future of work

A Big Day for Big Data: The Beginning of Our Data Transformation

Curated on June 19, 2014May 29, 2019 by Stefaan Verhulst

Mark Doms, Under Secretary for Economic Affairs at the US Department of Commerce: “Wednesday, June 18, 2014, was a big day for big data. The Commerce Department participated in the inaugural Open Data Roundtable at the White House, with GovLab at NYU and the White House Office of Science and Technology Policy. The event brought businesses and non-profit organizations that rely on Commerce data together with Commerce Department officials to discuss how to make the data we collect and release easier to find, understand and use. This initiative has significant potential to fuel new businesses; create jobs; and help federal, state and local governments make better decisions.
OpenData 500

Under Secretary Mark Doms presented and participated in the first Open Data Roundtable at the White House, organized by Commerce, GovLab at NYU and the White House Office of Science and Technology Policy
Data innovation is revolutionizing every aspect of our society and government data is playing a major role in the revolution. From the National Oceanic and Atmospheric Administration’s (NOAA’s) climate data to the U.S. Census Bureau’s American Community Survey, the U.S. Patent and Trademark Office (USPTO) patent and trademark records, and National Institute of Standards and Technology (NIST) research, companies, organizations and people are using this information to innovate, grow our economy and better plan for the future.
At this week’s Open Data 500, some key insights I came away with include:

There is a strong desire for data consistency across the Commerce Department, and indeed the federal government.

Data should be catalogued in a common, machine-readable format.

Data should be accessible in bulk, allowing the private sector greater flexibility to harness the information.

The use of a single platform for access to government data would create efficiencies and help coordination across agencies.

Furthermore, business leaders stand ready to help us achieve these goals.
Secretary Pritzker is the first Secretary of Commerce to make data a departmental priority in the Commerce Department’s Strategic Plan, and has branded Commerce as “America’s Data Agency.” In keeping with that mantra, over the next several months, my team at the Economics and Statistics Administration (ESA), which includes the Bureau of Economic Analysis and the U.S. Census Bureau, will be involved in similar forums. We will be engaging our users – businesses, academia, advocacy organizations, and state and local governments – to drive this open data conversation forward.
Today was a big first step in that process. The insight gained will help inform our efforts ahead. Thanks again to the team at GovLab and the White House for their hard work in making it possible!”

How a Sensor-Filled World Will Change Human Consciousness

Curated on June 19, 2014August 3, 2018 by Stefaan Verhulst

Scientific American: “Here’s a fun experiment: Try counting the electronic sensors surrounding you right now. There are cameras and microphones in your computer. GPS sensors and gyroscopes in your smartphone. Accelerometers in your fitness tracker. If you work in a modern office building or live in a newly renovated house, you are constantly in the presence of sensors that measure motion, temperature and humidity.
Sensors have become abundant because they have, for the most part, followed Moore’s law: they just keep getting smaller, cheaper and more powerful. A few decades ago the gyroscopes and accelerometers that are now in every smartphone were bulky and expensive, limited to applications such as spacecraft and missile guidance. Meanwhile, as you might have heard, network connectivity has exploded. Thanks to progress in microelectronics design as well as management of energy and the electromagnetic spectrum, a microchip that costs less than a dollar can now link an array of sensors to a low-power wireless communications network….”

