Montreal monitoring city traffic via drivers’ Bluetooth

Curated on Posted on by Stefaan Verhulst

Springwise: “Rather than rely on once-yearly spot checks of traffic throughout the city, Montreal, Canada, decided to build a more comprehensive picture of what was working well, and what wasn’t working very well, around the city. Working with traffic management company Orange Traffic, the city installed more than 100 sensors along the busiest vehicular routes. The sensors pick up mobile phone Bluetooth signals, making the system inexpensive to use and install as no additional hardware or devices are needed.

Once the sensors pick up a Bluetooth signal, they track it through several measurement points to get an idea of how fast or slow traffic is moving. The data is sent to the city’s Urban Mobility Management Center. City officials are keen to emphasize that no personal data is recorded as Bluetooth signals cannot be linked to individuals. Traffic management and urban planning teams will be able to use the data to redesign problematic intersections and improve the overall mobility of the city’s streets and transport facilities.

Smart cities are those making safety and efficiency a priority, from providing digital driver licenses in India to crowdsourcing a map of cars in bike lanes in New York City….(More)”

Iran’s Civic Tech Sector

Curated on Posted on by Stefaan Verhulst

Leah Hunter at Forbes: “This is the story of Firuzeh Mahmoudi, founder of United4Iran and Irancubator, the first civic tech-focused startup incubator in Iran. She is also a creator of civil justice apps and a businessperson. Her business? Creating social good in a country she loves.

“Our mission is to improve civil liberties in Iran, and we do that in three ways,” says Mahmoudi, 45, who spent four years working for the United Nations in countries across the world as an international project coordinator before becoming a founder….

Mahmoudi realized that there wasn’t anyone focused on apps made for civic engagement inside Iran, so she built a team to create Irancubator. She works with 30 consultants and partners in the Iranian-American community. She also has a staff of 10 in her San Francisco Bay Area office—most of whom are Iranian, and were still in the country until 2009. “I really worked hard in bringing in resilient people…people who are smart, creative, kind. It’s so important to be kind. How you do the work, and how you show up, is that critical. If you try to make the world a better place, you’d better be nice. If you want to make the government be nicer, you’d better be nice, too.”

She and her team, based in the San Francisco Bay Area are creating apps like the Iran Prison Atlas – a database of all the country’s political prisoners, the judges who sentenced them and the prisons where they’re held. “We believe how these people are treated is a litmus test for our country,” Mahmoudi explains.

They are building an app women can use to track their ovulation cycles and periods. It also acts as a Trojan horse; as you dig deeper, it includes all sorts of information on women’s rights, including how to have equal rights in a marriage. (In Iran, divorce rights for women—as well as the right to equal custody of their children afterward—require a document signed before the wedding ceremony.) “This one’s not specifically targeting the richer women who are living in Northern Tehran. It’s an app that aims to engage people who live in rural areas, or not be as well-off or educated or perhaps more conservative or religious,” Mahmoudi explains. “Once you get in the app, you realize there are other parts. They include information on one’s rights as a woman in a marriage. Or basic concepts that may be completely foreign to them. Like maybe say, “Hey, do you know there’s a concept called ‘marital rape’? Even if someone’s your husband, they can’t treat you this way.”…

Right now, Irancubator is building a dozen apps. The first is launching in late January. Named RadiTo, this app works similarly to YouTube, but for radio instead of TV, allowing people in Iran to broadcast channels about the topics they care about. Someone can create a channel about LGBT rights or about children and education in their language. “Whatever they want—they can have a secure, safe platform to broadcast their message,” Mahmoudi explains.

From an operational perspective, this isn’t easy. Mahmoudi and her staff aren’t just building a startup. They’re operating from the other side of the world, working for users with whom they cannot directly communicate.  “Any startup is challenging and has so many hurdles. For us, it’s another level, working with so many security challenges,” says Mahmoudi….

The biggest challenge of all: they cannot go back to Iran. “The Islamic Republic coined me as an anti-revolutionary fugitive in one of their articles,” Mahmoudi says. “Half of my staff are refugees who got out.”…(More).

