Station display shows waiting commuters the best train carriage to get on


Springwise: “When a train arrives into a station, it’s often the case that travelers aren’t spread evenly along the platform and are huddled in the same spot. This is annoying for both commuters and operators because it means carriages get full while others are left empty and leads to longer boarding times. In the Netherlands, the NS Reisplanner Xtra app has already offered train users a way to find a seat using their smartphone. Now the country’s Edenspiekermann design agency has developed a platform-length LED display which provides real-time information on carriage crowdedness and other details.
Created for train operators ProRail and NS with the help of design researchers STBY, the service consists of a 180-meter long color LED strip that spans the length of the platform. The display aims to give commuters all the information they need to know where they should wait to get on the right carriage. Numbers show whether the carriage is first or standard class, and the exact position the doors will be is also marked. Symbols show the carriages that are best for bikes, buggies, wheelchairs and large luggage, as well as quiet carriages. The boards also work with infrared sensors located on each train that detect how full each carriage is. A green strip means there are seats available, a yellow strip indicates that the carriage is fairly crowded and a red strip means it’s full.
Website: www.edenspiekermann.com

As Data Overflows Online, Researchers Grapple With Ethics


at The New York Times: “Scholars are exhilarated by the prospect of tapping into the vast troves of personal data collected by Facebook, Google, Amazon and a host of start-ups, which they say could transform social science research.

Once forced to conduct painstaking personal interviews with subjects, scientists can now sit at a screen and instantly play with the digital experiences of millions of Internet users. It is the frontier of social science — experiments on people who may never even know they are subjects of study, let alone explicitly consent.

“This is a new era,” said Jeffrey T. Hancock, a Cornell University professor of communication and information science. “I liken it a little bit to when chemistry got the microscope.”

But the new era has brought some controversy with it. Professor Hancock was a co-author of the Facebook study in which the social network quietly manipulated the news feeds of nearly 700,000 people to learn how the changes affected their emotions. When the research was published in June, the outrage was immediate…

Such testing raises fundamental questions. What types of experiments are so intrusive that they need prior consent or prompt disclosure after the fact? How do companies make sure that customers have a clear understanding of how their personal information might be used? Who even decides what the rules should be?

Existing federal rules governing research on human subjects, intended for medical research, generally require consent from those studied unless the potential for harm is minimal. But many social science scholars say the federal rules never contemplated large-scale research on Internet users and provide inadequate guidance for it.

For Internet projects conducted by university researchers, institutional review boards can be helpful in vetting projects. However, corporate researchers like those at Facebook don’t face such formal reviews.

Sinan Aral, a professor at the Massachusetts Institute of Technology’s Sloan School of Management who has conducted large-scale social experiments with several tech companies, said any new rules must be carefully formulated.

“We need to understand how to think about these rules without chilling the research that has the promise of moving us miles and miles ahead of where we are today in understanding human populations,” he said. Professor Aral is planning a panel discussion on ethics at a M.I.T. conference on digital experimentation in October. (The professor also does some data analysis for The New York Times Company.)

Mary L. Gray, a senior researcher at Microsoft Research and associate professor at Indiana University’s Media School, who has worked extensively on ethics in social science, said that too often, researchers conducting digital experiments work in isolation with little outside guidance.

She and others at Microsoft Research spent the last two years setting up an ethics advisory committee and training program for researchers in the company’s labs who are working with human subjects. She is now working with Professor Hancock to bring such thinking to the broader research world.

