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….”
Start-Up Seeks to Provide Inexpensive Satellite Images for Nonprofits
Nicole Wallace at the Chronicle of Philanthropy: “Planet Labs, a Silicon Valley start-up, has ambitious plans to bring down the sky-high cost of satellite imagery and significantly increase the recording frequency of such photos—all with the goal of improving life down here on earth. To make that happen, the company plans to set up a nonprofit arm, Planet.org, to provide satellite images to charities and help them learn how to use the cutting-edge technology to fulfill their missions….
Satellite imagery is expensive, and the photos aren’t updated very often. The interval between image recordings can be from several weeks to more than a year. The satellites themselves are often the size of a school bus, may take as long as a decade to build, and cost hundreds of millions of dollars.
Planet Labs is trying to upend that model. Rather than building custom parts, the company uses cutting-edge—but readily available—electronics and sensors to build shoebox-size microsatellites. The tiny devices have been launched from the International Space State and from unmanned rockets. Modeling its approach on the software industry, Planet Labs redesigns its satellites every three months or so, incorporating new information it learns by testing them in space.
The plan is to encircle the globe with a network of microsatellites that will scan the earth’s surface every day. So far, Planet Labs has launched 71 of the devices. It expects to launch 100 to 150 more satellites to meet a goal of achieving daily imaging in the next 12 to 18 months.
The prospect of cheaper, more up-to-date satellite imagery excites nonprofit technology experts.
Because of the cost, only a handful of large charities have been able to use satellite imagery in their work, says Jim Fruchterman, chief executive of Benetech, a nonprofit technology group in Palo Alto, Calif. He points to Amnesty International’s use of remote imagery to document human-rights abuses in Darfur and Syria as an example.
Lowering the price of the technology will increase the number of nonprofits that can use the data, and more-frequent images will expand the ways groups can use the information, he says. Human-rights groups could, in some cases, use the images to confirm or refute reports they receive, almost in real time, says Mr. Fruchterman….
Some of the ways that nonprofits will probably use the satellite data won’t be that different from applications by the company’s commercial customers, says Mr. Schingler.
One case in point, he says, is agriculture. Many farmers in developed countries already use satellite imagery to help them plan when they should plant and irrigate, says Mr. Schingler. With wider access to remote imagery, he says, nonprofits could help distribute the same information to farmers in developing countries….”
How US state governments can improve customer service
New report by the McKinsey Center for Government:”Technological advances such as smartphones and apps have opened new frontiers of convenience, speed, and transparency for private-sector customers. At the same time, tightening government budgets are making it difficult for the public sector to deliver services of a similarly high quality. With consumer expectations only increasing, it’s perhaps no surprise that interactions with government agencies frustrate and disappoint many citizens. Yet when we sought to find out exactly why, we discovered cause for encouragement: issues that frustrate citizens are solvable, and the frustrations mostly revolve around the way services are provided rather than the services themselves. In fact, we believe governments can significantly improve the service experience while lowering costs and increasing employee engagement and satisfaction.
During the past year, we measured the satisfaction of citizens by surveying approximately 17,000 people across 15 US states. …We found that the satisfaction of citizens with state services varied considerably, ranging from 22 for the highest-performing state to –36 for the lowest. Overall, the CSS was positive for eight states and negative for seven. Several common themes emerged:
- Speed, simplicity, and efficiency make citizens happier. Participants expressed stronger negative feelings about specific attributes of service delivery than about state services overall. They were dissatisfied with the slowness of service delivery, its complexity, and the effort required to navigate through processes.
- Satisfaction is often lower for more essential services. Public housing, food stamps, unemployment benefits, and other more essential services received lower satisfaction scores than more discretionary services (such as state parks or cultural facilities) did. This stood out in part because, among all respondents, the average CSS across the 15 states was positive for most services surveyed.
- People who don’t use a service are often more skeptical about its quality. There’s a perception gap between users and nonusers of state services. The CSS for citizens who used a state service within the past 12 months was, on average, 12 percentage points higher than the score for participants who hadn’t done so but still considered themselves informed about its quality. This perception gap was smallest for public safety (1 percent) and largest for public housing (52 percent), followed by Medicaid (46 percent) and food stamps (45 percent).
- Citizens are less satisfied with government services than with private-sector services. Government services fared more poorly than private-sector services, with some notable exceptions: state parks, cultural facilities, sporting licenses, public safety, and environmental protection. In fact, the CSS for private-sector services was 2.5 times higher than the score for government ones. The more favorable views about well-regarded service providers, such as e-commerce sites, may not be surprising. However, the fact that citizens were less satisfied with many government services than with cable- or satellite-TV services should concern government leaders.
