrum for a banker or a government official: How do you identify, track, control, and, one hopes, prosecute money launderers, when they are hiding in plain sight and their business is couched in networked layers of perfectly defensible legitimacy?
Enter big-data tools, such as those provided by SynerScope, a Holland-based startup that is a member of the SAP Startup Focus program. This company’s solutions help unravel the complex networks hidden behind the layers of transactions and interactions.
Networks, good or bad, are near omnipresent in almost any form of organized human activity and particularly in banking and insurance. SynerScope takes data from both structured and unstructured data fields and transforms these into interactive computer visuals that display graphic patterns that humans can use to quickly make sense of information. Spotting of deviations in complex networked processes can easily be put to use in fraud detection for insurance, banking, e-commerce, and forensic accounting.
SynerScope’s approach to big-data business intelligence is centered on data-intense compute and visualization that extend the human “sense-making” capacity in much the same way that a telescope or microscope extends human vision.
To understand how SynerScope helps authorities track and halt money laundering, it’s important to understand how the networked laundering process works. It typically involves three stages.
1. In the initial, or placement, stage, launderers introduce their illegal profits into the financial system. This might be done by breaking up large amounts of cash into less-conspicuous smaller sums that are then deposited directly into a bank account, or by purchasing a series of monetary instruments (checks, money orders) that are then collected and deposited into accounts at other locations.
2. After the funds have entered the financial system, the launderer commences the second stage, called layering, which uses a series of conversions or transfers to distance the funds from their sources. The funds might be channeled through the purchase and sales of investment instruments, or the launderer might simply wire the funds through a series of accounts at various banks worldwide. 
Such use of widely scattered accounts for laundering is especially prevalent in those jurisdictions that do not cooperate in anti-money-laundering investigations. Sometimes the launderer disguises the transfers as payments for goods or services.
3. Having successfully processed the criminal profits through the first two phases, the launderer then proceeds to the third stage, integration, in which the funds re-enter the legitimate economy. The launderer might invest the funds in real estate, luxury assets, or business ventures.
Current detection tools compare individual transactions against preset profiles and rules. Sophisticated criminals quickly learn how to make their illicit transactions look normal for such systems. As a result, rules and profiles need constant and costly updating.
But SynerScope’s flexible visual analysis uses a network angle to detect money laundering. It shows the structure of the entire network with data coming in from millions of transactions, a structure that launderers cannot control. With just a few mouse clicks, SynerScope’s relation and sequence views reveal structural interrelationships and interdependencies. When those patterns are mapped on a time scale, it becomes virtually impossible to hide abnormal flows.

SynerScope’s relation and sequence views reveal structural and temporal transaction patterns which make it virtually impossible to hide abnormal money flows.”

The Right Colors Make Data Easier To Read


Sharon Lin And Jeffrey Heer at HBR Blog: “What is the color of money? Of love? Of the ocean? In the United States, most people respond that money is green, love is red and the ocean is blue. Many concepts evoke related colors — whether due to physical appearance, common metaphors, or cultural conventions. When colors are paired with the concepts that evoke them, we call these “semantically resonant color choices.”
Artists and designers regularly use semantically resonant colors in their work. And in the research we conducted with Julie Fortuna, Chinmay Kulkarni, and Maureen Stone, we found they can be remarkably important to data visualization.
Consider these charts of (fictional) fruit sales:
fruitcharts
The only difference between the charts is the color assignment. The left-hand chart uses colors from a default palette. The right-hand chart has been assigned semantically resonant colors. (In this case, the assignment was computed automatically using an algorithm that analyzes the colors in relevant images retrieved from Google Image Search using queries for each data category name.)
Now, try answering some questions about the data in each of these charts. Which fruit had higher sales: blueberries or tangerines? How about peaches versus apples? Which chart do you find easier to read?…
To make effective visualization color choices, you need to take a number of factors into consideration. To name just two: All the colors need to be suitably different from one another, for instance, so that readers can tell them apart – what’s called “discriminability.” You also need to consider what the colors look like to the color blind — roughly 8% of the U.S. male population! Could the colors be distinguished from one another if they were reprinted in black and white?
One easy way to assign semantically resonant colors is to use colors from an existing color palette that has been carefully designed for visualization applications (ColorBrewer offers some options) but assign the colors to data values in a way that best matches concept color associations. This is the basis of our own algorithm, which acquires images for each concept and then analyzes them to learn concept color associations. However, keep in mind that color associations may vary across cultures. For example, in the United States and many western cultures, luck is often associated with green (four-leaf clovers), while red can be considered a color of danger. However, in China, luck is traditionally symbolized with the color red.