Government, Foundations Turn to Cash Prizes to Generate Solutions

Curated on June 19, 2014October 10, 2018 by Stefaan Verhulst

Megan O’Neil at the Chronicle of Philanthropy: “Government agencies and philanthropic organizations are increasingly staging competitions as a way generate interest in solving difficult technological, social, and environmental problems, according to a new report.
“The Craft of Prize Design: Lessons From the Public Sector” found that well-designed competitions backed by cash incentives can help organizations attract new ideas, mobilize action, and stimulate markets.
“Incentive prizes have transformed from an exotic open innovation to a proven innovation strategy for the public, private, and philanthropic sectors,” the report says.
Produced by Deloitte Consulting’s innovation practice, the report was financially supported by Bloomberg Philanthropies and the Case; Joyce; John S. and James L. Knight; Kresge; and Rockefeller foundations.
The federal government has staged more than 350 prize competitions during the past five years to stimulate innovation and crowdsource solutions, according to the report. And philanthropic organizations are also fronting prizes for competitions promoting innovative responses to questions such as how to strengthen communities and encourage sustainable energy consumption.
One example cited by the report is the Talent Dividend Prize, sponsored by CEOs for Cities and the Kresge Foundation, which awards $1-million to the city that most increases its college graduation rate during a four-year period. A second example is the MIT Clean Energy Prize, co-sponsored by the U.S. Department of Energy, which offered a total of $1 million in prize money. Submissions generated $85 million in capital and research grants, according to the report.
A prize-based project should not be adopted when an established approach to solve a problem already exists or if potential participants don’t have the interest or time to work on solving a problem, the report concludes. Instead, prize designers must gauge the capacity of potential participants before announcing a prize, and make sure that it will spur the discovery of new solutions.”

Transparency, legitimacy and trust

Curated on June 19, 2014August 15, 2018 by Stefaan Verhulst

John Kamensky at Federal Times: “The Open Government movement has captured the imagination of many around the world as a way of increasing transparency, participation, and accountability. In the US, many of the federal, state, and local Open Government initiatives have been demonstrated to achieve positive results for citizens here and abroad. In fact, the White House’s science advisors released a refreshed Open Government plan in early June.
However, a recent study in Sweden says the benefits of transparency may vary, and may have little impact on citizens’ perception of legitimacy and trust in government. This research suggests important lessons on how public managers should approach the design of transparency strategies, and how they work in various conditions.
Jenny de Fine Licht, a scholar at the University of Gothenberg in Sweden, offers a more nuanced view of the influence of transparency in political decision making on public legitimacy and trust, in a paper that appears in the current issue of “Public Administration Review.” Her research challenges the assumption of many in the Open Government movement that greater transparency necessarily leads to greater citizen trust in government.
Her conclusion, based on an experiment involving over 1,000 participants, was that the type and degree of transparency “has different effects in different policy areas.” She found that “transparency is less effective in policy decisions that involve trade-offs related to questions of human life and death or well-being.”

The background

Licht says there are some policy decisions that involve what are called “taboo tradeoffs.” A taboo tradeoff, for example, would be making budget tradeoffs in policy areas such as health care and environmental quality, where human life or well-being is at stake. In cases where more money is an implicit solution, the author notes, “increased transparency in these policy areas might provoke feeling of taboo, and, accordingly, decreased perceived legitimacy.”
Other scholars, such as Harvard’s Jane Mansbridge,contend that “full transparency may not always be the best practice in policy making.” Full transparency in decision-making processes would include, for example, open appropriation committee meetings. Instead, she recommends “transparency in rationale – in procedures, information, reasons, and the facts on which the reasons are based.” That is, provide a full explanation after-the-fact.
Licht tested the hypothesis that full transparency of the decision-making process vs. partial transparency via providing after-the-fact rationales for decisions may create different results, depending on the policy arena involved…
Open Government advocates have generally assumed that full and open transparency is always better. Licht’s conclusion is that “greater transparency” does not necessarily increase citizen legitimacy and trust. Instead, the strategy of encouraging a high degree of transparency requires a more nuanced application in its use. While the she cautions about generalizing from her experiment, the potential implications for government decision-makers could be significant.
To date, many of the various Open Government initiatives across the country have assumed a “one size fits all” approach, across the board. Licht’s conclusions, however, help explain why the results of various initiatives have been divergent in terms of citizen acceptance of open decision processes.
Her experiment seems to suggest that citizen engagement is more likely to create a greater citizen sense of legitimacy and trust in areas involving “routine” decisions, such as parks, recreation, and library services. But that “taboo” decisions in policy areas involving tradeoffs of human life, safety, and well-being may not necessarily result in greater trust as a result of the use of full and open transparency of decision-making processes.
While she says that transparency – whether full or partial – is always better than no transparency, her experiment at least shows that policy makers will, at a minimum, know that the end result may not be greater legitimacy and trust. In any case, her research should engender a more nuanced conversation among Open Government advocates at all levels of government. In order to increase citizens’ perceptions of legitimacy and trust in government, it will take more than just advocating for Open Data!”

