Article by William D. Eggers in Reason: “reCAPTCHA and Duolingo both represent a distinctly 21st-century form of distributed problem solving. These Internet-enabled approaches tend to be faster, far less expensive, and far more resilient than the heavyweight industrial-age methods of solving big social problems that we’ve grown accustomed to over the past century. They typically involve highly diverse resources-volunteer time, crowdfunding, the capabilities of multinational corporations, entrepreneurial capital, philanthropic funding-aligned around common objectives such as reducing congestion, providing safe drinking water, or promoting healthy living. Crowdsourcing offers not just a better way of doing things, but a radical challenge to the bureaucratic status quo.
Here are several ways public, private, and nonprofit organizations can use lightweight, distributed approaches to solve societal problems faster and cheaper than the existing sclerotic models.
Chunk the Problem
The genius of reCAPTCHA and Duolingo is that they divide labor into small increments, performed for free, often by people who are unaware of the project they’re helping to complete. This strategy has wide public-policy applications, even in dealing with potholes….
Meanwhile, Finland’s DigitalKoot project enlisted volunteers to digitize their own libraries by playing a computer game that challenged them to transcribe scans of antique manuscripts.
Governments can set up a microtasking platform, not just for citizen engagement but as a way to harness the knowledge and skills of public employees across multiple departments and agencies. If microtasking can work to connect people outside the “four walls” of an organization, think of its potential as a platform to connect people and conduct work inside an organization-even an organization as bureaucratic as government.
…
Decentralize Service to the Self
A young woman slices her finger on a knife. As she compresses the bleeding with gauze, she needs to know if her wound warrants stitches. So she calls up Blue Cross’ 24-hour nurse hotline, where patients call to learn if they should see a doctor. The nurse asks her to describe the depth of the cut. He explains she should compress it with gauze and skip the ER. In aggregate, savings like this amount to millions of dollars of avoided emergency room visits.
Since 2003, Blue Cross has been shifting the work of basic triage and risk mitigation to customers. Britain’s National Health Service (NHS) implemented a similar program, NHS Direct, in 1998. NHS estimates that the innovation has saved it £44 million a year….
Gamify Drudgery
Finland’s national library houses an enormous archive of antique texts, which officials hoped to scan and digitize into ordinary, searchable text documents. Rather than simply hire people for the tedium of correcting garbled OCR scans, the library invited the public to play a game. An online program called DigitalKoot lets people transcribe scanned words, and by typing accurately, usher a series of cartoon moles safely across a bridge….
Build a Two-Sided Market
Road infrastructure costs government five cents per driver per mile, according to the Victoria Transport Policy Institute. “That’s a dollar the government paid for the paving of that road and the maintaining of that infrastructure…just for you, not the other 3,000 people that travelled that same segment of highway in that same hour that you did,” says Sean O’Sullivan, founder of Carma, a ridesharing application.
Ridesharing companies such as Carma, Lyft, and Zimride are attempting to recruit private cars for the public transit network, by letting riders pay a small fee to carpool. A passenger waits at a designated stop, and the app alerts drivers, who can scan a profile of their potential rider. It’s a prime example of a potent new business model…
Remove the Middleman
John McNair dropped out of high school at age 16. By his thirties, he became an entrepreneur, producing and selling handmade guitars, but carpentry alone wouldn’t grow his business. So the founder of Red Dog Guitars enrolled in a $20 class on Skillshare.com, taught by the illustrator John Contino, to learn to brand his work with hand lettered product labels. Soon, a fellow businessman was asking McNair for labels to market guitar pickups.
Traditionally, the U.S. government might invest in retraining someone like John. Instead, peer-to-peer technology has allowed a community of designers to help John develop his skills. Peer-to-peer strategies enable citizens to meet each other’s needs, cheaply. Peer-to-peer solutions can help fix problems, deliver services, and supplement traditional approaches.
Peer-to-peer can lessen our dependence on big finance. Kickstarter lets companies skip the energy of convincing a banker that their product is viable. They just need to convince customers…”
A permanent hacker space in the Brazilian Congress
Blog entry by Dan Swislow at OpeningParliament: “On December 17, the presidency of the Brazilian Chamber of Deputies passed a resolution that creates a permanent Laboratório Ráquer or “Hacker Lab” inside the Chamber—a global first.
