Adam Greenfield at the Guardian: “We are lucky enough to live at a time in which a furious wave of innovation is breaking across the cities of the global south, spurred on both by the blistering pace of urbanisation, and by the rising popular demand for access to high-quality infrastructure that follows in its wake.
From Porto Alegre’s participatory budgeting and the literally destratifying cable cars of Caracas, to Nairobi’s “digital matatus” and the repurposed bus-ferries of Manila, the communities of the south are responsible for an ever-lengthening parade of social and technical innovations that rival anything the developed world has to offer for ingenuity and practical utility.
Nor is India an exception to this tendency. Transparent Chennai’s participatory maps and the work of the Mumbai-based practices CRIT and URBZ are better-known globally, but it is the tactics of daily survival devised by the unheralded multitude that really inspire urbanists. These techniques maximise the transactive capacity of the urban fabric, wrest the very last increment of value from the energy invested in the production of manufactured goods, and allow millions to eke a living, however precarious, from the most unpromising of circumstances. At a time of vertiginously spiralling economic and environmental stress globally, these are insights many of us in the developed north would be well advised to attend to – and by no means merely the poorest among us.
But, for whatever reason, this is not the face of urban innovation official India wants to share with the world – perhaps small-scale projects or the tactics of the poor simply aren’t dramatic enough to convey the magnitude and force of national ambition. We hear, instead, of schemes like Palava City, a nominally futuristic vision of digital technology minutely interwoven into the texture of everday urban life. Headlines were made around the planet this year when Narendra Modi’s government announced it had committed to building no fewer than 100 similarly “smart” cities….(More).”
Does Real-Time Feedback On Electricity Use Really Change Our Behavior?
Jessica Leber at Co.Exist: “Is information power? Or more to the point, does information about our energy usage help us consume less power?
Even though there are a growing number of smart devices and systems on the market designed to give feedback about energy and water usage, in hopes of nudging us to cut back, studies have shown mixed evidence as to whether they actually work in changing long-term behavior.
In September 2010, the developer of a new LEED Gold apartment building in Manhattan approached Columbia University’s Center for Research on Environmental Decisions with the idea of studying whether they could reduce energy use by giving occupants devices that gave them real-time feedback on their electricity demand. They chose the Modlet, a device made by ThinkEco, that monitors energy use at each outlet, appliance by appliance.
The results of the study, published recently as a working paper by the National Bureau of Economic Research, show that getting people to change their behavior is more complicated than it seems….(More).”
How Government Can Unlock Economic Benefits from Open Data
Zillow is a prime example of how open data creates economic value. The Seattle-based company has grown rapidly since its launch in 2006, generating more than $78 million in revenue in its last financial quarter and employing more than 500 workers. But real estate firms aren’t the only businesses benefiting from data collected and published by government.
GovLab, a research laboratory run by New York University, publishes the Open Data 500, a list of companies that benefit from open data produced by the federal government. The list contains more than 15 categories of businesses, ranging from health care and education to energy, finance, legal and the environment. And the data flows from all the major agencies, including NASA, Defense, Transportation, Homeland Security and Labor….
Zillow’s road to success underscores the challenges that lie ahead if local government is going to grab its share of open data’s economic bonanza. One of the company’s biggest hurdles was to create a system that could integrate government data from thousands of databases in county government. “There’s no standard format, which is very frustrating,” Stan Humphries, Zillow’s chief economist, told Computerworld.com. “It’s up to us to figure out 3,000 different ways to ingest data and make sense of it…. More at GovTech”
Nominet Trust – celebrating 100 life-changing applications of digital technology
Charles Leadbeater in the Financial Times: “The Nominet Trust, the corporate foundation of Nominet, the organisation which looks after the UK’s system of website addresses, has been scouring the world for innovations in which people use digital technologies to tackle social challenges. The Trust wants to inspire and back UK innovators to realise the still largely untapped social potential of digital technologies, to provide new ways for people to learn, look after their health, find cleaner forms of energy and create new economic activity.
