Big data for government good: using analytics for policymaking


Kent Smetters in The Hill: ” Big Data and analytics are driving advancements that touch nearly every part of our lives. From improving disaster relief efforts following a storm, to enhancing patient response to specific medications to criminal justice reform and real-time traffic reporting, Big Data is saving lives, reducing costs and improving productivity across the private and the public sector.Yet when our elected officials draft policy they lack access to advanced data and analytics that would help them understand the economic implications of proposed legislation. Instead of using Big Data to inform and shape vital policy questions, Members of Congress typically don’t receive a detailed analysis of a bill until after it has been written, and after they have sought support for it. That’s when a policy typically undergoes a detailed budgetary analysis. And even then, these assessments often ignore the broader impact on jobs and the economy.

Yet when our elected officials draft policy they lack access to advanced data and analytics that would help them understand the economic implications of proposed legislation. Instead of using Big Data to inform and shape vital policy questions, Members of Congress typically don’t receive a detailed analysis of a bill until after it has been written, and after they have sought support for it. That’s when a policy typically undergoes a detailed budgetary analysis. And even then, these assessments often ignore the broader impact on jobs and the economy.

We must do better. Just as modern marketing firms use deep analytical tools to make smart business decisions, policymakers in Washington should similarly have access to modern tools for analyzing important policy questions.
Will Social Security be solvent for our grandchildren? How will changes to immigration policy influence the number of jobs and the GDP? How will tax reform impact the budget, economic growth and the income distribution? What is the impact of new investments in health care, education and roads? These are big questions that must be answered with reliable data and analysis while legislation is being written, not afterwards. The absence leaves us with ideology-driven partisanship.

Simply put, Washington needs better tools to evaluate these complex factors. Imagine the productive conversations we could have if we applied the kinds of tools that are commonplace in the business world to help Washington make more informed choices.

For example, with the help of a nonpartisan budget model from the Wharton School of the University of Pennsylvania, policymakers and the public can uncover some valuable—and even surprising—information about our choices surrounding Social Security, immigration and other issues.

By analyzing more than 4,000 different Social Security policy options, for example, the model projects that the Social Security Trust Fund will be depleted three years earlier than the Social Security Administration’s projections, barring any changes in current law. The tool’s projected shortfalls are larger than the SSA’s, in fact—because it takes into account how changes over time will affect the outcome. We also learn that many standard policy options fail to significantly move the Trust Fund exhaustion date, as these policies phase in too slowly or are too small. Securing Social Security, we now know, requires a range of policy combinations and potentially larger changes than we may have been considering.

Immigration policy, too, is an area where we could all benefit from greater understanding. The political left argues that legalizing undocumented workers will have a positive impact on jobs and the economy. The political right argues for just the opposite—deportation of undocumented workers—for many of the same reasons. But, it turns out, the numbers don’t offer much support to either side.

On one hand, legalization actually slightly reduces the number of jobs. The reason is simple: legal immigrants have better access to school and college, and they can spend more time looking for the best job match. However, because legal immigrants can gain more skills, the actual impact on GDP from legalization alone is basically a wash.

The other option being discussed, deportation, also reduces jobs, in this case because the number of native-born workers can’t rise enough to absorb the job losses caused by deportation. GDP also declines. Calculations based on 125 different immigration policy combinations show that increasing the total amount of legal immigrants—especially those with higher skills—is the most effective policy for increasing employment rates and GDP….(More)”

Is internet freedom a tool for democracy or authoritarianism?


 and  in the Conversation: “The irony of internet freedom was on full display shortly after midnight July 16 in Turkey when President Erdogan used FaceTime and independent TV news to call for public resistance against the military coup that aimed to depose him.

In response, thousands of citizens took to the streets and aided the government in beating back the coup. The military plotters had taken over state TV. In this digital age they apparently didn’t realize television was no longer sufficient to ensure control over the message.

This story may appear like a triumphant example of the internet promoting democracy over authoritarianism.

Not so fast….This duality of the internet, as a tool to promote democracy or authoritarianism, or simultaneously both, is a complex puzzle.

The U.S. has made increasing internet access around the world a foreign policy priority. This policy was supported by both Secretaries of State John Kerry and Hillary Clinton.