Could Technology Remove the Politicians From Politics?

Curated on Posted on by Stefaan Verhulst

Sue Brideshead at Motherboard: “The tech industry has talked long and hard about democratizing industries. Democratizing content, democratizing taxi-cabs, and democratizing bed and breakfasts. But what about democratizing democracy?

Disruption is the word of the moment in Washington, thanks to an incoming president who counts his inexperience in government as an asset. It remains to be seen what kind of disruption Trump will bestow upon the White House, but efforts at disruption from the technology world have refined and chipped at only the topmost layer of inefficiencies. Mark Zuckerberg has poured cash into a broken school district; programmers have toyed with ways to secure digital ballots; and analysts have sought (and failed) to hone the political poll. The team of engineers Barack Obama lured to Washington has been tasked with fixing podunk websites and backend systems. But what they have failed to identify as a problem is the very system that elected their boss. Because beyond the topmost layer of government gunk lies a broad and broken structure: the idea of representation itself. In the era of the internet, the very premise of sending a man to Washington or a woman to city council is badly in need of an upgrade.

The idea of a political representative evolved out of necessity. Townspeople couldn’t afford to take a day off and ride a horse to the capital. They needed to agree upon one guy who would more or less say what they were thinking, and they voted to pick the right guy for the job.

Horses became model T’s became jets flying politicians from their constituencies to the District of Columbia, ostensibly to have an ear to the ground in their home state and a hand to the buzzers on the Senate floor. But travel—and voter awareness—requires cash that drives up the price of running for office.

The Republican President-elect scored votes by calling Washington “corrupt” and “criminal,” “rigged” and “stagnant,” but “quaint” is the first adjective I think of. In the era of the iPhone, sending a man or woman to Washington to “represent” a district back home can feel about as forward-thinking as sending an intern to Amazon headquarters to pick up the new DeLillo. Why do congressional offices read bills in hard-copy, in private, while their constituents draft their work in Google Docs? Why does a senator have to stand on the Senate floor to hear arguments or to vote, when her constituents watch proceedings on C-Span and vote for which Game of Thrones heroine her hair most resembles on BuzzFeed?..

….The price of running for office is now astronomical, literally; a New Hampshire senate race tops the cost of sending your satellite to low earth orbit with SpaceX’s rocket…But the most disturbing fact of our Republic is an upsurge of anti-intellectual rhetoric. An ongoing protest of California’s default direct democracy—its barrage of referendums—is fueled by the disturbing fact that voters are likely to base their decision on a television advertisement. Referendum protesters rightly note that a system reliant on advertising hardly cuts money out of politics or ensures an informed electorate. But the premise of this protest rests on the assumption that a Representative is more informed than a television advertisement; that a Representative makes decisions by speaking with experts, using paid time and expertise…

…Fixing an existing problem with new technology often fuels new and terrifying questions. Displacing power simply raises the same questions of control and ownership in new places. For example, even without the risk of politicians becoming susceptible to lobbyists, voters could still be influenced by special interest groups that can afford to bombard voters with their message. But by distributing the power for change among the electorate, a direct democracy model would effectively make lobbying efforts much more expensive and inefficient….

…What I do know: our system is broken. Voters crave transparency, an end to political photo-ops, an end to the influence of television, of Facebook, a way to flush the lobbyists out of Washington and drag the cash out of politicians’ pockets. As a citizenry, we hold relatively little power to destroy lobbying; to reform pay-to-play; to transform the media industries; re-engineer Facebook, or temper the bad behavior of the wealthy and powerful. But our new technologies also mean that there’s one central component we might have the power to remove from government completely: the politicians. (More)”