We have just announced the second year of the Nominet Trust 100, our annual celebration of such global digital social innovation. This showcases the incessant, unfolding waves of innovation rippling around the world as cheaper and more reliable digital technologies cross-fertilise and multiply. Such innovation waves build from far off before rushing forward with immense power. One prime example is 3D printing, which is about to become a practical tool rather than an esoteric toy of the rich or hip….
Citizen science
Last year’s NT100 featured Cell Slider, an app from Cancer Research UK that harnessed the power of “citizen scientists” to classify images of cells, helping researchers move more quickly towards finding a cure for cancer. Cellslider’s citizen-science approach meant that in just three months, one million images were classified by people using the app. Reverse the Odds reached that milestone in just two weeks.
Combining state-of-the-art game design, expertise in data analysis and remarkable production values, Reverse the Odds is a mobile puzzle where players are challenged to save a race of adorable minions within a magical world. The mini-puzzles are enough to engage thousands of players but in helping these colourful creatures, players are actually analysing real cancer data, which helps the scientists at Cancer Research UK to move more quickly to finding cures. The charity has terabytes of images of cells that can only be analysed by humans — computers can’t identify the patterns required.
Fighting harassment
HarassMap is an Egyptian innovation to crowd-map sexual harassment, in a country where 83 per cent of women, and 98 per cent of foreign women, have experienced sexual abuse and assault.
The NGO, founded by Rebecca Chiao and three other women in 2010, uses the same technology as Ushahidi did in mapping violence in Kenya’s 2007 elections. Anyone can report and detail each instance of an attack, filed by category, from ogling and catcalling, to indecent exposure and rape, using their mobile phone to upload information to a database which then generates the map.
Victims get an instant, automated message of support including where to get legal aid, psychological counselling, learn self-defence and how to make a police report. The data generated allows the NGO to properly measure the problem of sexual harassment for the first time and help engineer a shift in how the Egyptian media reports sexual attacks. It also gives their network of 1,500 trained volunteers the ammunition to make sexual abuse socially unacceptable by challenging community norms, using hard facts.
HarassMap has a distressingly large potential market. The group has given training and technical assistance to activists from 28 other countries to run similar projects, everywhere from Palestine and Yemen to Bangladesh, Pakistan, Syria, India and the UK….”
World Development Report 2015: Mind, Society, and Behavior
World Development Report (WorldBank): “Every policy relies on explicit or implicit assumptions about how people make choices. Those assumptions typically rest on an idealized model of how people think, rather than an understanding of how everyday thinking actually works. This year’s World Development Report argues that a more realistic account of decision-making and behavior will make development policy more effective. The Report emphasizes what it calls “the three marks of everyday thinking.” In everyday thinking, people use intuition much more than careful analysis. They employ concepts and tools that prior experience in their cultural world has made familiar. And social emotions and social norms motivate much of what they do. These insights together explain the extraordinary persistence of some social practices, and rapid change in others. They also offer new targets for development policy. A richer understanding of why people save, use preventive health care, work hard, learn, and conserve energy provides a basis for innovative and inexpensive interventions. The insights reveal that poverty not only deprives people of resources but is an environment that shapes decision making, a fact that development projects across the board need to recognize. The insights show that the psychological foundations of decision making emerge at a young age and require social support. The Report applies insights from modern behavioral and social sciences to development policies for addressing poverty, finance, productivity, health, children, and climate change. It demonstrates that new policy ideas based on a richer view of decision-making can yield high economic returns. These new policy targets include: • the choice architecture (for example, the default option) • the scope for social rewards • frames that influence whether or not a norm is activated • information in the form of rules of thumb • opportunities for experiences that change mental models or social norms Finally, the Report shows that small changes in context have large effects on behavior. As a result, discovering which interventions are most effective, and with which contexts and populations, inherently requires an experimental approach. Rigor is needed for testing the processes for delivering interventions, not just the products that are delivered…”
Look to Government—Yes, Government—for New Social Innovations
Paper by Christian Bason and Philip Colligan: “If asked to identify the hotbed of social innovation right now, many people would likely point to the new philanthropy of Silicon Valley or the social entrepreneurship efforts supported by Ashoka, Echoing Green, and Skoll Foundation. Very few people, if any, would mention their state capital or Capitol Hill. While local and national governments may have promulgated some of the greatest advances in human history — from public education to putting a man on the moon — public bureaucracies are more commonly known to stifle innovation.