- Most citizens prefer to interact with government online. In response to follow-up questions, recent users of services from the department of motor vehicles (DMV) in their states said that the ability to complete processes online was their top priority. The availability of more and clearer information online ranked third. The most satisfied DMV users had no up-front interactions with staff, and satisfaction decreased as citizens interacted with more channels, including call centers and walk-in centers….
See :McKinsey Center for Government report Putting Citizens First: How to improve citizens’ experience and satisfaction with government services.”
USDA Opens VIVO Research Networking Tool to Public
Sharon Durham at the USDA: “VIVO, a Web application used internally by U.S. Department of Agriculture (USDA) scientists since 2012 to allow better national networking across disciplines and locations, is now available to the public. USDA VIVO will be a “one-stop shop” for Federal agriculture expertise and research outcomes.”USDA employs over 5,000 researchers to ensure our programs are based on sound public policy and the best available science,” said USDA Chief Scientist and Undersecretary for Research, Education, and Economics Dr. Catherine Woteki. “USDA VIVO provides a powerful Web search tool for connecting interdisciplinary researchers, research projects and outcomes with others who might bring a different approach or scope to a research project. Inviting private citizens to use the system will increase the potential for collaboration to solve food- and agriculture-related problems.”
The idea behind USDA VIVO is to link researchers with peers and potential collaborators to ignite synergy among our nation’s best scientific minds and to spark unique approaches to some of our toughest agricultural problems. This efficient networking tool enables scientists to easily locate others with a particular expertise. VIVO also makes it possible to quickly identify scientific expertise and respond to emerging agricultural issues, like specific plant and animal disease or pests.
USDA’s Agricultural Research Service (ARS), Economic Research Service, National Institute of Food and Agriculture, National Agricultural Statistics Service and Forest Service are the first five USDA agencies to participate in VIVO. The National Agricultural Library, which is part of ARS, will host the Web application. USDA hopes to add other agencies in the future.
VIVO was in part developed under a $12.2 million grant from the National Center for Research Resources, part of the National Institutes of Health (NIH). The grant, made under the 2009 American Recovery and Reinvestment Act, was provided to the University of Florida and collaborators at Cornell University, Indiana University, Weill Cornell Medical College, Washington University in St. Louis, the Scripps Research Institute and the Ponce School of Medicine.
VIVO’s underlying database draws information about research being conducted by USDA scientists from official public systems of record and then makes it uniformly available for searching. The data can then be easily leveraged in other applications. In this way, USDA is also making its research projects and related impacts available to the Federal RePORTER tool, released by NIH on September 22, 2014. Federal RePORTER is part of a collaborative effort between Federal entities and other research institutions to create a repository that will be useful to assess the impact of Federal research and development investments.”
The idea behind USDA VIVO is to link researchers with peers and potential collaborators to ignite synergy among our nation’s best scientific minds and to spark unique approaches to some of our toughest agricultural problems. This efficient networking tool enables scientists to easily locate others with a particular expertise. VIVO also makes it possible to quickly identify scientific expertise and respond to emerging agricultural issues, like specific plant and animal disease or pests.
USDA’s Agricultural Research Service (ARS), Economic Research Service, National Institute of Food and Agriculture, National Agricultural Statistics Service and Forest Service are the first five USDA agencies to participate in VIVO. The National Agricultural Library, which is part of ARS, will host the Web application. USDA hopes to add other agencies in the future.
VIVO was in part developed under a $12.2 million grant from the National Center for Research Resources, part of the National Institutes of Health (NIH). The grant, made under the 2009 American Recovery and Reinvestment Act, was provided to the University of Florida and collaborators at Cornell University, Indiana University, Weill Cornell Medical College, Washington University in St. Louis, the Scripps Research Institute and the Ponce School of Medicine.
VIVO’s underlying database draws information about research being conducted by USDA scientists from official public systems of record and then makes it uniformly available for searching. The data can then be easily leveraged in other applications. In this way, USDA is also making its research projects and related impacts available to the Federal RePORTER tool, released by NIH on September 22, 2014. Federal RePORTER is part of a collaborative effort between Federal entities and other research institutions to create a repository that will be useful to assess the impact of Federal research and development investments.”
Hungry Planet: Can Big Data Help Feed 9 Billion Humans?
at NBC News: “With a population set to hit 9 billion human beings by 2050, the world needs to grow more food —without cutting down forests and jungles, which are the climate’s huge lungs.
The solution, according to one soil management scientist, is Big Data.
Kenneth Cassman, an agronomist at the University of Nebraska, Lincoln, recently unveiled a new interactive mapping tool that shows in fine-grain detail where higher crop yields are possible on current arable land.
“By some estimates, 20 to 30 percent of greenhouse gas emissions are associated with agriculture and of that a large portion is due to conversion of natural systems like rainforests or grassland savannahs to crop production, agriculture,” Cassman told NBC News at a conference in suburban Seattle.