“If everyone knew the right thing to do, we would never have anyone hurt,” she said. “We really don’t have a place where we can have these conversations.”…

Delivering a Customer-Focused Government Through Smarter IT


Beth Cobert, Steve VanRoekel, and Todd Park at the White House: “As technology changes, government must change with it to address new challenges and take advantage of new opportunities. This Administration has made important strides in modernizing government so that it serves its constituents more effectively and efficiently, but we know there is much more to do.
Last year, a group of digital and technology experts from the private sector helped us fix HealthCare.gov – a turnaround that enabled millions of Americans to sign up for quality health insurance. This effort also reminded us why the President’s commitment to bringing more of the nation’s top information technology (IT) talent into government is so critical to delivering the best possible results for our customers – the American people.
A core part of the President’s Management Agenda is improving the value we deliver to citizens through Federal IT. That’s why, today, the Administration is formally launching the U.S. Digital Service. The Digital Service will be a small team made up of our country’s brightest digital talent that will work with agencies to remove barriers to exceptional service delivery and help remake the digital experience that people and businesses have with their government…
The Digital Service will also collaborate closely with 18F, an exciting new unit of the U.S. General Services Administration (GSA). GSA’s 18F houses a growing group of talented developers and digital professionals who are designing and building the actual digital platforms and providing services across the government….
Leveraging Best Practices with the Digital Services Playbook
To help the Digital Service achieve its mission, today the Administration is releasing the initial version of a Digital Services Playbook that lays out best practices for building effective digital services like web and mobile applications and will serve as a guide for agencies across government. To increase the success of government digital service projects, this playbook outlines 13 key “plays” drawn from private and public-sector best practices that, if followed together, will help federal agencies deliver services that work well for users and require less time and money to develop and operate.
The technologies used to create digital services are changing rapidly. The Playbook is designed to encourage the government to adopt the best of these advances into our own work. To further strengthen this important tool, we encourage folks across the public and private sectors to provide feedback on the Playbook, so we can strengthen this important tool.
Using Agile Processes to Procure Digital Services with the TechFAR Handbook
To ensure government has the right tech tools to do its job, the Administration is also today launching the TechFAR Handbook, a guide that explains how agencies can execute key plays in the Playbook in ways consistent with the Federal Acquisition Regulation (FAR), which governs how the government must buy services from the private sector….
Stay informed — sign up here to monitor the latest news from the U.S. Digital Service.

What Cars Did for Today’s World, Data May Do for Tomorrow’s


Quentin Hardy in the New York Times: “New technology products head at us constantly. There’s the latest smartphone, the shiny new app, the hot social network, even the smarter thermostat.

As great (or not) as all these may be, each thing is a small part of a much bigger process that’s rarely admired. They all belong inside a world-changing ecosystem of digital hardware and software, spreading into every area of our lives.

Thinking about what is going on behind the scenes is easier if we consider the automobile, also known as “the machine that changed the world.” Cars succeeded through the widespread construction of highways and gas stations. Those things created a global supply chain of steel plants and refineries. Seemingly unrelated things, including suburbs, fast food and drive-time talk radio, arose in the success.

Today’s dominant industrial ecosystem is relentlessly acquiring and processing digital information. It demands newer and better ways of collecting, shipping, and processing data, much the way cars needed better road building. And it’s spinning out its own unseen businesses.

A few recent developments illustrate the new ecosystem. General Electric plans to announce Monday that it has created a “data lake” method of analyzing sensor information from industrial machinery in places like railroads, airlines, hospitals and utilities. G.E. has been putting sensors on everything it can for a couple of years, and now it is out to read all that information quickly.

The company, working with an outfit called Pivotal, said that in the last three months it has looked at information from 3.4 million miles of flights by 24 airlines using G.E. jet engines. G.E. said it figured out things like possible defects 2,000 times as fast as it could before.

The company has to, since it’s getting so much more data. “In 10 years, 17 billion pieces of equipment will have sensors,” said William Ruh, vice president of G.E. software. “We’re only one-tenth of the way there.”

It hardly matters if Mr. Ruh is off by five billion or so. Billions of humans are already augmenting that number with their own packages of sensors, called smartphones, fitness bands and wearable computers. Almost all of that will get uploaded someplace too.