Read the full text of the resolution in Portuguese.
The resolution mandates the creation of a physical space at the Chamber that is “open for access and use by any citizen, especially programmers and software developers, members of parliament and other public workers, where they can utilize public data in a collaborative fashion for actions that enhance citizenship.”
The idea was born out of a week-long, hackathon (or “hacker marathon”) event hosted by the Chamber of Deputies in November, with the goal of using technology to enhance the transparency of legislative work and increase citizen understanding of the legislative process. More than 40 software developers and designers worked to create 22 applications for computers and mobile devices. The applications were voted on and the top three awarded prizes.
The winner was Meu Congress, a website that allows citizens to track the activities of their elected representatives, and monitor their expenses. Runner-ups included Monitora, Brasil!, an Android application that allows users to track proposed bills, attendance and the Twitter feeds of members; and Deliberatório, an online card game that simulates the deliberation of bills in the Chamber of Deputies.
The hackathon engaged the software developers directly with members and staff of the Chamber of Deputies, including the Chamber’s President, Henrique Eduardo Alves. Hackathon organizer Pedro Markun of Transparencia Hacker made a formal proposal to the President of the Chamber for a permanent outpost, where, as Markun said in an email, “we could hack from inside the leviathan’s belly.”
The Chamber’s Director-General has established nine staff positions for the Hacker Lab under the leadership of the Cristiano Ferri Faria, who spoke with me about the new project.
Faria explained that the hackathon event was a watershed moment for many public officials: “For 90-95% of parliamentarians and probably 80% of civil servants, they didn’t know how amazing a simple app, for instance, can make it much easier to analyze speeches.” Faria pointed to one of the hackathon contest entries, Retórica Parlamentar, which provides an interactive visualization of plenary remarks by members of the Chamber. “When members saw that, they got impressed and wondered, ‘There’s something new going on and we need to understand it and support it.’”
When Tech Culture And Urbanism Collide
John Tolva: “…We can build upon the success of the work being done at the intersection of technology and urban design, right now.
For one, the whole realm of social enterprise — for-profit startups that seek to solve real social problems — has a huge overlap with urban issues. Impact Engine in Chicago, for instance, is an accelerator squarely focused on meaningful change and profitable businesses. One of their companies, Civic Artworks, has set as its goal rebalancing the community planning process.
The Code for America Accelerator and Tumml, both located in San Francisco, morph the concept of social innovation into civic/urban innovation. The companies nurtured by CfA and Tumml are filled with technologists and urbanists working together to create profitable businesses. Like WorkHands, a kind of LinkedIn for blue collar trades. Would something like this work outside a city? Maybe. Are its effects outsized and scale-ready in a city? Absolutely. That’s the opportunity in urban innovation.
Scale is what powers the sharing economy and it thrives because of the density and proximity of cities. In fact, shared resources at critical density is one of the only good definitions for what a city is. It’s natural that entrepreneurs have overlaid technology on this basic fact of urban life to amplify its effects. Would TaskRabbit, Hailo or LiquidSpace exist in suburbia? Probably, but their effects would be minuscule and investors would get restless. The city in this regard is the platform upon which sharing economy companies prosper. More importantly, companies like this change the way the city is used. It’s not urban planning, but it is urban (re)design and it makes a difference.
A twist that many in the tech sector who complain about cities often miss is that change in a city is not the same thing as change in city government. Obviously they are deeply intertwined; change is mighty hard when it is done at cross-purposes with government leadership. But it happens all the time. Non-government actors — foundations, non-profits, architecture and urban planning firms, real estate developers, construction companies — contribute massively to the shape and health of our cities.
Often this contribution is powered through policies of open data publication by municipal governments. Open data is the raw material of a city, the vital signs of what has happened there, what is happening right now, and the deep pool of patterns for what might happen next.