The only practical way to stop the conversion of wild lands to farmland is grow more food on land already dedicated to agriculture, he said. Currently, the amount of farmland used to produce rice, wheat, maize and soybean, he noted, is expanding at a rate of about 20 million acres a year.
Cassman and colleagues unveiled the Global Yield Gap and Water Productivity Atlas in October at the Water for Food conference. The atlas was six years and $6 million in the making and contains site-specific data on soil, climate and cropping systems to determine potential yield versus actual yield farm by farm in nearly 20 countries around the world. Projects are ongoing to secure data for 30 more countries….
A key initiative going forward is to teach smallholder farmers how to use the atlas, Cassman said. Until now, the tool has largely rested with agricultural researchers who have validated its promise of delivering information that can help grow more food on existing farmland….
Innovating Practice in a Culture of Expertise
Aleem Walji at SSI Review: “When I joined the World Bank five years ago to lead a new innovation practice, the organization asked me to help expand the space for experimentation and learning with an emphasis on emergent technologies. But that mandate was intimidating and counter-intuitive in an “expert-driven” culture. Experts want detailed plans, budgets, clear success indicators, and minimal risk. But innovation is about managing risk and navigating uncertainty intelligently. You fail fast and fail forward. It has been a step-by-step process, and the journey is far from over, but the World Bank today sees innovation as essential to achieving its mission.
It’s taught me a lot about seeding innovation in a culture of expertise, including phasing change across approaches to technology, teaming, problem solving, and ultimately leadership.
Innovating technologies: As a newcomer, my goal was not to try to change the World Bank’s culture. I was content to carve out a space where my team could try new things we couldn’t do elsewhere in the institution, learn fast, and create impact. Our initial focus was leveraging technologies with approaches that, if they took root, could be very powerful.
Over the first 18 to 24 months, we served as an incubator for ideas and had a number of successes that built on senior management’s support for increased access to information. The Open Data Initiative, for example, made our trove of information on countries, people, projects, and programs widely available and searchable. To our surprise, people came in droves to access it. We also launched the Mapping for Results initiative, which mapped project results and poverty data to show the relationship between where we lend and where the poor live, and the results of our work. These programs are now mainstream at the World Bank and have penetrated other development institutions….
Innovating teams: The lab idea—phase two—would require collaboration and experimentation in an unprecedented way. For example, we worked with other parts of the World Bank and a number of outside organizations to incubate the Open Development Technology Alliance, now part of the digital engagement unit of the World Bank. It worked to enhance accountability, and improve the delivery and quality of public services through technology-enabled citizen engagement such as using mobile phones, interactive mapping, and social media to draw citizens into collective problem mapping and problem solving….
Innovating problem solving: At the same time, we recognized that we face some really complex problems that the World Bank’s traditional approach of lending to governments and supervising development projects is not solving. For this, we needed another type of lab that innovated the very way we solve problems. We needed a deliberate process for experimenting, learning, iterating, and adapting. But that’s easier said than done. At our core, we are an expert-driven organization with know-how in disciplines ranging from agricultural economics and civil engineering to maternal health and early childhood development. Our problem-solving architecture is rooted in designing technical solutions to complicated problems. Yet the hardest problems in the world defy technical fixes. We work in contexts where political environments shift, leaders change, and conditions on the ground constantly evolve. Problems like climate change, financial inclusion, food security, and youth unemployment demand new ways of solving old problems.
The innovation we most needed was innovation in the leadership architecture of how we confront complex challenges. We share knowledge and expertise on the “what” of reform, but the “how” is what we need most. We need to marry know-how with do-how. We need multiyear, multi-stakeholder, and systems approaches to solving problems. We need to get better at framing and reframing problems, integrative thinking, and testing a range of solutions. We need to iterate and course-correct as we learn what works and doesn’t work in which context. That’s where we are right now with what we call “integrated leadership learning innovation”—phase four. It’s all about shaping an innovative process to address complex problems….”
Measuring the Impact of Public Innovation in the Wild
Beth Noveck at Governing: “With complex, seemingly intractable problems such as inequality, climate change and affordable access to health care plaguing contemporary society, traditional institutions such as government agencies and nonprofit organizations often lack strategies for tackling them effectively and legitimately. For this reason, this year the MacArthur Foundation launched its Research Network on Opening Governance.
The Network, which I chair and which also is supported by Google.org, is what MacArthur calls a “research institution without walls.” It brings together a dozen researchers across universities and disciplines, with an advisory network of academics, technologists, and current and former government officials, to study new ways of addressing public problems using advances in science and technology.
Through regular meetings and collaborative projects, the Network is exploring, for example, the latest techniques for more open and transparent decision-making, the uses of data to transform how we govern, and the identification of an individual’s skills and experiences to improve collaborative problem-solving between government and citizen.