Semantically resonant colors can reinforce perception of a wide range of data categories. We believe similar gains would likely be seen for other forms of visualizations like maps, scatterplots, and line charts. So when designing visualizations for presentation or analysis, consider color choice and ask yourself how well the colors resonate with the underlying data.”

How Civil Society Organizations Close the Gap between Transparency and Accountability


In a research note in the current issue of Governance, Albert Van Zyl poses “the most critical question for activists and scholars of accountability: How and when does transparency lead to greater accountability?”  Van Zyl’s note looks particularly at the role of civil society organizations (CSOs) in demanding and using government budget information, drawing on case studies of CSO activity in eleven countries in Africa, Latin America and South Asia.  Accountability is achieved, Van Zyl suggests, when CSOs are active and closely engaged with legislators, auditors, and other formal oversight institutions.  But research is still needed on the kinds of engagement that are most likely to enhance accountability.  Read the research note.

The Data Mining Techniques That Reveal Our Planet's Cultural Links and Boundaries


Emerging Technology From the arXiv: “The habits and behaviors that define a culture are complex and fascinating. But measuring them is a difficult task. What’s more, understanding the way cultures change from one part of the world to another is a task laden with challenges.
The gold standard in this area of science is known as the World Values Survey, a global network of social scientists studying values and their impact on social and political life. Between 1981 and 2008, this survey conducted over 250,000 interviews in 87 societies. That’s a significant amount of data and the work has continued since then. This work is hugely valuable but it is also challenging, time-consuming and expensive.
Today, Thiago Silva at the Universidade Federal de Minas Gerais in Brazil and a few buddies reveal another way to collect data that could revolutionize the study of global culture. These guys study cultural differences around the world using data generated by check-ins on the location-based social network, Foursquare.
That allows these researchers to gather huge amounts of data, cheaply and easily in a short period of time. “Our one-week dataset has a population of users of the same order of magnitude of the number of interviews performed in [the World Values Survey] in almost three decades,” they say.
Food and drink are fundamental aspects of society and so the behaviors and habits associated with them are important indicators. The basic question that Silva and co attempt to answer is: what are your eating and drinking habits? And how do these differ from a typical individual in another part of the world such as Japan, Malaysia, or Brazil?
Foursquare is ideally set up to explore this question. Users “check in” by indicating when they have reached a particular location that might be related to eating and drinking but also to other activities such as entertainment, sport and so on.
Silva and co are only interested in the food and drink preferences of individuals and, in particular, on the way these preferences change according to time of day and geographical location.
So their basic approach is to compare a large number individual preferences from different parts of the world and see how closely they match or how they differ.
Because Foursquare does not share its data, Silva and co downloaded almost five million tweets containing Foursquare check-ins, URLs pointing to the Foursquare website containing information about each venue. They discarded check-ins that were unrelated to food or drink.
That left them with some 280,000 check-ins related to drink from 160,000 individuals; over 400,000 check-ins related to fast food from 230,000 people; and some 400,000 check-ins relating to ordinary restaurant food or what Silva and co call slow food.
They then divide each of these classes into subcategories. For example, the drink class has 21 subcategories such as brewery, karaoke bar, pub, and so on. The slow food class has 53 subcategories such as Chinese restaurant, Steakhouse, Greek restaurant, and so on.
Each check-in gives the time and geographical location which allows the team to compare behaviors from all over the world. They compare, for example, eating and drinking times in different countries both during the week and at the weekend. They compare the choices of restaurants, fast food habits and drinking habits by continent and country. The even compare eating and drinking habits in New York, London, and Tokyo.
The results are a fascinating insight into humanity’s differing habits. Many places have similar behaviors, Malaysia and Singapore or Argentina and Chile, for example, which is just as expected given the similarities between these places.
But other resemblances are more unexpected. A comparison of drinking habits show greater similarity between Brazil and France, separated by the Atlantic Ocean, than they do between France and England, separated only by the English Channel…
They point out only two major differences. The first is that no Islamic cluster appears in the Foursquare data. Countries such as Turkey are similar to Russia, while Indonesia seems related to Malaysia and Singapore.
The second is that the U.S. and Mexico make up their own individual cluster in the Foursquare data whereas the World Values Survey has them in the “English-speaking” and “Latin American” clusters accordingly.
That’s exciting data mining work that has the potential to revolutionize the way sociologists and anthropologists study human culture around the world. Expect to hear more about it
Ref: http://arxiv.org/abs/1404.1009: You Are What You Eat (and Drink): Identifying Cultural Boundaries By Analyzing Food & Drink Habits In Foursquare”.

