More Kirk than Spock


The Economist: “Behavioural economics has made headway, but still has a long way to go… CAB drivers have good days and bad days, depending on the weather or special events such as a convention. If they were rational, they would work hardest on the good days (to maximise their take) but give up early when fares are few and far between. In fact, they do the opposite. It seems they have a mental target for their desired daily income and they work long enough to reach it, even though that means working longer on slow days and going home early when fares are plentiful.

Human beings are not always logical. We treat windfall gains differently from our monthly salary. We value things that we already own more highly than equivalent things we could easily buy. Our responses to questions depends very much on how the issue is framed: we think surcharges on credit-card payments are unfair, but believe a discount for paying with cash is reasonable.

None of these foibles will be a surprise to, well, humans. But they are not allowed for in many macroeconomic models, which tend to assume people actually come from the planet Vulcan, all coolly maximising their utility at every stage. Over the past 30-40 years, in contrast, behavioural economists have explored the way that individuals actually make decisions, and have concluded that we are more Kirk than Spock.

In his new book “Misbehaving: The Making of Behavioural Economics”, Richard Thaler describes his struggles to persuade mainstream economists of all this. The results of behavioural research were at first dismissed as trivial, or the consequences of unrealistic laboratory experiments. It was argued that in the real world, ordinary people might not always think straight but that the professionals who make the big decisions would. Mr Thaler shows neatly, however, that the coaches and owners of professional American football teams, for instance, make consistent errors in the yearly “draft” to pick new players, placing far too much emphasis on their first choices….(More)”

Toward a Research Agenda on Opening Governance


Members of the MacArthur Research Network on Opening Governance at Medium: “Society is confronted by a number of increasingly complex problems — inequality, climate change, access to affordable healthcare — that often seem intractable. Existing societal institutions, including government agencies, corporations and NGOs, have repeatedly proven themselves unable to tackle these problems in their current composition. Unsurprisingly, trust in existing institutions is at an all-time low.

At the same time, advances in technology and sciences offer a unique opportunity to redesign and reinvent our institutions. Increased access to data may radically transform how we identify problems and measure progress. Our capacity to connect with citizens could greatly increase the knowledge and expertise available to solve big public problems. We are witnessing, in effect, the birth of a new paradigm of governance — labeled “open governance” — where institutions share and leverage data, pursue collaborative problem-solving, and partner with citizens to make better decisions. All of these developments offer a potential solution to the crisis of trust and legitimacy confronting existing institutions.

But for the promise of open governance, we actually know very little about its true impact, and about the conditions and contingencies required for institutional innovation to really work. Even less is known about the capabilities that institutions must develop in order to be able to take advantage of new technologies and innovative practices. The lack of evidence is holding back positive change. It is limiting our ability to improve people’s lives.

The MacArthur Foundation Research Network on Opening Governance seeks to address these shortcomings. Convened and organized by the GovLab, and made possible by a three-year, $5 million grant from the John D. and Catherine T. MacArthur Foundation, the Network seeks to build an empirical foundation that will help us understand how democratic institutions are being (and should be) redesigned, and how this in turn influences governance. At its broadest level, the Network seeks to create a new science of institutional innovation.

In what follows, we outline a research agenda and a set of deliverables for the coming years that can deepen our understanding of “open governance.” More specifically the below seeks:

  • to frame and contextualize the areas of common focus among the members;
  • to guide the targeted advancement of Network activities;
  • to catalyze opportunities for further collaboration and knowledge exchange between Network members and those working in the field at large.

A core objective of the Network is to conduct research based on, and that has relevance for, real-world institutions. Any research that is solely undertaken in the lab, far from the actual happenings the Network seeks to influence and study, is deemed to be insufficient. As such, the Network is actively developing flexible, scalable methodologies to help analyze the impact of opening governance. In the spirit of interdisciplinarity and openness that defines the Network, these methodologies are being developed collaboratively with partners from diverse disciplines.

The below seeks to provide a framework for those outside the Network — including those who would not necessarily characterize their research as falling under the banner of opening governance — to undertake empirical, agile research into the redesign and innovation of governance processes and the solving of public problems….(More)”

Service Innovation Handbook


Book Description: “Intrigued by terms such as design thinking, service design and experience design? Lucy Kimbell’s Service Innovation Handbook brings together the latest academic research, and leading examples of innovative service organizations and the consultancies they work with, to outline what is involved in designing innovative services.

This book provides a language and practical concepts to help readers start brining these approaches into their own organizations. It’s aimed at people studying or working in contexts trying to tackle complex challenges through service innovation, who might come from backgrounds in design, user research, IT, management, policy or entrepreneurship.