Open or Closed? Open Licensing of Real-Time Public Sector Transit Data

Curated on Posted on by Stefaan Verhulst

Teresa Scassa and Alexandra Diebel in Journal of e-Democracy: “This paper explores how real-time data are made available as “open data” using municipal transit data as a case study. Many transit authorities in North America and elsewhere have installed technology to gather GPS data in real-time from transit vehicles. These data are in high demand in app developer communities because of their use in communicating predicted, rather than scheduled, transit vehicle arrival times. While many municipalities have chosen to treat real-time GPS data as “open data,” the particular nature of real-time GPS data requires a different mode of access for developers than what is needed for static data files. This, in turn, has created a conflict between the “openness” of the underlying data and the sometimes restrictive terms of use which govern access to the real-time data through transit authority Application Program Interfaces (APIs). This paper explores the implications of these terms of use and considers whether real-time data require a separate standard for openness. While the focus is on the transit data context, the lessons from this area will have broader implications, particularly for open real-time data in the emerging smart cities environment….(More)”

The melting down of government: A multidecade perspective

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Bert A. Rockman in the Special 30th Anniversary Issue of Governance: “The editors of Governance have asked me to assess the extent and nature of change in the governing process since the origins of the journal 30 years ago. This is an engaging task but a difficult one. It is difficult because trend lines rarely have a definitive beginning point—or at least if similar tendencies are seen across national boundaries, they rarely begin at the same time. It is also difficult because states and nations have different traditions and may be more or less willing to accept lessons from elsewhere. As well, national entities and even regional ones may react differently to similar problems. Old Europe, as Donald Rumsfeld the former U.S. Defense Secretary once disparagingly referred to the more democratically stable and prosperous countries of Western Europe, still seems more likely to adhere to globalization, freedom of movement across national borders, and at least some tolerance of immigration than has been the case in the Eastern and Central parts of the continent or, for that matter, in the United States.

Because it is so difficult to see uniformities across all states, I shall concentrate my attention on the case of the United States with which I am most familiar while recognizing that all developed states have been facing challenges to their industrial base and all have been facing complicated problems of labor displacement through technology and absorption of immigrant populations in the midst of diminished economic growth and modest recovery from the financial crisis of 2008. To put it simply, there have been greater challenges and fewer financial and political resources.

I see four very different tendencies at work in the process of governing and the limitations that they may impose on government. Thinking of these in terms of a series of concentric circles and moving in succession from those with the broadest radius (sociopolitical) to those with the narrowest (machinery and fiscal capabilities of government), I will characterize them accordingly as (a) the confidence in government problem; (b) the frozen political alignment problem—or as it is known in the United States, political polarization; (c) the cult of efficiency in government and also private enterprise, which has resulted in substantial outsourcing and privatization; and (d) public austerity that, among other things, has altered the balance of power between governmental authority and powerful business and nonprofit organizations. I cannot be certain that these elements interact with one another. How they do and if they do is a matter for some further endeavor….(More)”

Discrimination by algorithm: scientists devise test to detect AI bias

Curated on Posted on by Stefaan Verhulst

 at the Guardian: “There was the voice recognition software that struggled to understand women, the crime prediction algorithm that targeted black neighbourhoods and the online ad platform which was more likely to show men highly paid executive jobs.

Concerns have been growing about AI’s so-called “white guy problem” and now scientists have devised a way to test whether an algorithm is introducing gender or racial biases into decision-making.

Mortiz Hardt, a senior research scientist at Google and a co-author of the paper, said: “Decisions based on machine learning can be both incredibly useful and have a profound impact on our lives … Despite the need, a vetted methodology in machine learning for preventing this kind of discrimination based on sensitive attributes has been lacking.”

The paper was one of several on detecting discrimination by algorithms to be presented at the Neural Information Processing Systems (NIPS) conference in Barcelona this month, indicating a growing recognition of the problem.

Nathan Srebro, a computer scientist at the Toyota Technological Institute at Chicago and co-author, said: “We are trying to enforce that you will not have inappropriate bias in the statistical prediction.”

The test is aimed at machine learning programs, which learn to make predictions about the future by crunching through vast quantities of existing data. Since the decision-making criteria are essentially learnt by the computer, rather than being pre-programmed by humans, the exact logic behind decisions is often opaque, even to the scientists who wrote the software….“Our criteria does not look at the innards of the learning algorithm,” said Srebro. “It just looks at the predictions it makes.”

Their approach, called Equality of Opportunity in Supervised Learning, works on the basic principle that when an algorithm makes a decision about an individual – be it to show them an online ad or award them parole – the decision should not reveal anything about the individual’s race or gender beyond what might be gleaned from the data itself.