'Hackathons' Aim to Solve Health Care's Ills


Amy Dockser Marcus in the Wall Street Journal: “Hackathons, the high-octane, all-night problem-solving sessions popularized by the software-coding community, are making their way into the more traditional world of health care. At Massachusetts Institute of Technology, a recent event called Hacking Medicine’s Grand Hackfest attracted more than 450 people to work for one weekend on possible solutions to problems involving diabetes, rare diseases, global health and information technology used at hospitals.
Health institutions such as New York-Presbyterian Hospital and Brigham and Women’s Hospital in Boston have held hackathons. MIT, meantime, has co-sponsored health hackathons in India, Spain and Uganda.
Hackathons of all kinds are increasingly popular. Intel Corp.  recently bought a group that organizes them. Companies hoping to spark creative thinking sponsor them. And student-run hackathons have turned into intercollegiate competitions.
But in health care, where change typically comes much more slowly than in Silicon Valley, they represent a cultural shift. To solve a problem, scientists and doctors can spend years painstakingly running experiments, gathering data, applying for grants and publishing results. So the idea of an event where people give two-minute pitches describing a problem, then join a team of strangers to come up with a solution in the course of one weekend is radical.
“We are not trying to replace the medical culture with Facebook culture,” said Elliot Cohen, who wore a hoodie over a button-down dress shirt at the MIT event in March and helped start MIT Hacking Medicine while at business school. “But we want to try to blend them more.”
Mr. Cohen co-founded and is chief technology officer at PillPack, a pharmacy that sends customers personalized packages of their medications, a company that started at a hackathon.
At MIT’s health-hack, physicians, researchers, students and a smattering of people wearing Google Glass sprawled on the floor of MIT’s Media Lab and at tables with a view of the Boston skyline. At one table, a group of college students, laptops plastered with stickers, pulled juice boxes and snacks out of backpacks, trash piling up next to them as they feverishly wrote code.
Nupur Garg, an emergency-room physician and one of the eventual winners, finished her hospital shift at 2 a.m. Saturday in New York, drove to Boston and arrived at MIT in time to pitch the need for a way to capture images of patients’ ears and throats that can be shared with specialists to help make diagnoses. She and her team immediately started working on a prototype for the device, testing early versions on anyone who stopped by their table.
Dr. Garg and teammate Nancy Liang, who runs a company that makes Web apps for 3-D printers, caught a few hours of sleep in a dorm room Saturday night. They came up with the idea for their product’s name—MedSnap—later that night while watching students use cellphone cameras to send SnapChats to one another. “There was no time to conduct surveys on what was the best name,” said Ms. Liang. “Many ideas happen after midnight.”
Winning teams in each category won $1,000, as well as access to the hackathons sponsors for advice and pilot projects.
Yet even supporters say hackathons can’t solve medicine’s challenges overnight. Harlan Krumholz, a professor at Yale School of Medicine who ran a many-months trial that found telemonitoring didn’t reduce hospitalizations or deaths of cardiology patients, said he supports the problem-solving ethos of hackathons. But he added that “improvements require a long-term commitment, not just a weekend.”
Ned McCague, a data scientist at Blue Cross Blue Shield of Massachusetts, served as a mentor at the hackathon. He said he wasn’t representing his employer, but he used his professional experiences to push groups to think about the potential customer. “They have a good idea and are excited about it, but they haven’t thought about who is paying for it,” he said.
Zen Chu, a senior lecturer in health-care innovation and entrepreneur-in-residence at MIT, and one of the founders of Hacking Medicine, said more than a dozen startups conceived since the first hackathon, in 2011, are still in operation. Some received venture-capital funding.
The upsides of hackathons were made clear to Sharon Moalem, a physician who studies rare diseases. He had spent years developing a mobile app that can take pictures of faces to help diagnose rare genetic conditions, but was stumped on how to give the images a standard size scale to make comparisons. At the hackathon, Dr. Moalem said he was approached by an MIT student who suggested sticking a coin on the subjects’ forehead. Since quarters have a standard measurement, it “creates a scale,” said Dr. Moalem.
Dr. Moalem said he had never considered such a simple, elegant solution. The team went on to write code to help standardize facial measurements based on the dimensions of a coin and a credit card.
“Sometimes when you are too close to something, you stop seeing solutions, you only see problems,” Dr. Moalem said. “I needed to step outside my own silo.”