Organized in eight chapters, Service Innovation Handbook includes 15 practical tools to stimulate creative approaches at the early stages of designing innovative services and 16 cases describing how different organizations have designed services.

Examples come from big firms such as Google, Microsoft, Barclays and Capita as well as start-ups, small businesses, social innovation and policy contexts. Examples include Airbnb, the Danish prison and probation service, Kaiser Permanente, churn in mobile phone customers, voter registration, high end car servicing and the Frugal Digital initiative. Each chapter combines academic research from several fields to help readers make sense of why organizations design innovative services, and what is involved in doing this.

The book helps readers understand how designing innovative services is distinct from other kinds of innovation and designing. It also outlines the key activities they can undertake at an early stage of an innovation process that support collective action when ambiguity is high, the impact of changes is significant and investment is low.

Illustrated and designed by Andrew Boag, the book makes complex ideas accessible, making it a practical resource for managers, designers, technologists and entrepreneurs….(More)

The Incredible Jun: A Town that Runs on Social Media


Deb Roy and William Powers in the Huffington Post:For the last four years, a town in southern Spain has been conducting a remarkable experiment in civic life. Jun (pronounced “hoon”) has been using Twitter as its principal medium for citizen-government communication. Leading the effort is Jun’s Mayor, José Antonio Rodríguez Salas, a passionate believer in the power of technology to solve problems and move society forward.

Since launching the initiative in 2011, Rodríguez Salas has been recruiting his 3,500 townspeople to not only join the social network but have their Twitter accounts locally verified at town hall. This extra step isn’t necessary to participate in the conversation – Twitter is open to anyone – but it helps town employees know they’re dealing with actual residents.

In the most basic scenario, a citizen who has a question, request or complaint tweets it to the mayor or one of his staff, who work to resolve the matter. For instance, in the sequence of tweets shown below (which we pulled from the 2014 Twitter data and translated into English), at 10:48 pm a citizen tells the mayor that a street lamp is out on Maestro Antonio Linares Street. Nine minutes later, the mayor replies that he’ll have the town electrician fix it the next day. The mayor’s tweet includes the Twitter handle of the electrician, who is automatically notified that he’s been mentioned and sees the exchange. That tweet is a public promise that the town will indeed take action, and to underline this it ends with the hashtag #JunGetsMoving. The next day, the electrician tweets a photo of the repaired fixture, thanking the citizen for his help and repeating the hashtag.

A citizen alerts the mayor to a broken street lamp. Two tweets later, it’s fixed.

Governments have been responding to citizens for centuries. But digital networks have made it possible to build much faster, more efficient feedback loops. Each of the participants in the above transaction wrote a single text of less than 140 characters, and in less than 24 hours the problem was solved….(More)”

Moving Cities Beyond Performance Measurement


Pew Charitable Trust: “The recent explosion in the availability of data is changing the way Americans make decisions and do business in fields as diverse as sports, public health, shopping, and politics. The business of government is no exception. At the local level, new methods of collecting and analyzing information have varied and far-reaching effects on the ability of leaders to understand and work within their fiscal constraints and meet residents’ needs.

Local governments have used performance measurement—collecting and studying data with the aim of improving operating efficiency and effectiveness—for decades, but today’s cities have access to a wealth of other data. Those on the cutting edge are using these data with new analytical tools in innovative ways that often reach beyond the conventional definition of performance measurement. For example, theNew York City Fire Department compiles information from various city departments about building characteristics—such as construction material, fireproofing, height, date of construction, and last inspection date—to prioritize buildings for inspections.Boston uses a cellphone app, called Street Bump, to help detect potholes using the accelerometers built into cellphones.

What’s new, beyond the sheer volume of data, to help governments improve?

  • Local governments previously examined statistics only within individual departments. Today, they are gleaning new insights by combining data across agencies.
  • Government officials typically reviewed performance statistics only periodically—annually, semiannually, or quarterly. Now they often have access to usable data in real time, allowing them to be more responsive and efficient.
  • In the past, cities primarily used analytics to understand past events. Today, some are exploring predictive analytics, using data to anticipate occurrences and outcomes….(More)”

Monithon


“Moni-thon” comes from “monitor” and “marathon”, and this is precisely what this platform seeks to help with: anintensive activity of observing and reporting of public policies in Italy.

What’s there to monitor?  Monithon was born as an independently developed initiative to promote the citizen monitoring of development projects funded both by the Italian government and the EU through the Cohesion (aka. Regional) Policy. Projects include a wide range of interventions such as large transport, digital, research or environmental infrastructures (railroads, highways, broadband networks, waste management systems…), aids to enterprises to support innovation and competitiveness, and other funding for energy efficiency, social inclusion, education and training, occupation and workers mobility, tourism, etc.