Tech entrepreneurs would do well to look at the organizations and companies capitalizing on this data as the real change agents, not government itself. Even the data in many cases is generated outside government. Citizens often do the most interesting data-gathering, with tools like LocalData. The most exciting thing happening at the intersection of technology and cities today — what really makes them “smart” — is what is happening at the periphery of city government. It’s easy to belly-ache about government and certainly there are administrations that to do not make data public (or shut it down), but tech companies who are truly interested in city change should know that there are plenty of examples of how to start up and do it.
And yet, the somewhat staid world of architecture and urban-scale design presents the most opportunity to a tech community interested in real urban change. While technology obviously plays a role in urban planning — 3D visual design tools like Revit and mapping services like ArcGIS are foundational for all modern firms — data analytics as a serious input to design matters has only been used in specialized (mostly energy efficiency) scenarios. Where are the predictive analytics, the holistic models, the software-as-a-service providers for the brave new world of urban informatics and The Internet of Things? Technologists, it’s our move.
Something’s amiss when some city governments — rarely the vanguard in technological innovation — have more sophisticated tools for data-driven decision-making than the private sector firms who design the city. But some understand the opportunity. Vannevar Technology is working on it, as is Synthicity. There’s plenty of room for the most positive aspects of tech culture to remake the profession of urban planning itself. (Look to NYU’s Center for Urban Science and Progress and the University of Chicago’s Urban Center for Computation and Data for leadership in this space.)…”
Rethinking Why People Participate
Tiago Peixoto: “Having a refined understanding of what leads people to participate is one of the main concerns of those working with citizen engagement. But particularly when it comes to participatory democracy, that understanding is only partial and, most often, the cliché “more research is needed” is definitely applicable. This is so for a number of reasons, four of which are worth noting here.
- The “participatory” label is applied to greatly varied initiatives, raising obvious methodological challenges for comparative research and cumulative learning. For instance, while both participatory budgeting and online petitions can be roughly categorized as “participatory” processes, they are entirely different in terms of fundamental aspects such as their goals, institutional design and expected impact on decision-making.
- The fact that many participatory initiatives are conceived as “pilots” or one-off events gives researchers little time to understand the phenomenon, come up with sound research questions, and test different hypotheses over time. The “pilotitis” syndrome in the tech4accountability space is a good example of this.
- When designing and implementing participatory processes, in the face of budget constraints the first victims are documentation, evaluation and research. Apart from a few exceptions, this leads to a scarcity of data and basic information that undermines even the most heroic “archaeological” efforts of retrospective research and evaluation (a far from ideal approach).
- The semantic extravaganza that currently plagues the field of citizen engagement, technology and open government makes cumulative learning all the more difficult.
Precisely for the opposite reasons, our knowledge of electoral participation is in better shape. First, despite the differences between elections, comparative work is relatively easy, which is attested by the high number of cross-country studies in the field. Second, the fact that elections (for the most part) are repeated regularly and following a similar design enables the refinement of hypotheses and research questions over time, and specific time-related analysis (see an example here [PDF]). Third, when compared to the funds allocated to research in participatory initiatives, the relative amount of resources channeled into electoral studies and voting behavior is significantly higher. Here I am not referring to academic work only but also to the substantial resources invested by the private sector and parties towards a better understanding of elections and voting behavior. This includes a growing body of knowledge generated by get-out-the-vote (GOTV) research, with fascinating experimental evidence from interventions that seek to increase participation in elections (e.g. door-to-door campaigns, telemarketing, e-mail). Add to that the wealth of electoral data that is available worldwide (in machine-readable formats) and you have some pretty good knowledge to tap into. Finally, both conceptually and terminologically, the field of electoral studies is much more consistent than the field of citizen engagement which, in the long run, tends to drastically impact how knowledge of a subject evolves.
These reasons should be sufficient to capture the interest of those who work with citizen engagement. While the extent to which the knowledge from the field of electoral participation can be transferred to non-electoral participation remains an open question, it should at least provide citizen engagement researchers with cues and insights that are very much worth considering…”
6 New Year’s Strategies for Open Data Entrepreneurs
The GovLab’s Senior Advisor Joel Gurin: “Open Data has fueled a wide range of startups, including consumer-focused websites, business-to-business services, data-management tech firms, and more. Many of the companies in the Open Data 500 study are new ones like these. New Year’s is a classic time to start new ventures, and with 2014 looking like a hot year for Open Data, we can expect more startups using this abundant, free resource. For my new book, Open Data Now, I interviewed dozens of entrepreneurs and distilled six of the basic strategies that they’ve used.