App pays commuters to take routes that ease congestion

Curated on June 19, 2014August 15, 2018 by Stefaan Verhulst

Springwise: “Congestion at peak hours is a major problem in the world’s busiest city centres. We’ve recently seen Gothenburg in Sweden offering free bicycles to ease the burden on public transport services, but now a new app is looking to take a different approach to the same problem. Urban Engines uses algorithms to help cities determine key congestion choke points and times, and can then reward commuters for avoiding them.
The Urban Engines system is based on commuters using the smart commuter cards already found in many major cities. The company tracks journeys made with those commuter cards, and uses that data to identify main areas of congestion, and at what times the congestion occurs. The system has already been employed in Washington, D.C, and Sao Paulo, Brazil, helping provide valuable data for work with city planners.
It’s in Singapore, however, where the most interesting work has been achieved so far. There, commuters who have signed up and registered their commuter cards can earn rewards when they travel. They will earn one point for every kilometre travelled during peak hours, or triple that when travelling off-peak. The points earned can then be converted into discounts on future journeys, or put towards an in-app raffle game, where they have the opportunity to win sums of money. Urban Engines claim there’s been a 7 to 13 percent reduction in journeys made during peak hours, with 200,000 commuters taking part.
The company is based on an original experiment carried out in Bangalore. The rewards program there, carried out among 20,000 employees of the Indian company Infosys, lead to 17 percent of traffic shifting to off-peak travel times in six months. A similarly successful experiment has also been carried out on the Stanford University campus, and the plan is to now expand to other major cities…”