Facebook’s Connectivity Lab will develop advanced technology to provide internet across the world


and at GigaOm: “The Internet.org initiative will rely on a new team at Facebook called the Connectivity Lab, based at the company’s Menlo Park campus, to develop technology on the ground, in the air and in space, CEO Mark Zuckerberg announced Thursday. The team will develop technology like drones and satellites to expand access to the internet across the world.
“The team’s approach is based on the principle that different sized communities need different solutions and they are already working on new delivery platforms—including planes and satellites—to provide connectivity for communities with different population densities,” a post on Internet.org says.
Internet.org, which is backed by companies like Facebook, Samsung and Qualcomm, wants to provide internet to the two thirds of the world that remains disconnected due to cost, lack of infrastructure or remoteness. While many companies are  developing business models and partnerships in areas that lack internet, the Connectivity Lab will focus on sustainable technology that will transmit the signals. Facebook envisions using drones that could fly for months to connect suburban areas, while more rural areas would rely on satellites. Both would use infrared lasers to blanket whole areas with connectivity.
Members of the Connectivity Lab have backgrounds at NASA’s Jet Propulsion Laboratory, NASA’s Ames Research Center and the National Optical Astronomy Observatory. Facebook also confirmed today that it acquired five employees from Ascenta, a U.K.-based company that worked on the Zephyr–a solar-powered drone capable of flying for two weeks straight.
The lab’s work will build on work the company has already done in the Philippines and Paraguay, Zuckerberg said in a Facebook post. And, like the company’s Open Compute project, there is a possibility that the lab will seek partnerships with outside countries once the bulk of the technology has been developed.”

Why Are Rich Countries Democratic?