For instance, if men were on average twice as likely to default on bank loans than women, and if you knew that a particular individual in a dataset had defaulted on a loan, you could reasonably conclude they were more likely (but not certain) to be male.

However, if an algorithm calculated that the most profitable strategy for a lender was to reject all loan applications from men and accept all female applications, the decision would precisely confirm a person’s gender.

“This can be interpreted as inappropriate discrimination,” said Srebro….(More)”.

Science Can Restore America’s Faith in Democracy

Curated on Posted on by Stefaan Verhulst

Ariel Procaccia in Wired: “…Like most other countries, individual states in the US employ the antiquated plurality voting system, in which each voter casts a vote for a single candidate, and the person who amasses the largest number of votes is declared the winner. If there is one thing that voting experts unanimously agree on, it is that plurality voting is a bad idea, or at least a badly outdated one….. Maine recently became the first US state to adopt instant-runoff voting; the approach will be used for choosing the governor and members of Congress and the state legislature….

So why aren’t we already using cutting-edge voting systems in national elections? Perhaps because changing election systems usually itself requires an election, where short-term political considerations may trump long-term, scientifically grounded reasoning….Despite these difficulties, in the last few years state-of-the-art voting systems have made the transition from theory to practice, through not-for-profit online platforms that focus on facilitating elections in cities and organizations, or even just on helping a group of friends decide where to go to dinner. For example, the Stanford Crowdsourced Democracy Team has created an online tool whereby residents of a city can vote on how to allocate the city’s budget for public projects such as parks and roads. This tool has been used by New York City, Boston, Chicago, and Seattle to allocate millions of dollars. Building on this success, the Stanford team is experimenting with groundbreaking methods, inspired by computational thinking, to elicit and aggregate the preferences of residents.

The Princeton-based project All Our Ideas asks voters to compare pairs of ideas, and then aggregates these comparisons via statistical methods, ultimately providing a ranking of all the ideas. To date, roughly 14 million votes have been cast using this system, and it has been employed by major cities and organizations. Among its more whimsical use cases is the Washington Post’s 2010 holiday gift guide, where the question was “what gift would you like to receive this holiday season”; the disappointingly uncreative top idea, based on tens of thousands of votes, was “money”.

Finally, the recently launched website RoboVote (which I created with collaborators at Carnegie Mellon and Harvard) offers AI-driven voting methods to help groups of people make smart collective decisions. Applications range from selecting a spot for a family vacation or a class president, to potentially high-stakes choices such as which product prototype to develop or which movie script to produce.

These examples show that centuries of research on voting can, at long last, make a societal impact in the internet age. They demonstrate what science can do for democracy, albeit on a relatively small scale, for now….(More)’

New Tech Helps Tenants Make Their Case in Court

Curated on Posted on by Stefaan Verhulst

Corinne Ramey at the Wall Street Journal: “Tenants and their advocates are using new technology to document a lack of heat in apartment buildings, a condition they say has been difficult to prove in housing-court cases.

Small sensors provided by the New York City-based nonprofit Heat Seek, now installed in some city apartments, measure temperatures and transmit the data to a server. Tenant advocates say the data buttress their contention that some landlords withhold heat as a way to oust rent-regulated tenants.

“It’s really exciting to be able to track this information and hopefully get the courts to accept it, so we can show what everybody knows to be true,” said Sunny Noh, a supervising attorney at the Legal Aid Society’s Tenant Rights Coalition, which filed a civil suit using Heat Seek’s data.

…The smaller device, called a cell, transmits hourly temperature readings to the larger device, called a hub, through a radio signal. The hub is equipped with a small modem, which it uses to send data to a web server. The nonprofit typically places a hub in each building and the cells inside individual apartments.

Last winter, Heat Seek’s data were used in eight court cases representing a total of about 20 buildings, all of which were settled, Ms. Francois said. Currently, the sensors are in about six buildings and she anticipates about 50 buildings will have them by the end of the winter.