Yet, around the world, there are local, regional, and national government innovators who are challenging this paradigm. They are pioneering a new form of experimental government — bringing new knowledge and practices to the craft of governing and policy making; drawing on human-centered design, user engagement, open innovation, and cross-sector collaboration; and using data, evidence, and insights in new ways.
Earlier this year, Nesta, the UK’s innovation foundation (which Philip helps run), teamed up with Bloomberg Philanthropies to publish i-teams, the first global review of public innovation teams set up by national and city governments. The study profiled 20 of the most established i-teams from around the world, including:
- French Experimental Fund for Youth, which has supported more than 554 experimental projects (such as one that reduces school drop-out rates) that have benefited over 480,000 young people;
- Nesta’s Innovation Lab, which has run 70 open innovation challenges and programs supporting over 750 innovators working in fields as diverse as energy efficiency, healthcare, and digital education;
- New Orleans’ Innovation and Delivery team, which achieved a 19% reduction in the number of murders in the city in 2013 compared to the previous year.
How are i-teams achieving these results? The most effective ones are explicit about the goal they seek – be it creating a solution to a specific policy challenge, engaging citizenry in behaviors that help the commonweal, or transforming the way government behaves. Importantly, these teams are also able to deploy the right skills, capabilities, and methods for the job.
In addition, i-teams have a strong bias toward action. They apply academic research in behavioral economics and psychology to public policy and services, focusing on rapid experimentation and iteration. The approach stands in stark contrast to the normal routines of government.
Take for example, The UK’s Behavioural Insights Team (BIT), often called the Nudge Unit. It sets clear goals, engages the right expertise to prototype means to the end, and tests innovations rapidly in the field, to learn what’s not working and rapidly scales what is.
One of BIT’s most famous projects changed taxpayer behavior. BIT’s team of economists, behavioral psychologists, and seasoned government staffers came up with minor changes to tax letters, sent out by the UK Government, that subtlety introduced positive peer pressure. By simply altering the letters to say that most people in their local area had already paid their taxes, BIT was able to boost repayment rates by around 5%. This trial was part of a range of interventions, which have helped forward over £200 million in additional tax revenue to HM Revenue & Customs, the UK’s tax authority.
The Danish government’s internal i-team, MindLab (which Christian ran for 8 years) has likewise influenced citizen behavior….”
Cities Find Rewards in Cheap Technologies
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….”
A New Taxonomy of Smart City Projects
New paper by Guido Perboli et al: “City logistics proposes an integrated vision of freight transportation systems within urban area and it aims at the optimization of them as a whole in terms of efficiency, security, safety, viability and environmental sustainability. Recently, this perspective has been extended by the Smart City concept in order to include other aspects of city management: building, energy, environment, government, living, mobility, education, health and so on. At the best of our knowledge, a classification of Smart City Projects has not been created yet. This paper introduces such a classification, highlighting success factors and analyzing new trends in Smart City.”
Urban Observatory Is Snapping 9,000 Images A Day Of New York City
NYU’s Center for Urban Science and Progress has been running what’s likely the world’s first “urban observatory” of its kind for about a year. From atop a tall building in downtown Brooklyn (NYU won’t say its address, due to security concerns), two cameras—one regular one and one that captures infrared wavelengths—take panoramic images of lower and midtown Manhattan. One photo is snapped every 10 seconds. That’s 8,640 images a day, or more than 3 million since the project began (or about 50 terabytes of data).