Shipping that data creates challenges. In June, researchers at the University of California, San Diego announced a method of engineering fiber optic cable that could make digital networks run 10 times faster. The idea is to get more parts of the system working closer to the speed of light, without involving the “slow” processing of electronic semiconductors.

“We’re going from millions of personal computers and billions of smartphones to tens of billions of devices, with and without people, and that is the early phase of all this,” said Larry Smarr, drector of the California Institute for Telecommunications and Information Technology, located inside U.C.S.D. “A gigabit a second was fast in commercial networks, now we’re at 100 gigabits a second. A terabit a second will come and go. A petabit a second will come and go.”

In other words, Mr. Smarr thinks commercial networks will eventually be 10,000 times as fast as today’s best systems. “It will have to grow, if we’re going to continue what has become our primary basis of wealth creation,” he said.

Add computation to collection and transport. Last month, U.C. Berkeley’s AMP Lab, created two years ago for research into new kinds of large-scale computing, spun out a company called Databricks, that uses new kinds of software for fast data analysis on a rental basis. Databricks plugs into the one million-plus computer servers inside the global system of Amazon Web Services, and will soon work inside similar-size megacomputing systems from Google and Microsoft.

It was the second company out of the AMP Lab this year. The first, called Mesosphere, enables a kind of pooling of computing services, building the efficiency of even million-computer systems….”

How you can help build a more agile government


at GovFresh: “Earlier this year, I began doing research work with CivicActions on agile development in government — who was doing it, how and what the needs were to successfully get it deployed.
After the Healthcare.gov launch mishaps, calls for agile practices as the panacea to all of government IT woes reached a high. While agile as the ultimate solution oversimplifies the issue, we’ve evolved as a profession (both software development and public service) that moving towards an iterative approach to operations is the way of the future.
My own formal introduction with agile began with my work with CivicActions, so the research coincided with an introductory immersion into how government is using it. Having been involved with startups for the past 15 years, iterative development is the norm, however, the layer of project management processes has forced me to be a better professional overall.
What I’ve found through many discussions and interviews is that you can’t just snap your fingers and execute agile within the framework of government bureaucracy. There are a number of issues — from procurement to project management training to executive-level commitment to organizational-wide culture change — that hinder its adoption. For IT, launching a new website or app is this easy part. Changing IT operational processes and culture is often overlooked or avoided, especially for a short-term executive, because they reach into the granular organizational challenges most people don’t want to bother with.
After talking with a number of agile government and private sector practitioners, it was clear there was enthusiasm around how it could be applied to fundamentally change the way government works. Beyond just execution from professional project management professionals, everyone I spoke with talked about how deploying agile gives them a stronger sense of public service.
What came from these discussions is the desire to have a stronger community of practitioners and those interested in deploying it to better support one another.
To meet that need, a group of federal, state, local government and private sector professionals have formed Agile for Gov, a “community-powered network of agile government professionals.”…

Let the games begin: how government is using ‘gamification’ to change public behaviour


Joshua Chambers at FutureGov: “Governments across the region are turning to “gamification” – otherwise known as “game science” – to help create new ways to persuade their populations.
FutureGov recently attended a session at GovCamp Australia where officials discussed the potential of this new approach. It has pulled together the best examples of successful government games, and sought advice from the private sector on building something that will achieve results.
How it works
How does gamification work? It creates an environment where people play games to win prizes or compete against one another, all while learning about about a new message or behaving in a certain, desirable manner. The approach can be used by every type of agency, and has been trialled on public sector campaigns including military recruitment, physical fitness, speeding prevention, consumer rights awareness and even making citizens engage with census data.
For example, it was used by the Department of Justice of Victoria, Australia when they wanted to make young people aware of consumer protection laws. Discussion of legal concepts did not seem particularly appealing, so they took a different tack by launching a game called Party for Your Rights. “It’s targeted at young people, teaching them their rights through the activity of going to a party. It’s very appealing, with retro 1980s graphics and music,” explained Paul Chandley, general manager of digital strategy and engagement in the Victorian Department of Justice.
Since its launch in June 2014, it has been played 23,000 times. A survey found that 96% of players surveyed said they felt either more informed of their rights or more confident about using their rights after interacting with the game.
The game proved popular in Australia and there are plenty of other examples of successful games built by government agencies – FutureGov has profiled the six best examples of gamification in government.…”
See also:

Collective Genius


Linda A. Hill, Greg Brandeau, Emily Truelove, and Kent Lineback in HBR Review: “Google’s astonishing success in its first decade now seems to have been almost inevitable. But step inside its systems infrastructure group, and you quickly learn otherwise. The company’s meteoric growth depended in large part on its ability to innovate and scale up its infrastructure at an unprecedented pace. Bill Coughran, as a senior vice president of engineering, led the group from 2003 to 2011. His 1,000-person organization built Google’s “engine room,” the systems and equipment that allow us all to use Google and its many services 24/7. “We were doing work that no one else in the world was doing,” he says. “So when a problem happened, we couldn’t just go out and buy a solution. We had to create it.”
Coughran joined Google in 2003, just five years after its founding. By then it had already reinvented the way it handled web search and data storage multiple times. His group was using Google File System (GFS) to store the massive amount of data required to support Google searches. Given Google’s ferocious appetite for growth, Coughran knew that GFS—once a groundbreaking innovation—would have to be replaced within a couple of years. The number of searches was growing dramatically, and Google was adding Gmail and other applications that needed not just more storage but storage of a kind different from what GFS had been optimized to handle.
Building the next-generation system—and the next one, and the one after that—was the job of the systems infrastructure group. It had to create the new engine room, in-house, while simultaneously refining the current one. Because this was Coughran’s top priority—and given that he had led the storied Bell Labs and had a PhD in computer science from Stanford and degrees in mathematics from Caltech—one might expect that he would first focus on developing a technical solution for Google’s storage problems and then lead his group through its implementation.
But that’s not how Coughran proceeded. To him, there was a bigger problem, a perennial challenge that many leaders inevitably come to contemplate: How do I build an organization capable of innovating continually over time? Coughran knew that the role of a leader of innovation is not to set a vision and motivate others to follow it. It’s to create a community that is willing and able to generate new ideas…”

The Emergence of Government Innovation Teams


Hollie Russon Gilman at TechTank: “A new global currency is emerging.  Governments understand that people at home and abroad evaluate them based on how they use technology and innovative approaches in their service delivery and citizen engagement.  This raises opportunities, and critical questions about the role of innovation in 21st century governance.
Bloomberg Philanthropies and Nesta, the UK’s Innovation foundation, recently released a global report highlighting 20 government innovation teams.  Importantly, the study included teams that were established and funded by all levels of government (city, regional and national), and aims to find creative solutions to seemingly intractable solutions. This report features 20 teams across six continents and features some basic principles and commonalities that are instructive for all types of innovators, inside and outside, of government.
Using Government to Locally Engage
One of the challenges of representational democracy is that elected officials and government officials spend time in bureaucracies isolated from the very people they aim to serve.  Perhaps there can be different models.  For example, Seoul’s Innovation Bureau is engaging citizens to re-design and re-imagine public services.  Seoul is dedicated to becoming a Sharing City; including Tool Kit Centers where citizens can borrow machinery they would rarely use that would also benefit the whole community. This approach puts citizens at the center of their communities and leverages government to work for the people…
As I’ve outlined in a earlier TechTank post, there are institutional constraints for governments to try the unknown.  There are potential electoral costs, greater disillusionment, and gaps in vital service delivery. Yet, despite all of these barriers there are a variety of promising tools. For example, Finland has Sitra, an Innovation fund, whose mission is to foster experimentation to transform a diverse set of policy issues including sustainable energy and healthcare. Sitra invests in both the practical research and experiments to further public sector issues as well as invest in early stage companies.
We need a deeper understanding of the opportunities, and challenges, of innovation in government.    Luckily there are many researchers, think-tanks, and organizations beginning analysis.  For example, Professor and Associate Dean Anita McGahan, of the Rotman School of Management at the University of Toronto, calls for a more strategic approach toward understanding the use of innovation, including big data, in the public sector…”