The U.S. State Department has allocated tens of millions of dollars to promote internet freedom, primarily in the area of censorship circumvention. And just this month, the United Nations Human Rights Council passed a resolution declaring internet freedom a fundamental human right. The resolution condemns internet shutdowns by national governments, an act that has become increasingly common in variety of countries across the globe, including Turkey, Brazil, India and Uganda.

On the surface, this policy makes sense. The internet is an intuitive boon for democracy. It provides citizens around the world with greater freedom of expression, opportunities for civil society, education and political participation. And previous research, including our own, has been optimistic about the internet’s democratic potential.

However, this optimism is based on the assumption that citizens who gain internet access use it to expose themselves to new information, engage in political discussions, join social media groups that advocate for worthy causes and read news stories that change their outlook on the world.

And some do.

But others watch Netflix. They use the internet to post selfies to an intimate group of friends. They gain access to an infinite stream of music, movies and television shows. They spend hours playing video games.

However, our recent research shows that tuning out from politics and immersing oneself in online spectacle has political consequences for the health of democracy….Political use of the internet ranks very low globally, compared to other uses. Research has found that just 9 percent of internet users posted links to political news and only 10 percent posted their own thoughts about political or social issues. In contrast, almost three-quarters (72 percent) say they post about movies and music, and over half (54 percent) also say they post about sports online.

This inspired our study, which sought to show how the internet does not necessarily serve as democracy’s magical solution. Instead, its democratic potential is highly dependent on how citizens choose to use it….

Ensuring citizens have access to the internet is not sufficient to ensure democracy and human rights. In fact, internet access may negatively impact democracy if exploited for authoritarian gain.

The U.S. government, NGOs and other democracy advocates have invested a great deal of time and resources toward promoting internet access, fighting overt online censorship and creating circumvention technologies. Yet their success, at best, has been limited.

The reason is twofold. First, authoritarian governments have adapted their own strategies in response. Second, the “if we build it, they will come” philosophy underlying a great deal of internet freedom promotion doesn’t take into account basic human psychology in which entertainment choices are preferred over news and attitudes toward the internet determine its use, not the technology itself.

Allies in the internet freedom fight should realize that the locus of the fight has shifted. Greater efforts must be put toward tearing down “psychological firewalls,” building demand for internet freedom and influencing citizens to employ the internet’s democratic potential.

Doing so ensures that the democratic online toolkit is a match for the authoritarian one….(More)”

Building a Civic Tech Sector to Last: Design Principles to Generate a Civic Tech Movement


Stefaan G. Verhulst at Positive Returns (Medium): “Over the last few years we have seen growing recognition of the potential of “civic tech,” or the use of technology that “empowers citizens to make government more accessible, efficient and effective (definition provided in “Engines of Change”)”. One commentator recently described “civic tech as the next big thing.” At the same time, we are yet to witness a true tech-enabled transformation of how government works and how citizens engage with institutions and with each other to solve societal problems. In many ways, civic tech still operates under the radar screen and often lacks broad acceptance. So how do we accelerate and expand the civic tech sector? How can we build a civic tech field that can last and stand the test of time?

The “Engines of Change” report written for Omidyar Network by Purpose seeks to provide an answer to these questions in the context of the United States….

Given the new insights gained from the report, how to move forward? How to translate its findings into a strategy that seeks to improve people’s lives and addresses societal problems by leveraging technology? What emerges from reading the report, and reflecting on how fields and movements have been built in other areas (e.g., the digital learning movement by theMacArthur Foundation or the Hewlett Foundation’s efforts to build a conflict resolution field), are a set of design principles that, when applied consistently, may generate a true lasting civic tech movement. These principles include:

  • Define a common problem that matters enough to work on collectively and identify a unique opportunity to solve it. Most successful movements seek to solve hard problems. So what is the problem that civic tech seeks to address? …
  • Encourage experimentation. As it stands, there is no shortage of experimentation with new platforms and tools in the civic tech space.What is missing, however, is the type of assessment that uncovers whether or not such efforts are actually working, and why or why not. Rather than viewing experimentation as simply “trying new things,” the field could embrace “fast-cycle action research” to understand both more quickly, and more precisely, when an innovation works, for whom, and under what conditions.
  • Establish an evidence base and a common set of metrics. While there is good reason to believe that breakthrough solutions may come from using technology, there are still too little studies measuring exactly how impactful civic tech is. Without a deeper understanding of whether, when, why and to what extent an intervention has made an impact, the civic tech movement will lack credibility. To accelerate the rate of experimentation and create more agile institutions capable of piloting civic tech solutions, we need research that will enable the sector to move away from “faith-based” initiatives toward “evidence-based” ones. The TicTec conference, the Opening Governance Research Network and the recently launched Open Governance Research Exchange are some initiatives that seek to address this shortcoming. Yet more analysis and translation of current findings into clear baselines of impact against common metrics is needed to make the sector more reliable.
  • Develop a Network Infrastructure…
  • Identify the signal…

As every engineer knows, building engines requires a set of basic design principles. Similarly, transforming the civic tech sector into a sustainable engine of change may require the implementation of the principles outlined above. Let’s build a civic tech sector to last….(More)”

Power to the people: how cities can use digital technology to engage and empower citizens


Tom Saunders at NESTA: “You’re sat in city hall one day and you decide it would be a good idea to engage residents in whatever it is you’re working on – next year’s budget, for example, or the redevelopment of a run down shopping mall. How do you go about it?

In the past, you might have held resident meetings and exhibitions where people could view proposed designs or talk to city government employees. You can still do that today, but now there’s digital: apps, websites and social media. So you decide on a digital engagement strategy: you build a website or you run a social media campaign inviting feedback on your proposals. What happens next?

Two scenarios: 1) You get 50 responses, mostly from campaign groups and local political activists; or 2) you receive such a huge number of responses that you don’t know what to do with them. Besides which, you don’t have the power or budget to implement 90 per cent of the suggestions and neither do you have the time to tell people why their proposals will be ignored. The main outcome of your citizen engagement exercise seems to be that you have annoyed the very people you were trying to get buy in from. What went wrong?

Four tips for digital engagement

With all the apps and platforms out there, it’s hard to make sense of what is going on in the world of digital tools for citizen engagement. It seems there are three distinct activities that digital tools enable: delivering council services online – say applying for a parking permit; using citizen generated data to optimise city government processes and engaging citizens in democratic exercises. In Conneced Councils Nesta sets out what future models of online service delivery could look like. Here I want to focus on the ways that engaging citizens with digital technology can help city governments deliver services more efficiently and improve engagement in democratic processes.

  1. Resist the temptation to build an app…

  1. Think about what you want to engage citizens for…

Sometimes engagement is statutory: communities have to be shown new plans for their area. Beyond this, there are a number of activities that citizen engagement is useful for. When designing a citizen engagement exercise it may help to think which of the following you are trying to achieve (note: they aren’t mutually exclusive):

  • Better understanding of the facts

If you want to use digital technologies to collect more data about what is happening in your city, you can buy a large number of sensors and install them across the city, to track everything from people movements to how full bins are. A cheaper and possibly more efficient way for cities to do this might involve working with people to collect this data – making use of the smartphones that an increasing number of your residents carry around with them. Prominent examples of this included flood mapping in Jakarta using geolocated tweets and pothole mapping in Boston using a mobile app.

For developed world cities, the thought of outsourcing flood mapping to citizens might fill government employees with horror. But for cities in developing countries, these technologies present an opportunity, potentially, for them to leapfrog their peers – to reach a level of coverage now that would normally require decades of investment in infrastructure to achieve. This is currently a hypothetical situation: cities around the world are only just starting to pilot these ideas and technologies and it will take a number of years before we know how useful they are to city governments.

  • Generating better ideas and options

The examples above involve passive data collection. Moving beyond this to more active contributions, city governments can engage citizens to generate better ideas and options. There are numerous examples of this in urban planning – the use of Minecraft by the UN in Nairobi to collect and visualise ideas for the future development of the community, or the Carticipe platform in France, which residents can use to indicate changes they would like to see in their city on a map.