Crowdsourcing moving beyond the fringe

Curated on June 18, 2014August 15, 2018 by Stefaan Verhulst

Bob Brown in Networked World: ” Depending up on how you look at it, crowdsourcing is all the rage these days — think Wikipedia, X Prize and Kickstarter — or at the other extreme, greatly underused.
To the team behind the new “insight network” Yegii, crowdsourcing has not nearly reached its potential despite having its roots as far back as the early 1700s and a famous case of the British Government seeking a solution to “The Longitude Problem” in order to make sailing less life threatening. (I get the impression that mention of this example is obligatory at any crowdsourcing event.)
This angel-funded startup, headed by an MIT Sloan School of Management senior lecturer and operating from a Boston suburb, is looking to exploit crowdsourcing’s potential through a service that connects financial, healthcare, technology and other organizations seeking knowledge with experts who can provide it – and fairly fast. To CEO Trond Undheim, crowdsourcing is “no longer for fringe freelance work,” and the goal is to get more organizations and smart individuals involved.
“Yegii is essentially a network of networks, connecting people, organizations, and knowledge in new ways,” says Undheim, who explains that the name Yegii is Korean for “talk” or “discussion”. “Our focus is laser sharp: we only rank and rate knowledge that says something essential about what I see as the four forces of industry disruption: technology, policy, user dynamics and business models. We tackle challenging business issues across domains, from life sciences to energy to finance. The point is that today’s industry classification is falling apart. We need more specific insight than in-house strategizing or generalist consulting advice.”
Undheim attempted to drum up interest in the new business last week at an event at Babson College during which a handful of crowdsourcing experts spoke. Harvard Business School adjunct professor Alan MacCormack discussed the X Prize, Netflix Prize and other examples of spurring competition through crowdsourcing. MIT’s Peter Gloor extolled the virtue of collaborative and smart swarms of people vs. stupid crowds (such as football hooligans). A couple of advertising/marketing execs shared stories of how clients and other brands are increasingly tapping into their customer base and the general public for new ideas from slogans to products, figuring that potential new customers are more likely to trust their peers than corporate ads. Another speaker dove into more details about how to run a crowdsourcing challenge, which includes identifying motivation that goes beyond money.
All of this was to frame Yegii’s crowdsourcing plan, which is at the beta stage with about a dozen clients (including Akamai and Santander bank) and is slated for mass production later this year. Yegii’s team consists of five part-timers, plus a few interns, who are building a web-based platform that consists of “knowledge assets,” that is market research, news reports and datasets from free and paid sources. That content – on topics that range from Bitcoin’s impact on banks to telecom bandwidth costs — is reviewed and ranked through a combination of machine learning and human peers. Information seekers would pay Yegii up to hundreds of dollars per month or up to tens of thousands of dollars per project, and then multidisciplinary teams would accept the challenge of answering their questions via customized reports within staged deadlines.
“We are focused on building partnerships with other expert networks and associations that have access to smart people with spare capacity, wherever they are,” Undheim says.
One reason organizations can benefit from crowdsourcing, Undheim says, is because of the “ephemeral nature of expertise in today’s society.” In other words, people within your organization might think of themselves as experts in this or that, but when they really think about it, they might realize their level of expertise has faded. Yegii will strive to narrow down the best sources of information for those looking to come up to speed on a subject over a weekend, whereas hunting for that information across a vast search engine would not be nearly as efficient….”

Putting Open Data to Work for Communities

Curated on June 18, 2014August 3, 2018 by Stefaan Verhulst

Report by Kathryn L.S. Pettit, Leah Hendey, Brianna Losoya, G. Thomas Kingsley at the Urban Institute: “The National Neighborhood Indicators Partnership (NNIP) is a network of local organizations that collect, organize, and use neighborhood data to tackle issues in their communities. As the movement for government transparency has spread at the local level, more NNIP partners are participating in the call for governments to release data and are using open data to provide information for decisionmaking and community engagement. Local NNIP partners and open data advocates have complementary strengths and should work together to more effectively advance open government data that benefits all residents.”

In Defense of Transit Apps

Curated on June 16, 2014August 15, 2018 by Stefaan Verhulst

Mark Headd at Civic Innovations: “The civic technology community has a love-hate relationship with transit apps.
We love to, and often do, use the example of open transit data and the cottage industry of civic app development it has helped spawn as justification for governments releasing open data. Some of the earliest, most enduring and most successful civic applications have been built on transit data and there literally hundreds of different apps available.
The General Transit Feed Specification (GTFS), which has helped to encourage the release of transit data from dozens and dozens of transportation authorities across the country, is used as the model for the development of other open data standards. I once described work being done to develop a data standard for locations dispensing vaccinations as “GTFS for flu shots.”

But some in the civic technology community chafe at the overuse of transit apps as the example cited for the release of open data and engagement with outside civic hackers. Surely there are other examples we can point to that get at deeper, more fundamental problems with civic engagement and the operation of government. Is the best articulation of the benefits of open data and civic hacking a simple bus stop application?
Last week at Transparency Camp in DC, during a session I ran on open data, I was asked what data governments should focus on releasing as open data. I stated my belief that – at a minimum – governments should concentrate on The 3 B’s: Buses (transit data), Bullets (crime data) and Bucks (budget & expenditure data).
To be clear – transit data and the apps it helps generate are critical to the open data and civic technology movements. I think it is vital to exploring the role that transit apps have played in the development of the civic technology ecosystem and their impact on open data.