In Tests, Scientists Try to Change Behaviors


Wall Street Journal: “Behavioral scientists look for environmental ‘nudges’ to influence how people act. Pelle Guldborg Hansen, a behavioral scientist, is trying to figure out how to board passengers on a plane with less fuss.
The goal is to make plane-boarding more efficient by coaxing passengers to want to be more orderly, not by telling them they must. It is one of many projects in which Dr. Hansen seeks to encourage people, when faced with options, to make better choices. Among these: prompting people to properly dispose of cigarette butts outside of bars and clubs and inducing hospital workers to use hand sanitizers.
Dr. Hansen, 37 years old, is director of the Initiative for Science, Society & Policy, a collaboration of the University of Southern Denmark and Roskilde University. The concept behind his work is known commonly as a nudge, dubbed such because of the popular 2008 book of the same name by U.S. academics Richard Thaler and Cass Sunstein that examined how people make decisions.
At the Copenhagen airport, Dr. Hansen recently deployed a team of three young researchers to mill about a gate in terminal B. The trio was dressed casually in jeans and wore backpacks. They blended in with the passengers, except for the badges they wore displaying airport credentials, and the clipboards and pens they carried to record how the boarding process unfolds.
Thirty-five minutes before a flight departed, the team got into position. Andreas Rathmann Jensen stood in one corner, then moved to another, so he could survey the entire gate area. He mapped where people were sitting and where they placed their bags. This behavior can vary depending, for example, if people are flying alone, with a partner or in a group.
Johannes Schuldt-Jensen circulated among the rows and counted how many bags were blocking seats and how many seats were empty as boarding time approached. He wore headphones, though he wasn’t listening to music, because people seem less suspicious of behavior when a person has headphones on, he says. Another researcher, Kasper Hulgaard, counted how many people were standing versus sitting.
The researchers are mapping out gate-seating patterns for a total of about 500 flights. Some early observations: The more people who are standing, the more chaotic boarding tends to be. Copenhagen airport seating areas are designed for groups, even though most travelers come solo or in pairs. Solo flyers like to sit in a corner and put their bag on an adjacent seat. Pairs of travelers tend to perch anywhere as long as they can sit side-by-side….”

Opportunities for strengthening open meetings with open data


at the Sunlight Foundation Blog: “Governments aren’t alone in thinking about how open data can help improve the open meetings process. There are an increasing number of tools governments can use to help bolster open meetings with open data. From making public records generated by meetings more easily accessible and reusable online to inviting the public to participate in the decision-making process from wherever they may be, these tools allow governments to upgrade open meetings for the opportunities and demands of the 21st Century.
Improving open meetings with open data may involve taking advantage of simple solutions already freely available online, developing new tools within government, using open-source tools, or investing in new software, but it can all help serve the same goal: bringing more information online where it’s easily accessible to the public….
It’s not just about making open meetings more accessible, either. More communities are thinking about how they can bring government to the people. Open meetings are typically held in government-designated buildings at specified times, but are those locations and times truly accessible for most of the public or for those who may be most directly impacted by what’s being discussed?
Technology presents opportunities for governments to engage with the public outside of regularly scheduled meetings. Tools like Speakup and Textizen, for example, are being used to increase public participation in the general decision-making process. A continually increasing array of toolsprovidenewways for government and the public to identify issues, share ideas, and work toward solutions, even outside of open meetings. Boston, for example, took an innovative approach to this issue with its City Hall To Go truck and other efforts, bringing government services to locations around the city rather than requiring people to come to a government building…”