One of the central questions we are grappling with is how to accelerate the pace of research so we can learn better and faster when an innovation in governance works — for whom, in which contexts and under which conditions. With better methods for doing fast-cycle research in collaboration with government — in the wild, not in the lab — our hope is to be able to predict with accuracy, not just know after the fact, whether innovations such as opening up an agency’s data or consulting with citizens using a crowdsourcing platform are likely to result in real improvements in people’s lives.
An example of such an experiment is the work that members of the Network are undertaking with the Food and Drug Administration. As one of its duties, the FDA manages the process of pre-market approval of medical devices to ensure that patients and providers have timely access to safe, effective and high-quality technology, as well as the post-market review of medical devices to ensure that unsafe ones are identified and recalled from the market. In both of these contexts, the FDA seeks to provide the medical-device industry with productive, consistent, transparent and efficient regulatory pathways.
With thousands of devices, many of them employing cutting-edge technology, to examine each year, the FDA is faced with the challenge of finding the right internal and external expertise to help it quickly study a device’s safety and efficacy. Done right, lives can be saved and companies can prosper from bringing innovations quickly to market. Done wrong, bad devices can kill…”
Off the map
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….”
8 ideas for the future of cities
TED: “In 2012, the TED Prize was awarded to an idea: The City2.0, a place to celebrate actions taken by citizens around the world to make their cities more livable, beautiful and sustainable. This week, The City2.0 website evolves. On the relaunched TEDCity2.org, you’ll find great talks on topics like housing, education and food, and how they relate to life in the bustling metropolis. You’ll find video explorations of 10 award-winning local projects that received funding through this TED Prize wish, and resources for those hoping to spark change in their own cities. The site will also be the home of all future TEDCity2.0 projects. In other words, it’s an online haven for everyone who wants to create the city of the future.
Below, a sampling of the great ideas you’ll find on TEDCity2.org. Enjoy, as most of these have never been seen on TED.com before….”
Chicago uses big data to save itself from urban ills
Aviva Rutkin in the New Scientist: “THIS year in Chicago, some kids will get lead poisoning from the paint or pipes in their homes. Some restaurants will cook food in unsanitary conditions and, here and there, a street corner will be suddenly overrun with rats. These kinds of dangers are hard to avoid in a city of more than 2.5 million people. The problem is, no one knows for certain where or when they will pop up.
The Chicago city government is hoping to change that by knitting powerful predictive models into its everyday city inspections. Its latest project, currently in pilot tests, analyses factors such as home inspection records and census data, and uses the results to guess which buildings are likely to cause lead poisoning in children – a problem that affects around 500,000 children in the US each year. The idea is to identify trouble spots before kids are exposed to dangerous lead levels.
“We are able to prevent problems instead of just respond to them,” says Jay Bhatt, chief innovation officer at the Chicago Department of Public Health. “These models are just the beginning of the use of predictive analytics in public health and we are excited to be at the forefront of these efforts.”
Chicago’s projects are based on the thinking that cities already have what they need to raise their municipal IQ: piles and piles of data. In 2012, city officials built WindyGrid, a platform that collected data like historical facts about buildings and up-to-date streams such as bus locations, tweets and 911 calls. The project was designed as a proof of concept and was never released publicly but it led to another, called Plenario, that allowed the public to access the data via an online portal.
The experience of building those tools has led to more practical applications. For example, one tool matches calls to the city’s municipal hotline complaining about rats with conditions that draw rats to a particular area, such as excessive moisture from a leaking pipe, or with an increase in complaints about garbage. This allows officials to proactively deploy sanitation crews to potential hotspots. It seems to be working: last year, resident requests for rodent control dropped by 15 per cent.
Some predictions are trickier to get right. Charlie Catlett, director of the Urban Center for Computation and Data in Chicago, is investigating an old axiom among city cops: that violent crime tends to spike when there’s a sudden jump in temperature. But he’s finding it difficult to test its validity in the absence of a plausible theory for why it might be the case. “For a lot of things about cities, we don’t have that underlying theory that tells us why cities work the way they do,” says Catlett.
Still, predictive modelling is maturing, as other cities succeed in using it to tackle urban ills….Such efforts can be a boon for cities, making them more productive, efficient and safe, says Rob Kitchin of Maynooth University in Ireland, who helped launched a real-time data site for Dublin last month called the Dublin Dashboard. But he cautions that there’s a limit to how far these systems can aid us. Knowing that a particular street corner is likely to be overrun with rats tomorrow doesn’t address what caused the infestation in the first place. “You might be able to create a sticking plaster or be able to manage it more efficiently, but you’re not going to be able to solve the deep structural problems….”