1. Learn how to add value to free Open Data. We’re seeing an inversion of the value proposition for data. It used to be that whoever owned the data—particularly Big Data—had greater opportunities than those who didn’t. While this is still true in many areas, it’s also clear that successful businesses can be built on free Open Data that anyone can use. The value isn’t in the data itself but rather in the analytical tools, expertise, and interpretation that’s brought to bear. One oft-cited example: The Climate Corporation, which built a billion-dollar business out of government weather and satellite data that’s freely available for use.
2. Focus on big opportunities: health, finance, energy, education. A business can be built on just about any kind of Open Data. But the greatest number of startup opportunities will likely be in the four big areas where the federal government is focused on Open Data release. Last June’s Health Datapalooza showcased the opportunities in health. Companies like Opower in energy, GreatSchools in education, and Calcbench, SigFig, and Capital Cube in finance are examples in these other major sectors.
3. Explore choice engines and Smart Disclosure apps. Smart Disclosure – releasing data that consumers can use to make marketplace choices – is a powerful tool that can be the basis for a new sector of online startups. No one, it seems, has quite figured out how to make this form of Open Data work best, although sites like CompareTheMarket in the UK may be possible models. Business opportunities await anyone who can find ways to provide these much-needed consumer services. One example: Kayak, which competed in the crowded travel field by providing a great consumer interface, and which was sold to Priceline for $1.8 billion last year.
4. Help consumers tap the value of personal data. In a privacy-conscious society, more people will be interested in controlling their personal data and sharing it selectively for their own benefit. The value of personal data is just being recognized, and opportunities remain to be developed. There are business opportunities in setting up and providing “personal data vaults” and more opportunity in applying the many ways they can be used. Personal and Reputation.com are two leaders in this field.
5. Provide new data solutions to governments at all levels. Government datasets at the federal, state, and local level can be notoriously difficult to use. The good news is that these governments are now realizing that they need help. Data management for government is a growing industry, as Socrata, OpenGov, 3RoundStones, and others are finding, while companies like Enigma.io are turning government data into a more usable resource.
6. Look for unusual Open Data opportunities. Building a successful business by gathering data on restaurant menus and recipes is not an obvious route to success. But it’s working for Food Genius, whose founders showed a kind of genius in tapping an opportunity others had missed. While the big areas for Open Data are becoming clear, there are countless opportunities to build more niche businesses that can still be highly successful. If you have expertise in an area and see a customer need, there’s an increasingly good chance that the Open Data to help meet that need is somewhere to be found.”
A Bottom-Up Smart City?
Alicia Rouault at Data-Smart City Solutions: “America’s shrinking cities face a tide of disinvestment, abandonment, vacancy, and a shift toward deconstruction and demolition followed by strategic reinvestment, rightsizing, and a host of other strategies designed to renew once-great cities. Thriving megacity regions are experiencing rapid growth in population, offering a different challenge for city planners to redefine density, housing, and transportation infrastructure. As cities shrink and grow, policymakers are increasingly called to respond to these changes by making informed, data-driven decisions. What is the role of the citizen in this process of collecting and understanding civic data?
Writing for Forbes in “Open Sourcing the Neighborhood,” Professor of Sociology at Columbia University Saskia Sassen calls for “open source urbanism” as an antidote to the otherwise top-down smart city movement. This form of urbanism involves opening traditional verticals of information within civic and governmental institutions. Citizens can engage with and understand the logic behind decisions by exploring newly opened administrative data. Beyond opening these existing datasets, Sassen points out that citizen experts hold invaluable institutional memory that can serve as an alternate and legitimate resource for policymakers, economists, and urban planners alike.