“The real power of the urban observatory is that you have this synoptic imaging. By synoptic imaging, I mean these large swaths of the city,” says the project’s chief scientist Gregory Dobler, a former astrophysicist at Harvard University and the University of California, Santa Barbara who now heads the 15-person observatory team at NYU.
Dobler’s team is collaborating with New York City officials on the project, which is now expanding to set up stations that study other parts of Manhattan and Brooklyn. Its major goal is to discover information about the urban landscape that can’t be seen at other scales. Such data could lead to applications like tracking which buildings are leaking energy (with the infrared camera), or measuring occupancy patterns of buildings at night, or perhaps detecting releases of toxic chemicals in an emergency.
The video above is an example. The top panel cycles through a one-minute slice of observatory images. The bottom panel is an analysis of the same images in which everything that remains static in each image is removed, such as buildings, trees, and roads. What’s left is an imprint of everything in flux within the scene—the clouds, the cars on the FDR Drive, the boat moving down the East River, and, importantly, a plume of smoke that puffs out of a building.
“Periodically, a building will burp,” says Dobler. “It’s hard to see the puffs of smoke . . . but we can isolate that plume and essentially identify it.” (As Dobler has done by highlighting it in red in the top panel).
To the natural privacy concerns about this kind of program, Dobler emphasizes that the pictures are only from an 8 megapixel camera (the same found in the iPhone 6) and aren’t clear enough to see inside a window or make out individuals. As a further privacy safeguard, the images are analyzed to only look at “aggregate” measures—such as the patterns of nighttime energy usage—rather than specific buildings. “We’re not really interested in looking at a given building, and saying, hey, these guys are particular offenders,” he says (He also says the team is not looking at uses for the data in security applications.) However, Dobler was not able to answer a question as to whether the project’s partners at city agencies are able to access data analysis for individual buildings….”
On policy and delivery
Speech by Mike Bracken (gov.uk): “…most of the work the civil service does goes unseen, or at least unheralded. But whether it’s Ebola screens, student loans, renewing your car tax, or a thousand other things, that work is vital to everyone in the UK.
Often that work is harder than it needs to be.
I don’t think anyone disagrees that the civil service needs reform. It’s the nature of that reform I want to talk about today.
The Internet has changed everything. Digital is the technological enabler of this century. And, in any sector you care to name, it’s been the lifeblood of organisations that have embraced it, and a death sentence for those that haven’t. If you take away one thing today, please make it this: government is not immune to the seismic changes that digital technology has brought to bear.
The Internet is changing the organising principle of every industry it touches, mostly for the better: finance, retail, media, transport, energy. Some industries refuse to change their organising principle. The music industry was dominated by producers – the record labels – now it’s dominated by digital distribution – like Spotify and their ilk.
Others, like airlines, have rapidly changed how they work internally, and are organised radically differently in order to serve users in a digital age. British Airways used to have over 80 ticket types, with departments and hierarchies competing to attract users. Now it has a handful, and the organisation is digital first and much simpler. These changes are invisible to the majority, but that’s doesn’t make the changes any less significant.
Twenty five years into the era of digital transformation, the Internet has a 100% track record of success making industries simpler to users while forcing organisations to fundamentally change how they’re structured. These characteristics are not going away. Yet the effect on the civil service has been, until very recently, marginal.
This is because we deferred our digital development by grouping digital services into enormous, multi-year IT contracts, or what we refer to as ‘Big IT’. Or in short, we gave away our digital future to the IT crowd. While most large organisations reversed these arrangements we have only recently separated our future strategy – digital literacy and digital service provision – from the same contracts that handle commodity technology. By clinging to this model for 15 years, we have created a huge problem for everyone involved in delivery and policy.
Today I want to talk about two things.
The first is delivery, because I believe delivery to users, not policy, should be the organising principle of a reformed civil service.
And the second is skills, and why it’s time for the civil service to put digital skills at the heart of the machine….”