It’s all very well to create a digital suggestion box, but there is a lot of evidence that deliberation and debate lead to much better ideas. Platforms like BetterReykjavic include a debate function for any idea that is proposed. Based on feedback, the person who submitted the idea can then edit it, before putting it to a public vote – only then, if the proposal gets the required number of votes, is it sent to the city council for debate.

  • Better decision making

As well as enabling better decision making by giving city government employees, better data and better ideas, digital technologies can give the power to make decisions directly to citizens. This is best encapsulated by participatory budgeting – which involves allowing citizens to decide how a percentage of the city budget is spent. Participatory budgeting emerged in Brazil in the 1980s, but digital technologies help city governments reach a much larger audience. ‘Madame Mayor, I have an idea’ is a participatory budgeting process that lets citizens propose and vote on ideas for projects in Paris. Over 20,000 people have registered on the platform and the pilot phase of the project received over 5000 submissions.

  1. Remember that there’s a world beyond the internet…

  1. Pick the right question for the right crowd…

When we talk to city governments and local authorities, they express a number of fears about citizen engagement: Fear of relying on the public for the delivery of critical services, fear of being drowned in feedback and fear of not being inclusive – only engaging with those that are online and motivated. Hopefully, thinking through the issues discussed above may help alleviate some of these fears and make city government more enthusiastic about digital engagement….(More)

How Twitter gives scientists a window into human happiness and health


 at the Conversation: “Since its public launch 10 years ago, Twitter has been used as a social networking platform among friends, an instant messaging service for smartphone users and a promotional tool for corporations and politicians.

But it’s also been an invaluable source of data for researchers and scientists – like myself – who want to study how humans feel and function within complex social systems.

By analyzing tweets, we’ve been able to observe and collect data on the social interactions of millions of people “in the wild,” outside of controlled laboratory experiments.

It’s enabled us to develop tools for monitoring the collective emotions of large populations, find the happiest places in the United States and much more.

So how, exactly, did Twitter become such a unique resource for computational social scientists? And what has it allowed us to discover?

Twitter’s biggest gift to researchers

On July 15, 2006, Twittr (as it was then known) publicly launched as a “mobile service that helps groups of friends bounce random thoughts around with SMS.” The ability to send free 140-character group texts drove many early adopters (myself included) to use the platform.

With time, the number of users exploded: from 20 million in 2009 to 200 million in 2012 and 310 million today. Rather than communicating directly with friends, users would simply tell their followers how they felt, respond to news positively or negatively, or crack jokes.

For researchers, Twitter’s biggest gift has been the provision of large quantities of open data. Twitter was one of the first major social networks to provide data samples through something called Application Programming Interfaces (APIs), which enable researchers to query Twitter for specific types of tweets (e.g., tweets that contain certain words), as well as information on users.

This led to an explosion of research projects exploiting this data. Today, a Google Scholar search for “Twitter” produces six million hits, compared with five million for “Facebook.” The difference is especially striking given that Facebook has roughly five times as many users as Twitter (and is two years older).

Twitter’s generous data policy undoubtedly led to some excellent free publicity for the company, as interesting scientific studies got picked up by the mainstream media.

Studying happiness and health

With traditional census data slow and expensive to collect, open data feeds like Twitter have the potential to provide a real-time window to see changes in large populations.

The University of Vermont’s Computational Story Lab was founded in 2006 and studies problems across applied mathematics, sociology and physics. Since 2008, the Story Lab has collected billions of tweets through Twitter’s “Gardenhose” feed, an API that streams a random sample of 10 percent of all public tweets in real time.

I spent three years at the Computational Story Lab and was lucky to be a part of many interesting studies using this data. For example, we developed a hedonometer that measures the happiness of the Twittersphere in real time. By focusing on geolocated tweets sent from smartphones, we were able to map the happiest places in the United States. Perhaps unsurprisingly, we found Hawaii to be the happiest state and wine-growing Napa the happiest city for 2013.