In 2012, we created a digital platform called LocalData to address the production and use of community-generated data in a municipal context. LocalData is a digital mapping service used globally by universities, non-profits, and municipal governments to gather and understand data at a neighborhood scale. In contrast to traditional Census or administrative data, which is produced by a central agency and collected infrequently, our platform provides a simple method for both community-based organizations and municipal employees to gather real-time data on project-specific indicators: property conditions, building inspections, environmental issues or community assets. Our platform then visualizes data and exports it into formats integrated with existing systems in government to seamlessly provide accurate and detailed information for decision makers.
LocalData began as a project in Detroit, Michigan where the city was tackling a very real lack of standard, updated, and consistent condition information on the quality and status of vacant and abandoned properties. Many of these properties were owned by the city and county due to high foreclosure rates. One of Detroit’s strategies for combating crime and stabilizing neighborhoods is to demolish property in a targeted fashion. This strategy serves as a political win as much as providing an effective way to curb the secondary effects of vacancy: crime, drug use, and arson. Using LocalData, the city mapped critical corridors of emergent commercial property as an analysis tool for where to place investment, and documented thousands of vacant properties to understand where to target demolition.
Vacancy is not unique to the Midwest. Following our work with the Detroit Mayor’s office and planning department, LocalData has been used in dozens of other cities in the U.S. and abroad. Currently the Smart Chicago Collaborative is using LocalData to conduct a similar audit of vacant and abandoned property in southwest Chicagos. Though an effective tool for capturing building-specific information, LocalData has also been used to capture behavior and movement of goods. The MIT Megacities Logistics Lab has used LocalData to map and understand the intensity of urban supply chains by interviewing shop owners and mapping delivery routes in global megacities in Mexico, Colombia, Brazil and the U.S. The resulting information has been used with analytical models to help both city officials and companies to design better city logistics policies and operations….”
Big Data Becomes a Mirror
Book Review of ‘Uncharted,’ by Erez Aiden and Jean-Baptiste Michel in the New York Times: “Why do English speakers say “drove” rather than “drived”?
As graduate students at the Harvard Program for Evolutionary Dynamics about eight years ago, Erez Aiden and Jean-Baptiste Michel pondered the matter and decided that something like natural selection might be at work. In English, the “-ed” past-tense ending of Proto-Germanic, like a superior life form, drove out the Proto-Indo-European system of indicating tenses by vowel changes. Only the small class of verbs we know as irregular managed to resist.To test this evolutionary premise, Mr. Aiden and Mr. Michel wound up inventing something they call culturomics, the use of huge amounts of digital information to track changes in language, culture and history. Their quest is the subject of “Uncharted: Big Data as a Lens on Human Culture,” an entertaining tour of the authors’ big-data adventure, whose implications they wildly oversell….
Invigorated by the great verb chase, Mr. Aiden and Mr. Michel went hunting for bigger game. Given a large enough storehouse of words and a fine filter, would it be possible to see cultural change at the micro level, to follow minute fluctuations in human thought processes and activities? Tiny factoids, multiplied endlessly, might assume imposing dimensions.
By chance, Google Books, the megaproject to digitize every page of every book ever printed — all 130 million of them — was starting to roll just as the authors were looking for their next target of inquiry.
Meetings were held, deals were struck and the authors got to it. In 2010, working with Google, they perfected the Ngram Viewer, which takes its name from the computer-science term for a word or phrase. This “robot historian,” as they call it, can search the 30 million volumes already digitized by Google Books and instantly generate a usage-frequency timeline for any word, phrase, date or name, a sort of stock-market graph illustrating the ups and downs of cultural shares over time.
Mr. Aiden, now director of the Center for Genome Architecture at Rice University, and Mr. Michel, who went on to start the data-science company Quantified Labs, play the Ngram Viewer (books.google.com/ngrams) like a Wurlitzer…
The Ngram Viewer delivers the what and the when but not the why. Take the case of specific years. All years get attention as they approach, peak when they arrive, then taper off as succeeding years occupy the attention of the public. Mentions of the year 1872 had declined by half in 1896, a slow fade that took 23 years. The year 1973 completed the same trajectory in less than half the time.
“What caused that change?” the authors ask. “We don’t know. For now, all we have are the naked correlations: what we uncover when we look at collective memory through the digital lens of our new scope.” Someone else is going to have to do the heavy lifting.”
Open Government? Check. Public Participation? Not yet.