Ricardo Hausmann at Project Syndicate: “When Adam Smith was 22, he famously proclaimed that, “Little else is requisite to carry a state to the highest degree of opulence from the lowest barbarism, but peace, easy taxes, and a tolerable administration of justice: all the rest being brought about by the natural course of things.” Today, almost 260 years later, we know that nothing could be further from the truth.
The disappearance of Malaysia Airlines Flight 370 shows how wrong Smith was, for it highlights the intricate interaction between modern production and the state. To make air travel feasible and safe, states ensure that pilots know how to fly and that aircraft pass stringent tests. They build airports and provide radar and satellites that can track planes, air traffic controllers to keep them apart, and security services to keep terrorists on the ground. And, when something goes wrong, it is not peace, easy taxes, and justice that are called in to assist; it is professional, well-resourced government agencies.
All advanced economies today seem to need much more than the young Smith assumed. And their governments are not only large and complex, comprising thousands of agencies that administer millions of pages of rules and regulations; they are also democratic – and not just because they hold elections every so often. Why?
By the time he published The Wealth of Nations, at age 43, Smith had become the first complexity scientist. He understood that the economy was a complex system that needed to coordinate the work of thousands of people just to make things as simple as a meal or a suit.
But Smith also understood that while the economy was too intricate to be organized by anybody, it has the capacity to self-organize. It possesses an “invisible hand,” which operates through market prices to provide an information system that can be used to calculate whether using resources for a given purpose is worthwhile – that is, profitable.
Profit is an incentive system that leads firms and individuals to respond to the information provided by prices. And capital markets are a resource-mobilization system that provides money to those companies and projects that are expected to be profitable – that is, the ones that respond adequately to market prices.
But modern production requires many inputs that markets do not provide. And, as in the case of airlines, these inputs – rules, standards, certifications, infrastructure, schools and training centers, scientific labs, security services, among others – are deeply complementary to the ones that can be procured in markets. They interact in the most intricate ways with the activities that markets organize.
So here’s the question: Who controls the provision of the publicly provided inputs? The prime minister? The legislature? Which country’s top judges have read the millions of pages of legislation or considered how they complement or contradict each other, much less applied them to the myriad different activities that comprise the economy? Even a presidential executive cannot be fully aware of the things that are done or not done by the thousands of government agencies and how they affect each part of society.
This is an information-rich problem, and, like the social-coordination challenge that the market addresses, it does not allow for centralized control. What is needed is something like the invisible hand of the market: a mechanism for self-organization. Elections clearly are not enough, because they typically occur at two- or four-year intervals and collect very little information per voter.
Instead, successful political systems have had to create an alternative invisible hand – a system that decentralizes the power to identify problems, propose solutions, and monitor performance, such that decisions are made with much more information.
To take just one example, the United States’ federal government accounts for just 537 of the country’s roughly 500,000 elected positions. Clearly, there is much more going on elsewhere.
The US Congress has 100 senators with 40 aides each, and 435 representatives with 25 aides each. They are organized into 42 committees and 182 subcommittees, meaning that there are 224 parallel conversations going on. And this group of more than 15,000 people is not alone. Facing them are some 22,000 registered lobbyists, whose mission is (among other goals) to sit down with legislators and draft legislation.
This, together with a free press, is part of the structure that reads the millions of pages of legislation and monitors what government agencies do and do not do. It generates the information and the incentives to respond to it. It affects the allocation of budgetary resources. It is an open system in which anybody can create news or find a lobbyist to make his case, whether it is to save the whales or to eat them.
Without such a mechanism, the political system cannot provide the kind of environment that modern economies need. That is why all rich countries are democracies, and it is why some countries, like my own (Venezuela), are becoming poorer. Although some of these countries do hold elections, they tend to stumble at even the simplest of coordination problems. Lining up to vote is no guarantee that citizens will not also have to line up for toilet paper.”

Ten Innovations to Compete for Global Innovation Award


Making All Voices Count: “The Global Innovation Competition was launched at the Open Government Partnership Summit in November, 2013 and set out to scout the globe for fresh ideas to enhance government accountability and boost citizen engagement. The call was worldwide and in response, nearly 200 innovative ideas were submitted. After a process of public voting and peer review, these have been reduced to ten.
Below, we highlight the innovations that will now compete for a prize of £65,000 plus six months mentorship at the Global Innovation Week March 31 – April 4, 2014 in Kenya.
The first seven emerged from a process of peer review and the following three were selected by the Global Innovation Jury.