A map of 13 million geolocated U.S. tweets from 2013, colored by happiness, with red indicating happiness and blue indicating sadness. PLOS ONE, Author provided

These studies had deeper applications: Correlating Twitter word usage with demographics helped us understand underlying socioeconomic patterns in cities. For example, we could link word usage with health factors like obesity, so we built a lexicocalorimeter to measure the “caloric content” of social media posts. Tweets from a particular region that mentioned high-calorie foods increased the “caloric content” of that region, while tweets that mentioned exercise activities decreased our metric. We found that this simple measure correlates with other health and well-being metrics. In other words, tweets were able to give us a snapshot, at a specific moment in time, of the overall health of a city or region.

Using the richness of Twitter data, we’ve also been able to see people’s daily movement patterns in unprecedented detail. Understanding human mobility patterns, in turn, has the capacity to transform disease modeling, opening up the new field of digital epidemiology….(More)”

There aren’t any rules on how social scientists use private data. Here’s why we need them.


 at SSRC: “The politics of social science access to data are shifting rapidly in the United States as in other developed countries. It used to be that states were the most important source of data on their citizens, economy, and society. States needed to collect and aggregate large amounts of information for their own purposes. They gathered this directly—e.g., through censuses of individuals and firms—and also constructed relevant indicators. Sometimes state agencies helped to fund social science projects in data gathering, such as the National Science Foundation’s funding of the American National Election Survey over decades. While scholars such as James Scott and John Brewer disagreed about the benefits of state data gathering, they recognized the state’s primary role.

In this world, the politics of access to data were often the politics of engaging with the state. Sometimes the state was reluctant to provide information, either for ethical reasons (e.g. the privacy of its citizens) or self-interest. However, democratic states did typically provide access to standard statistical series and the like, and where they did not, scholars could bring pressure to bear on them. This led to well-understood rules about the common availability of standard data for many research questions and built the foundations for standard academic practices. It was relatively easy for scholars to criticize each other’s work when they were drawing on common sources. This had costs—scholars tended to ask the kinds of questions that readily available data allowed them to ask—but also significant benefits. In particular, it made research more easily reproducible.

We are now moving to a very different world. On the one hand, open data initiatives in government are making more data available than in the past (albeit often without much in the way of background resources or documentation).The new universe of private data is reshaping social science research in some ways that are still poorly understood. On the other, for many research purposes, large firms such as Google or Facebook (or even Apple) have much better data than the government. The new universe of private data is reshaping social science research in some ways that are still poorly understood. Here are some of the issues that we need to think about:…(More)”

Designing an Active, Healthier City


Meera Senthilingam in the New York Times: “Despite a firm reputation for being walkers, New Yorkers have an obesity epidemic on their hands. Lee Altman, a former employee of New York City’s Department of Design and Construction, explains it this way: “We did a very good job at designing physical activity out of our daily lives.”

According to the city’s health department, more than half of the city’s adult population is either overweight (34 percent) or obese (22 percent), and the convenience of their environment has contributed to this. “Everything is dependent on a car, elevator; you sit in front of a computer,” said Altman, “not moving around a lot.”

This is not just a New York phenomenon. Mass urbanization has caused populations the world over to reduce the amount of time they spend moving their bodies. But the root of the problem runs deep in a city’s infrastructure.

Safety, graffiti, proximity to a park, and even the appeal of stairwells all play roles in whether someone chooses to be active or not. But only recently have urban developers begun giving enough priority to these factors.

Planners in New York have now begun employing a method known as “active design” to solve the problem. The approach is part of a global movement to get urbanites onto their streets and enjoying their surroundings on foot, bike or public transport.

“We can impact public health and improve health outcomes through the way that we design,” said Altman, a former active design coordinator for New York City. She now lectures as an adjunct assistant professor inColumbia University’s urban design program.

“The communities that have the least access to well-maintained sidewalks and parks have the highest risk of obesity and chronic disease,” said Joanna Frank, executive director of the nonprofit Center for Active Design; her work focuses on creating guidelines and reports, so that developers and planners are aware, for example, that people have been “less likely to walk down streets, less likely to bike, if they didn’t feel safe, or if the infrastructure wasn’t complete, so you couldn’t get to your destination.”

Even adding items as straightforward as benches and lighting to a streetscape can greatly increase the likelihood of someone’s choosing to walk, she said.

This may seem obvious, but without evidence its importance could be overlooked. “We’ve now established that’s actually the case,” said Frank.