New blog post by Tina Nabatchi: “By requiring all federal agencies to be more transparent, collaborative, and participatory, the Obama Administration’s Open Government Initiative promised to bring watershed changes to government. While much progress has been made since the release of its first National Action Plan, advances in the arena of public participation have been disappointing. Champions of public participation had high hopes for the second National Action Plan, which was released by the White House on December 5, 2013. While the second plan has numerous commendable and important commitments that increase transparency and collaboration, it falls flat with regard to public participation, perhaps with the exception of its promotion of participatory budgeting.
The second plan includes three explicit commitments involving “public participation.” The first commitment, “Improving Public Participation in Government,” is to be done by: (1) “expanding and simplifying the use of the We the People e-petition platform,” and (2) “publishing best practices and metrics for public participation” (see page 2). Both of these commitments (in different form) were in the first National Action Plan.
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Perhaps the lack of movement is because realizing the promise of public participation at the federal level requires making challenging, substantive changes to our administrative infrastructure. Several issues impede the effective use of participation in open government at the federal level, including among others:
Most of the laws that govern that use of public participation are over thirty years old and pre-date the internet. Existing laws and regulations use a narrow definition of public participation and fail to embrace the vast array of robust, empowered participatory methods. Moreover, the laws are often in tension with agency missions and the goals of participation, and leave agency staff wondering whether participatory innovations are legal.
Agency officials sometimes lack the knowledge, skills, and abilities to launch effective and meaningful participatory programs, and there are few opportunities for officials to learn about best practices from each other and from civil society. Agency officials who have taken lead roles in innovative public participation efforts do not always feel supported by the Administration.
Several laws, rules, and regulations limit agencies’ ability to collect and use routine data from participatory programs, which impedes evaluation efforts. Thus, agencies are severely restricted in their ability to appraise and improve participatory developments and implementation.
Had these issues been addressed in the second National Action Plan, then perhaps federal agencies would have been able to focus on the participatory aspects of open government and help the U.S. become a leader in public participation innovation. To this end, as the Administration moves forward with Open Government, it should work on: (1) reviewing and clarifying the legal framework for participation, including a more expansive and clear definition of public participation; (2) helping agencies develop the internal capacity needed to conduct more meaningful public participation; and (3) developing a generic, OMB-approved tool that all agencies can use to collect common data about individual participants for routine uses. Without attention to these issues, the Open Government Initiative will fail to reshape the practices and activities of public participation in the work of federal agencies.”
Are Smart Cities Empty Hype?
Irving Wladawsky-Berger in the Wall Street Journal: “A couple of weeks ago I participated in an online debate sponsored by The Economist around the question: Are Smart Cities Empty Hype? Defending the motion was Anthony Townsend, research director at the Institute for the Future and adjunct faculty member at NYU’s Wagner School of Public Service. I took the opposite side, arguing the case against the motion.
The debate consisted of three phases spread out over roughly 10 days. We each first stated our respective positions in our opening statements, followed a few days later by our rebuttals, and then finally our closing statements. It was moderated by Ludwig Siegele, online business and finance editor at The Economist. Throughout the process, people were invited to vote on the motion, as well as to post their own comments.
The debate was inspired, I believe, by The Multiplexed Metropolis, an article Mr. Siegele published in the September 7 issue of The Economist which explored the impact of Big Data on cities. He wrote that the vast amounts of data generated by the many social interactions taking place in cities might lead to a kind of second electrification, transforming 21st century cities much as electricity did in the past. “Enthusiasts think that data services can change cities in this century as much as electricity did in the last one,” he noted. “They are a long way from proving their case.”
In my opening statement, I said that I strongly believe that digital technologies and the many data services they are enabling will make cities smarter and help transform them over time. My position is not surprising, given my affiliations with NYU’s Center for Urban Science and Progress (CUSP) and Imperial College’s Digital City Exchange, as well as my past involvements with IBM’s Smarter Cities and with Citigroup’s Citi for Cities initiatives. But, I totally understand why so many– almost half of those voting and quite a few who left comments–feel that smart cities are mostly hype. The case for smart cities is indeed far from proven.