Story telling with transit data

Transit data supports more than just “next bus” apps. In fact, characterizing all transit apps this way does a disservice to the talented and creative people working to build things with transit data. Transit data supports a wide range of different visualizations that can tell an intimate, granular story about how a transit system works and how it’s operation impacts a city.
One inspiring example of this kind of app was developed recently by Mike Barry and Brian Card, and looked at the operation of MBTA in Boston. Their motive was simple:

We attempt to present this information to help people in Boston better understand the trains, how people use the trains, and how the people and trains interact with each other.

We’re able to tell nuanced stories about transit systems because the quality of data being released continues to expand and improve in quality. This happens because developers building apps in cities across the country have provided feedback to transit officials on what they want to see and the quality of what is provided.
Developers building the powerful visualizations we see today are standing on the shoulders of the people that built the “next bus” apps a few years ago. Without these humble apps, we don’t get to tell these powerful stories today.

Holding government accountable

Transit apps are about more than just getting to the train on time.
Support for transit system operations can run into the billions of dollars and affect the lives of millions of people in an urban area. With this much investment, it’s important that transit riders and taxpayers are able to hold officials accountable for the efficient operation of transit systems. To help us do this, we now have a new generation of transit apps that can examine things like the scheduled arrival and departure times of trains with their actual arrival and departure time.
Not only does this give citizens transparency into how well their transit system is being run, it offers a pathway for engagement – by knowing which routes are not performing close to scheduled times, transit riders and others can offer suggestions for changes and improvements.

A gateway to more open data

One of the most important things that transit apps can do is provide a pathway for more open data.
In Philadelphia, the city’s formal open data policy and the creation of an open data portal all followed after the efforts of a small group of developers working to obtain transit schedule data from the Southeastern Pennsylvania Transportation Authority (SEPTA). This group eventually built the region’s first transit app.
This small group pushed SEPTA to make their data open, and the Authority eventually embraced open data. This, in turn, raised the profile of open data with other city leaders and directly contributed to the adoption of an open data policy by the City of Philadelphia several years later. Without this simple transit app and the push for more open transit data, I don’t think this would have happened. Certainly not as soon as it did.
And it isn’t just big cities like Philadelphia. In Syracuse, NY – a small city with no tradition of civic hacking and no formal open data program – a group at a local hackathon decided that they wanted to build a platform for government open data.
The first data source they selected to focus on? Transit data. The first app they built? A transit app…”

The Art and Science of Data-driven Journalism

Curated on June 16, 2014August 15, 2018 by Stefaan Verhulst

Alex Howard for the Tow Center for digital journalism: “Journalists have been using data in their stories for as long as the profession has existed. A revolution in computing in the 20th century created opportunities for data integration into investigations, as journalists began to bring technology into their work. In the 21st century, a revolution in connectivity is leading the media toward new horizons. The Internet, cloud computing, agile development, mobile devices, and open source software have transformed the practice of journalism, leading to the emergence of a new term: data journalism. Although journalists have been using data in their stories for as long as they have been engaged in reporting, data journalism is more than traditional journalism with more data. Decades after early pioneers successfully applied computer-assisted reporting and social science to investigative journalism, journalists are creating news apps and interactive features that help people understand data, explore it, and act upon the insights derived from it. New business models are emerging in which data is a raw material for profit, impact, and insight, co-created with an audience that was formerly reduced to passive consumption. Journalists around the world are grappling with the excitement and the challenge of telling compelling stories by harnessing the vast quantity of data that our increasingly networked lives, devices, businesses, and governments produce every day. While the potential of data journalism is immense, the pitfalls and challenges to its adoption throughout the media are similarly significant, from digital literacy to competition for scarce resources in newsrooms. Global threats to press freedom, digital security, and limited access to data create difficult working conditions for journalists in many countries. A combination of peer-to-peer learning, mentorship, online training, open data initiatives, and new programs at journalism schools rising to the challenge, however, offer reasons to be optimistic about more journalists learning to treat data as a source. (Download the report)”