An SMS gateway, connected to local hospitals and the web, to channel citizens’ requests for pregnancy services. At risk women, in need of information such as hospital locations and general advice, will receive relevant and targeted updates utilising both an SMS and a GIS-based system.  The aim is to reduce maternal mortality by targeting at risk women in poorer communities in Indonesia.

“One of the causes of high maternal mortality rate in Indonesia is late response in childbirth treatment and lack of pregnancy care information.”

This project, led by a civil servant, aims to engage citizens in Pakistan in service delivery governance. The project aims to enable and motivate citizens to collect, analyze and disseminate service delivery performance data in order to drive performance and help effective decision making.

“BSDU will serve as a model of better management aided by the citizens, for the citizens.”

A Geographic Information System that gives Indonesian citizens access to information regarding government funded projects. The idea is to enable and motivate citizens to compare a project’s information with its real-world implementation and to provide feedback on this. The ultimate aim is to fight corruption in the public sector by making it easier for citizens to monitor, and provide feedback on, government-funded projects.

“On-the-map information about government-funded projects, where citizens are able to submit their opinions, should became a global standard in budget transparency!”

A digital payment system in South Africa that rewards citizens who participate in activities such as waste separation and community gardening. Citizens are able to ‘spend’ rewards on airtime, pre-paid electricity and groceries. By rewarding social volunteers this project aims to boost citizen engagement, build trust and establish the link between government and citizen actors.

“GEM offers a direct channel for communication and rewards between governments and citizens.”

An app created by a team of software developers to provide Ghanaian citizens with information about the oil and gas industry, with the aim of raising awareness of the revenue generated and to spark debate about how this could be used to improve national development.

“The idea is to bring citizens, the oil and gas companies and the government all onto one platform.”

Ghana Petrol Watch seeks to deliver basic facts and figures associated with oil and gas exploration to the average Ghanaian. The solution employs mobile technology to deliver this information. The audience can voice their concerns as comments on the issue via replies to the SMS. These would then be published on the web portal for further exposure and publicity.

“The information on the petroleum industry is publicly available, but not readily accessible and often does not reach the grassroots community in an easily comprehensible manner.”

A common platform to be implemented in Khulna City, Bangladesh, where citizens and elected officials will interact on budget, expenditure and information.

“The concept of citizen engagement for the fulfillment of pre-election commitment is an innovation in establishing governance.”

The aim of this project is an increase in child engagement in governmental budgeting and policy formulation in Mwanza City, Tanzania. This project was selected as a wildcard by the Global Innovation Jury.

“In many projects I have seen, children are always the perceived beneficiaries, rarely do you see innovations where children are active participants in achieving a goal in their society. It was great to see children as active contributors to their own discourse.” – Jury Member, Shikoh Gitau.

A ‘watchdog’ newsletter in Kenya focusing on monitoring the actions of officials with the aim of educating, empowering and motivating citizens to hold their leaders to account. This project was selected as a wildcard by the Global Innovation Jury.

“We endeavor to bridge the information gap in northern Kenya by giving voice to the voiceless and also highlighting their challenges. The aim is an increase in the educational level of the people through information.”

Citizen Desk is an open-source tool that combines the ability of citizens to share eyewitness reports with the public need for verified information in real time. Citizen Desk lets citizen journalists file reports via SMS or social media, with no need for technical training. This project was selected as a wildcard by the Global Innovation Jury.

“It has become evident for some time now that good technical innovation must rest on a strong bedrock of social and political activity, on the ground, deeply in touch with local conditions, and sometimes in the face of power and privilege.” – Jury Member Bright Simons.”