Data from Heat Seek haven’t been admitted at a trial yet, said Ms. Noh, the Legal Aid lawyer.

The nonprofit, with help from housing lawyers, has chosen to focus on gentrifying neighborhoods because they expect landlords there have more incentives to force out rent-regulated tenants….(More)

Artificial Intelligence Could Help Colleges Better Plan What Courses They Should Offer

Curated on Posted on by Stefaan Verhulst

Jeffrey R. Young at EdSsurge: Big data could help community colleges better predict how industries are changing so they can tailor their IT courses and other programs. After all, if Amazon can forecast what consumers will buy and prestock items in their warehouses to meet the expected demand, why can’t colleges do the same thing when planning their curricula, using predictive analytics to make sure new degree or certificates programs are started just in time for expanding job opportunities?

That’s the argument made by Gordon Freedman, president of the nonprofit National Laboratory for Education Transformation. He’s part of a new center that will do just that, by building a data warehouse that brings together up-to-date information on what skills employers need and what colleges currently offer—and then applying artificial intelligence to attempt to predict when sectors or certain employment needs might be expanding.

He calls the approach “opportunity engineering,” and the center boasts some heavy-hitting players to assist in the efforts, including the University of Chicago, the San Diego Supercomputing Center and Argonne National Laboratory. It’s called the National Center for Opportunity Engineering & Analysis.

Ian Roark, vice president of workforce development at Pima Community College in Arizona, is among those eager for this kind of “opportunity engineering” to emerge.

He explains when colleges want to start new programs, they face a long haul—it takes time to develop a new curriculum, put it through an internal review, and then send it through an accreditor….

Other players are already trying to translate the job market into a giant data set to spot trends. LinkedIn sits on one of the biggest troves of data, with hundreds of millions of job profiles, and ambitions to create what it calls the “economic graph” of the economy. But not everyone is on LinkedIn, which attracts mainly those in white-collar jobs. And companies such as Burning Glass Technologies have scanned hundreds of thousands of job listings and attempt to provide real-time intelligence on what employers say they’re looking for. Those still don’t paint the full picture, Freedman argues, such as what jobs are forming at companies.

“We need better information from the employer, better information from the job seeker and better information from the college, and that’s what we’re going after,” Freedman says…(More)”.

Can you crowdsource water quality data?

Curated on Posted on by Stefaan Verhulst

Pratibha Mistry at The Water Blog (Worldbank): “The recently released Contextual Framework for Crowdsourcing Water Quality Data lays out a strategy for citizen engagement in decentralized water quality monitoring, enabled by the “mobile revolution.”

According to the WHO, 1.8 billion people lack access to safe drinking water worldwide. Poor source water quality, non-existent or insufficient treatment, and defects in water distribution systems and storage mean these consumers use water that often doesn’t meet the WHO’s Guidelines for Drinking Water Quality.

The crowdsourcing framework develops a strategy to engage citizens in measuring and learning about the quality of their own drinking water. Through their participation, citizens provide utilities and water supply agencies with cost-effective water quality data in near-real time. Following a typical crowdsourcing model: consumers use their mobile phones to report water quality information to a central service. That service receives the information, then repackages and shares it via mobile phone messages, websites, dashboards, and social media. Individual citizens can thus be educated about their water quality, and water management agencies and other stakeholders can use the data to improve water management; it’s a win-win.

A well-implemented crowdsourcing project both depends on and benefits end users.Source: Figure modified from Hutchings, M., Dev, A., Palaniappan, M., Srinivasan, V., Ramanathan, N., Taylor, J.  2012. “mWASH: Mobile Phone Applications for the Water, Sanitation, and Hygiene Sector.” Pacific Institute, Oakland, California.  114 p.  (Link to full text)

Several groups, from the private sector to academia to non-profits, have taken a recent interest in developing a variety of so-called mWASH apps (mobile phone applications for the water, sanitation, and hygiene WASH sector).  A recent academic study analyzed how mobile phones might facilitate the flow of water quality data between water suppliers and public health agencies in Africa. USAID has invested in piloting a mobile application in Tanzania to help consumers test their water for E. coli….(More)”