Citizen monitoring of these projects is possible thanks to a combination of open government data and citizens’ collaboration, joined by the goal of controlling how the projects are progressing, and whether they deliver actual results.

The Italian government releases the information on all the 800k+ projects funded (worth almost 100 billion Euros), the beneficiaries of the subsidies and all the actors involved as open data, including the location and the timing of the intervention. All the data is integrated with interactive visualizations on the national portal OpenCoesione, where people can play with the data and find the most interesting projects to follow.

The Monithon initiative takes this transparency further: it asks citizens to actively engage with open government data and to produce valuable information through it.

How does it work? Monithon means active involvement of communities and a shared methodology. Citizens, journalist, experts, researchers, students – or all combined – collect information on a specific project chosen from the OpenCoesione database. Then this information can be uploaded on the Monithon platform (based on Ushahidi) by selecting the projects from a list and it can be geo-referenced and enriched with interviews, quantitative data, pictures, videos. The result is a form of civic, bottom-down, collective data storytelling. All the “wannabe monithoners” can download this simple toolkit, a 10-page document that describes the initiative and explains how to pick a project to monitor and get things started.  ….

How to achieve actual impact? The Monithon platform is method and a model whereby citizen monitoring may be initiated and a tool for civic partners to press forward, to report on malpractice, but also to collaborate in making all these projects work, in accelerating their completion and understanding whether they actually respond to local demand. ….

Monithon has rapidly evolved from being an innovative new platform into a transferable civic engagement format.  Since its launch in September 2013, Monithon has drawn dozens of national and local communities (some formed on purpose, other based on existing associations) and around 500 people into civic monitoring activities, mostly in Southern Italy, where cohesion funds are more concentrated. Specific activities are carried out by established citizen groups, like Libera, a national anti-Mafia association, which became Monithon partner, focusing their monitoring on the rehabilitation of Mafia-seized properties. Action Aid is now partnering with Monithon to promote citizen empowerment. Existing, local groups of activists are using the Monithon methodology to test local transportation systems that benefited from EU funding, while new groups have formed to begin monitoring social innovation and cultural heritage projects.

Now more than 50 “citizen monitoring reports”, which take the form of collective investigations on project development and results, are publicly available on the Monithon website, many of which spurred further dialogue with public administrations….(More)

Data Fusion Heralds City Attractiveness Ranking


Emerging Technology From the arXiv: “The ability of any city to attract visitors is an important metric for town planners, businesses based on tourism, traffic planners, residents, and so on. And there are increasingly varied ways of measuring this thanks to the growing volumes of city-related data generated by with social media, and location-based data.

So it’s only natural that researchers would like to draw these data sets together to see what kind of insight they can get from this form of data fusion.

And so it has turned out thanks to the work of Stanislav Sobolevsky at MIT and a few buddies. These guys have fused three wildly different data sets related to the attractiveness of a city that allows them to rank these places and to understand why people visit them and what they do when they get there.

The work focuses exclusively on cities in Spain using data that is relatively straightforward to gather. The first data set consists of the number of credit and debit card transactions carried out by visitors to cities throughout Spain during 2011. This includes each card’s country of origin, which allows Sobolevsky and co to count only those transactions made by foreign visitors—a total of 17 million anonymized transactions from 8.6 million foreign visitors from 175 different countries.

The second data set consists of over 3.5 million photos and videos taken in Spain and posted to Flickr by people living in other countries. These pictures were taken between 2005 and 2014 by 16,000 visitors from 112 countries.

The last data set consists of around 700,000 geotagged tweets posted in Spain during 2012. These were posted by 16,000 foreign visitors from 112 countries.

Finally, the team defined a city’s attractiveness, at least for the purposes of this study, as the total number of pictures, tweets and card transactions that took place within it……

That’s interesting work that shows how the fusion of big data sets can provide insights into the way people use cities.   It has its limitations of course. The study does not address the reasons why people find cities attractive and what draws them there in the first place. For example, are they there for tourism, for business, or for some other reason. That would require more specialized data.

But it does provide a general picture of attractiveness that could be a start for more detailed analyses. As such, this work is just a small part of a new science of cities based on big data, but one that shows how much is becoming possible with just a little number crunching.

Ref: arxiv.org/abs/1504.06003 : Scaling of city attractiveness for foreign visitors through big data of human economic and social media activity”

How Not to Drown in Numbers


Seth Stephens-Davidowitz in the New York Times: “BIG data will save the world. How often have we heard that over the past couple of years? We’re pretty sure both of us have said something similar dozens of times in the past few months.