How can things change? According to Frank, four areas are critical: transportation, recreation, buildings and access to food….(More)”

Research in the Crowdsourcing Age, a Case Study


Report by  (Pew): “How scholars, companies and workers are using Mechanical Turk, a ‘gig economy’ platform, for tasks computers can’t handle

How Mechanical Turk WorksDigital age platforms are providing researchers the ability to outsource portions of their work – not just to increasingly intelligent machines, but also to a relatively low-cost online labor force comprised of humans. These so-called “online outsourcing” services help employers connect with a global pool of free-agent workers who are willing to complete a variety of specialized or repetitive tasks.

Because it provides access to large numbers of workers at relatively low cost, online outsourcing holds a particular appeal for academics and nonprofit research organizations – many of whom have limited resources compared with corporate America. For instance, Pew Research Center has experimented with using these services to perform tasks such as classifying documents and collecting website URLs. And a Google search of scholarly academic literature shows that more than 800 studies – ranging from medical research to social science – were published using data from one such platform, Amazon’s Mechanical Turk, in 2015 alone.1

The rise of these platforms has also generated considerable commentary about the so-called “gig economy” and the possible impact it will have on traditional notions about the nature of work, the structure of compensation and the “social contract” between firms and workers. Pew Research Center recently explored some of the policy and employment implications of these new platforms in a national survey of Americans.

Proponents say this technology-driven innovation can offer employers – whether companies or academics – the ability to control costs by relying on a global workforce that is available 24 hours a day to perform relatively inexpensive tasks. They also argue that these arrangements offer workers the flexibility to work when and where they want to. On the other hand, some critics worry this type of arrangement does not give employees the same type of protections offered in more traditional work environments – while others have raised concerns about the quality and consistency of data collected in this manner.

A recent report from the World Bank found that the online outsourcing industry generated roughly $2 billion in 2013 and involved 48 million registered workers (though only 10% of them were considered “active”). By 2020, the report predicted, the industry will generate between $15 billion and $25 billion.

Amazon’s Mechanical Turk is one of the largest outsourcing platforms in the United States and has become particularly popular in the social science research community as a way to conduct inexpensive surveys and experiments. The platform has also become an emblem of the way that the internet enables new businesses and social structures to arise.

In light of its widespread use by the research community and overall prominence within the emerging world of online outsourcing, Pew Research Center conducted a detailed case study examining the Mechanical Turk platform in late 2015 and early 2016. The study utilizes three different research methodologies to examine various aspects of the Mechanical Turk ecosystem. These include human content analysis of the platform, a canvassing of Mechanical Turk workers and an analysis of third party data.

The first goal of this research was to understand who uses the Mechanical Turk platform for research or business purposes, why they use it and who completes the work assignments posted there. To evaluate these issues, Pew Research Center performed a content analysis of the tasks posted on the site during the week of Dec. 7-11, 2015.

A second goal was to examine the demographics and experiences of the workers who complete the tasks appearing on the site. This is relevant not just to fellow researchers that might be interested in using the platform, but as a snapshot of one set of “gig economy” workers. To address these questions, Pew Research Center administered a nonprobability online survey of Turkers from Feb. 9-25, 2016, by posting a task on Mechanical Turk that rewarded workers for answering questions about their demographics and work habits. The sample of 3,370 workers contains any number of interesting findings, but it has its limits. This canvassing emerges from an opt-in sample of those who were active on MTurk during this particular period, who saw our survey and who had the time and interest to respond. It does not represent all active Turkers in this period or, more broadly, all workers on MTurk.

Finally, this report uses data collected by the online tool mturk-tracker, which is run by Dr. Panagiotis G. Ipeirotis of the New York University Stern School of Business, to examine the amount of activity occurring on the site. The mturk-tracker data are publically available online, though the insights presented here have not been previously published elsewhere….(More)”

Solving All the Wrong Problems


Allison Arieff in the New York Times:Every day, innovative companies promise to make the world a better place. Are they succeeding? Here is just a sampling of the products, apps and services that have come across my radar in the last few weeks:

A service that sends someone to fill your car with gas.

A service that sends a valet on a scooter to you, wherever you are, to park your car.