Cities are the most complex social organisms created by humans. Just about every aspect of human endeavor is part of the mix of cities, and they all interact with each other leading to a highly dynamic system of systems. Moreover, each city has its own unique style and character. As is generally the case with transformative changes to highly complex systems, the evolution toward smart cities will likely take quite a bit longer than we anticipate, but the eventual impact will probably be more transformative than we can currently envision.
Electrification, for example, started in the U.S., Britain and other advanced nations around the 1880s and took decades to deploy and truly transform cities. The hype around smart cities that I worry the most about is underestimating their complexity and the amount of research, experimentation, and plain hard work that it will take to realize the promise. Smart cities projects are still in their very early stages. Some will work and some will fail. We have much to learn. Highly complex systems need time to evolve.
Commenting on the opening statements, Mr. Siegele noted: “Despite the motion being Are smart cities empty hype?, both sides have focused on whether these should be implemented top-down or bottom-up. Most will probably agree that digital technology can make cities smarter–meaning more liveable, more efficient, more sustainable and perhaps even more democratic. But the big question is how to get there and how smart cities will be governed.”…
NESTA: 14 predictions for 2014
NESTA: “Every year, our team of in-house experts predicts what will be big over the next 12 months.
This year we set out our case for why 2014 will be the year we’re finally delivered the virtual reality experience we were promised two decades ago, the US will lose technological control of the Internet, communities will start crowdsourcing their own political representatives and we’ll be introduced to the concept of extreme volunteering – plus 10 more predictions spanning energy, tech, health, data, impact investment and social policy…
People powered data
The growing movement to take back control of personal data will reach a tipping point, says Geoff Mulgan
2014 will be the year when citizens start to take control over their own data. So far the public has accepted a dramatic increase in use of personal data because it doesn’t impinge much on freedom, and helps to give us a largely free internet.
But all of that could be about to change. Edward Snowden’s NSA revelations have fuelled a growing perception that the big social media firms are cavalier with personal data (a perception not helped by Facebook and Google’s recent moves to make tracking cookies less visible) and the Information Commissioner has described the data protection breaches of many internet firms, banks and others as ‘horrifying’.
According to some this doesn’t matter. Scott McNealy of Sun Microsystems famously dismissed the problem: “you have zero privacy anyway. Get over it.” Mark Zuckerberg claims that young people no longer worry about making their lives transparent. We’re willing to be digital chattels so long as it doesn’t do us any visible harm.
That’s the picture now. But the past isn’t always a good guide to the future. More digitally savvy young people put a high premium on autonomy and control, and don’t like being the dupes of big organisations. We increasingly live with a digital aura alongside our physical identity – a mix of trails, data, pictures. We will increasingly want to shape and control that aura, and will pay a price if we don’t.
That’s why the movement for citizen control over data has gathered momentum. It’s 30 years since Germany enshrined ‘informational self-determination’ in the constitution and other countries are considering similar rules. Organisations like Mydex and Qiy now give users direct control over a store of their personal data, part of an emerging sector of Personal Data Stores, Privacy Dashboards and even ‘Life Management Platforms’. …
In the UK, the government-backed Midata programme is encouraging firms to migrate data back to public control, while the US has introduced green, yellow and blue buttons to simplify the option of taking back your data (in energy, education and the Veterans Administration respectively). Meanwhile a parallel movement encourages people to monetise their own data – so that, for example, Tesco or Experian would have to pay for the privilege of making money out of analysing your purchases and behaviours.
When people are shown what really happens to their data now they are shocked. That’s why we may be near a tipping point. A few more scandals could blow away any remaining complacency about the near future world of ubiquitous facial recognition software (Google Glasses and the like), a world where more people are likely to spy on their neighbours, lovers and colleagues.
The crowdsourced politician
But all of that could be about to change. Edward Snowden’s NSA revelations have fuelled a growing perception that the big social media firms are cavalier with personal data (a perception not helped by Facebook and Google’s recent moves to make tracking cookies less visible) and the Information Commissioner has described the data protection breaches of many internet firms, banks and others as ‘horrifying’.