If you’re trying to build a self-driving car or detect whether a picture has a cat in it, big data is amazing. But here’s a secret: If you’re trying to make important decisions about your health, wealth or happiness, big data is not enough.

The problem is this: The things we can measure are never exactly what we care about. Just trying to get a single, easy-to-measure number higher and higher (or lower and lower) doesn’t actually help us make the right choice. For this reason, the key question isn’t “What did I measure?” but “What did I miss?”

So what can big data do to help us make big decisions? One of us, Alex, is a data scientist at Facebook. The other, Seth, is a former data scientist at Google. There is a special sauce necessary to making big data work: surveys and the judgment of humans — two seemingly old-fashioned approaches that we will call small data….(More)”

What makes some federal agencies better than others at innovation


Tom Fox at the Washington Post:Given the complexity and difficulty of the challenges that government leaders face, encouraging innovation among their workers can pay dividends. Government-wide employee survey data, however, suggest that much more needs to be done to foster this type of culture at many federal organizations.

According to that data, nearly 90 percent of federal employees are looking for ways to be more innovative and effective, but only 54 percent feel encouraged by their leaders to come up with new ways of doing work. To make matters worse, fewer than a third say they believe creativity and innovation are rewarded in their agencies.

It’s worth pausing to examine what sets apart those agencies that do. They tend to have developed innovative cultures by providing forums for employees to share and test new ideas, by encouraging responsible risk-taking, and by occasionally bringing in outside talent for rotational assignments to infuse new thinking into the workplace.

The Department of Health and Human Services (HHS) is one example of an agency working at this. In 2010 it created the Idea Lab, with the goal to “remove barriers HHS employees face and promote better ways of working in government.”

It launched an awards program as part of Idea Lab called HHS Innovates to identify promising, new ideas likely to improve effectiveness. And to directly support implementing these ideas, the lab launched HHS Ignites, which provides teams with seed funding of $5,000 and a three-month timeframe to work on approved action plans. When the agency needs a shot of outside inspiration, it has its Entrepreneurs-in-Residence program, which enlists experts from the private and nonprofit sectors to join HHS for one or two years to develop new approaches and improve practices….

While the HHS Idea Lab program is a good concept, it’s the agency’s implementation that distinguishes it from other government efforts. Federal leaders elsewhere would be wise to borrow a few of their tactics.

As a starting point, federal leaders should issue a clear call for innovation that demands a measurable result. Too often, leaders ask for changes without any specificity as to the result they are looking to achieve. If you want your employees to be more innovative, you need to set a concrete, data-driven goal — whether that’s to reduce process steps or process times, improve customer satisfaction or reduce costs.

Secondly, you should help your employees take their ideas to implementation by playing equal parts cheerleader and drill sergeant. That is, you need to boost their confidence while at the same time pushing them to develop concrete action plans, experiments and measurements to show their ideas deliver results….(More)”

These researchers want to turn phones into earthquake detectors


Russell Brandom in TheVerge: “Early warning on earthquakes can help save lives, but many countries can’t afford them. That’s why scientists are turning to another location sensor already widespread in many countries: the smartphone. A single smartphone makes for a crappy earthquake sensor — but get enough of them reporting, and it won’t matter.

A new study, published today in Science Advances, says that the right network of cell phones might be able to substitute for modern seismograph arrays, providing a crucial early warning in the event of a quake. The study looks at historical earthquake data and modern smartphone hardware (based on the Nexus 5) and comes away with a map of how a smartphone-based earthquake detector might work. As it turns out, a phone’s GPS is more powerful than you might think.

A modern phone has almost everything you could want in an earthquake sensor

Early warning systems are designed to pick up the first tremors of an earthquake, projecting where the incoming quake is centered and how strong it’s likely to be. When they work, the systems are able to give citizens and first responders crucial time to prepare for the quake. There are already seismograph-based systems in place in California, Mexico, and Japan, but poorer countries often don’t have the means to implement and maintain them. This new method wouldn’t be as good as most scientific earthquake sensors, but those can cost tens of thousands of dollars each, making a smartphone-based sensor a lot cheaper. For countries that can’t afford a seismograph-based system (which includes much of the Southern Hemisphere), it could make a crucial difference in catching quakes early.

A modern phone has almost everything you could want in an earthquake sensor: specifically, a GPS-powered location sensor, an accelerometer, and multiple data connections. There are also a lot of them, even in poor countries, so a distributed system could count on getting data points from multiple angles….(More)”