A service that will film anything you desire with a drone….

We are overloaded daily with new discoveries, patents and inventions all promising a better life, but that better life has not been forthcoming for most. In fact, the bulk of the above list targets a very specific (and tiny!) slice of the population. As one colleague in tech explained it to me recently, for most people working on such projects, the goal is basically to provide for themselves everything that their mothers no longer do….When everything is characterized as “world-changing,” is anything?

Clay Tarver, a writer and producer for the painfully on-point HBO comedy “Silicon Valley,” said in a recent New Yorker article: “I’ve been told that, at some of the big companies, the P.R. departments have ordered their employees to stop saying ‘We’re making the world a better place,’ specifically because we have made fun of that phrase so mercilessly. So I guess, at the very least, we’re making the world a better place by making these people stop saying they’re making the world a better place.”

O.K., that’s a start. But the impulse to conflate toothbrush delivery with Nobel Prize-worthy good works is not just a bit cultish, it’s currently a wildfire burning through the so-called innovation sector. Products and services are designed to “disrupt” market sectors (a.k.a. bringing to market things no one really needs) more than to solve actual problems, especially those problems experienced by what the writer C. Z. Nnaemeka has described as “the unexotic underclass” — single mothers, the white rural poor, veterans, out-of-work Americans over 50 — who, she explains, have the “misfortune of being insufficiently interesting.”

If the most fundamental definition of design is to solve problems, why are so many people devoting so much energy to solving problems that don’t really exist? How can we get more people to look beyond their own lived experience?

In “Design: The Invention of Desire,” a thoughtful and necessary new book by the designer and theorist Jessica Helfand, the author brings to light an amazing kernel: “hack,” a term so beloved in Silicon Valley that it’s painted on the courtyard of the Facebook campus and is visible from planes flying overhead, is also prison slang for “horse’s ass carrying keys.”

To “hack” is to cut, to gash, to break. It proceeds from the belief that nothing is worth saving, that everything needs fixing. But is that really the case? Are we fixing the right things? Are we breaking the wrong ones? Is it necessary to start from scratch every time?…

Ms. Helfand calls for a deeper embrace of personal vigilance: “Design may provide the map,” she writes, “but the moral compass that guides our personal choices resides permanently within us all.”

Can we reset that moral compass? Maybe we can start by not being a bunch of hacks….(More)”

Smart Cities – International Case Studies


“These case studies were developed by the Inter-American Development Bank (IDB), in association with the Korea Research Institute for Human Settlements (KRIHS).

Anyang, Korea Anyang, a 600,000 population city near Seoul is developing international recognition on its smart city project that has been implemented incrementally since 2003. This initiative began with the Bus Information System to enhance citizen’s convenience at first, and has been expanding its domain into wider Intelligent Transport System as well as crime and disaster prevention in an integrated manner. Anyang is considered a benchmark for smart city with a 2012 Presidential Award in Korea and receives large number of international visits. Anyang’s Integrated Operation and Control Center (IOCC) acts as the platform that gathers, analyzes and distributes information for mobility, disasters management and crime. Anyang is currently utilizing big data for policy development and is continuing its endeavor to expand its smart city services into areas such as waste and air quality management. Download Anyang case study

Medellín, Colombia Medellin is a city that went from being known for its security problems to being an international referent of technological and social innovation, urban transformation, equity, and citizen participation. This report shows how Medellin has implemented a series of strategies that have made it a smart city that is developing capacity and organic structure in the entities that control mobility, the environment, and security. In addition, these initiatives have created mechanisms to communicate and interact with citizens in order to promote continuous improvement of smart services.

Through the Program “MDE: Medellin Smart City,” Medellin is implementing projects to create free Internet access zones, community centers, a Mi-Medellin co-creation portal, open data, online transactions, and other services. Another strategy is the creation of the Smart Mobility System which, through the use of technology, has achieved a reduction in the number of accidents, improvement in mobility, and a reduction in incident response time. Download Medellin case study

Namyangju, Korea

Orlando, U.S.

Pangyo, Korea

Rio de Janeiro, Brazil… 

Santander, España

Singapore

Songdo, Korea

Tel Aviv, Israel(More)”