According to some this doesn’t matter. Scott McNealy of Sun Microsystems famously dismissed the problem: “you have zero privacy anyway. Get over it.” Mark Zuckerberg claims that young people no longer worry about making their lives transparent. We’re willing to be digital chattels so long as it doesn’t do us any visible harm.
That’s the picture now. But the past isn’t always a good guide to the future. More digitally savvy young people put a high premium on autonomy and control, and don’t like being the dupes of big organisations. We increasingly live with a digital aura alongside our physical identity – a mix of trails, data, pictures. We will increasingly want to shape and control that aura, and will pay a price if we don’t.
That’s why the movement for citizen control over data has gathered momentum. It’s 30 years since Germany enshrined ‘informational self-determination’ in the constitution and other countries are considering similar rules. Organisations like Mydex and Qiy now give users direct control over a store of their personal data, part of an emerging sector of Personal Data Stores, Privacy Dashboards and even ‘Life Management Platforms’. …
In the UK, the government-backed Midata programme is encouraging firms to migrate data back to public control, while the US has introduced green, yellow and blue buttons to simplify the option of taking back your data (in energy, education and the Veterans Administration respectively). Meanwhile a parallel movement encourages people to monetise their own data – so that, for example, Tesco or Experian would have to pay for the privilege of making money out of analysing your purchases and behaviours.
When people are shown what really happens to their data now they are shocked. That’s why we may be near a tipping point. A few more scandals could blow away any remaining complacency about the near future world of ubiquitous facial recognition software (Google Glasses and the like), a world where more people are likely to spy on their neighbours, lovers and colleagues.
The crowdsourced politician
This year we’ll see the rise of the crowdsourced independent parliamentary candidate, says Brenton Caffin
…In response, existing political institutions have sought to improve feedback between the governing and the governed through the tentative embrace of crowdsourcing methods, ranging from digital engagement strategies, open government challenges, to the recent stalled attempt to embrace open primaries by the Conservative Party (Iceland has been braver by designing its constitution by wiki). Though for many, these efforts are both too little and too late. The sense of frustration that no political party is listening to the real needs of people is probably part of the reason Russell Brand’s interview with Jeremy Paxman garnered nine million views in its first month on YouTube.…
However a glimpse of an alternative approach may have arrived courtesy of the 2013 Australian Federal Election.
Tired of being taken for granted by the local MP, locals in the traditionally safe conservative seat of Indi embarked on a structured process of community ‘kitchen table’ conversations to articulate an independent account of the region’s needs. The community group, Voice for Indi, later nominated its chair, Cath McGowan, as an independent candidate. It crowdfunded their campaign finances and built a formidable army of volunteers through a sophisticated social media operation….
The rise of ‘extreme’ volunteering
However a glimpse of an alternative approach may have arrived courtesy of the 2013 Australian Federal Election.
Tired of being taken for granted by the local MP, locals in the traditionally safe conservative seat of Indi embarked on a structured process of community ‘kitchen table’ conversations to articulate an independent account of the region’s needs. The community group, Voice for Indi, later nominated its chair, Cath McGowan, as an independent candidate. It crowdfunded their campaign finances and built a formidable army of volunteers through a sophisticated social media operation….
The rise of ‘extreme’ volunteering
By the end of 2014 the concept of volunteering will move away from the soup kitchen and become an integral part of how our communities operate, says Lindsay Levkoff Lynn
…Extreme volunteering is about regular people going beyond the usual levels of volunteering. It is a deeper and more intensive form of volunteering, and I predict we will see more of these amazing commitments of ‘people helping people’ in the years to come.
Let me give you a few early examples of what we are already starting to see in the UK:
Let me give you a few early examples of what we are already starting to see in the UK:
- Giving a whole year of your life in service of kids. That’s what City Year volunteers do – Young people (18-25) dedicate a year, full-time, before university or work to support head teachers in turning around the behaviour and academics of some of the most underprivileged UK schools.
- Giving a stranger a place to live and making them part of your family. That’s what Shared Lives Plus carers do. They ‘adopt’ an older person or a person with learning disabilities and offer them a place in their family. So instead of institutional care, families provide the full-time care – much like a ‘fostering for adults’ programme. Can you imagine inviting someone to come and live with you?…