Can We Build a Safer Internet?


in the New York Times: “We often take it as a given that the Internet is a cruel place, a natural haven for those who seek to harass and threaten others. But to some people, social networks are not mere conduits for our worst impulses. They’re structures whose design can influence how we behave, for good as well as for ill.

Right now, having a social media account can mean facing down a torrent of harassment — including, for some, attacks that are misogynist, racist or both. “Just as you create a space for people to use something in innovative, creative ways, there are also people who will use it for other means,” Moya Bailey, a postdoctoral fellow at Northeastern University who writes about race, gender and media, told Op-Talk. She mentioned Anita Sarkeesian, the video game critic who has faced harassment for critiquing the portrayal of women in games.

“Because she is doing that work, she becomes a target of a lot of violence and hate,” said Ms. Bailey. The rise of online communication is “a gift and a curse always. It’s always both/and.”

And the way we behave online may depend on which site we’re using. Ms. Bailey cites Tumblr as an example. “I think there’s something about Tumblr that is really attractive to social-justice folks, and the kinds of conversations that people have on Tumblr are very different from what’s possible on Facebook,” she explained. “The platforms themselves help shape the kind of content that people post to those different sites.”

The design of those platforms can also determine who sees what we post. Kate Losse, a writer on technology and culture and a former product manager at Facebook, told Op-Talk that Facebook has widened the scope of some of our conversations.

“Pre-Facebook there would be all these different kinds of interactions you might have socially,” she said. “You might talk to one person, you might talk to three people, you might talk to a hundred people. But Facebook’s interesting because you’re always talking to a hundred people when you post, or more.”

“You have to look at something like Facebook as structuring social interactions,” she added. And interacting via what Ms. Losse called “large-scale announcements” can introduce problems. “The Internet is the classic case of tragedy of the commons,” she said. “If something that’s important to me gets viewed by someone across the world, who has no attachment to me, doesn’t care about me at all, doesn’t have any reason to know me or have empathy for me, it’s much easier for that person to do something hateful with the content than to be respectful of it.”

But if platforms can structure our interactions, can they steer us toward kindness rather than toward bile? Batya Friedman, a professor at the University of Washington’s Information School who studies the relationship between technology and human priorities, thinks it’s possible. “Any time people talk to each other,” she told Op-Talk, “we have all kinds of social norms that check how we say things to each other. We give each other social cues, we tell each other when somebody’s starting to go too far.”

The question for designers of online communities, she said, is “how do we either create virtual norms that are comparable, or how do we represent those things so that people are getting those cues, so they modulate their behavior?”…”

France Announces An Ambitious New Data Strategy


at TechCrunch: “After four long months of speculations and political maneuvering, the French Government finally announced that France is getting its first Chief Data Officer….
First, it’s all about pursuing Etalab’s work when it comes to open data. The small team acted as a startup and quickly iterated on its central platform and multiple side projects. It came up with pragmatic solutions to complicated public issues, such as public health data or fiscal policy simulation. France is now the fourth country in the United Nations e-government survey.
Now, the CDO will have even more official and informal legitimacy to ask other ministries to release data sets. It’s not just about following open government theories — it’s not just about releasing public data to serve the public interest. The team can also simulate new policies before they are implemented, and share recommendations with the ministries working on these new policies.
When a new policy is written, the Government should evaluate all the ins and outs of it before implementation. Citizens should expect no less from their government.
At a larger scale, this nomination is very significant for the French Government. For years, its digital strategy was mostly about finding the best way to communicate through the Internet. But when it came to creating new policies, computers couldn’t help them.
Also announced today, the Government is modernizing and unifying its digital platform between all its ministries and services — it’s never too late. The CDO team will work closely with the DISIC to design this platform — it should be a multi-year project.
Finally, the Government will invest $160 million (€125 million) to innovate in the public sector when it makes sense. In other words, the government will work with private companies (and preferably young innovative companies) to improve the infrastructure that powers the public sector.
France is the first European country to get a Chief Data Officer…”

Smart Inclusive Cities: How New Apps, Big Data, and Collaborative Technologies Are Transforming Immigrant Integration


New report by Meghan Benton for the Migration Policy Institute: “The spread of smartphones—cellphones with high-speed Internet access and geolocation technology—is transforming urban life. While many smartphone apps are largely about convenience, policymakers are beginning to explore their potential to address social challenges from disaster response to public health. And cities, in North America and Europe alike, are in the vanguard in exploring creative uses for these apps, including how to improve engagement.
For disadvantaged and diverse populations, accessing city services through a smartphone can help overcome language or literacy barriers and thus increase interactions with city officials. For those with language needs, smartphones allow language training to be accessed anywhere and at any time. More broadly, cities have begun mining the rich datasets that smartphones collect, to help attune services to the needs of their whole population. A new crop of social and civic apps offer new tools to penetrate hard-to-reach populations, including newly arrived and transient groups.
While these digital developments offer promising opportunities for immigrant integration efforts, smartphone apps’ potential to address social problems should not be overstated. In spite of potential shortcomings, since immigrant integration requires a multipronged policy response, any additional tools—especially inexpensive ones—should be examined.
This report explores the kinds of opportunities smartphones and apps are creating for the immigrant integration field. It provides a first look at the opportunities and tradeoffs that smartphones and emerging technologies offer for immigrant integration, and how they might deepen—or weaken—city residents’ sense of belonging…” (Download Report)

Mapping the Next Frontier of Open Data: Corporate Data Sharing


Stefaan Verhulst at the GovLab (cross-posted at the UN Global Pulse Blog): “When it comes to data, we are living in the Cambrian Age. About ninety percent of the data that exists today has been generated within the last two years. We create 2.5 quintillion bytes of data on a daily basis—equivalent to a “new Google every four days.”
All of this means that we are certain to witness a rapid intensification in the process of “datafication”– already well underway. Use of data will grow increasingly critical. Data will confer strategic advantages; it will become essential to addressing many of our most important social, economic and political challenges.
This explains–at least in large part–why the Open Data movement has grown so rapidly in recent years. More and more, it has become evident that questions surrounding data access and use are emerging as one of the transformational opportunities of our time.
Today, it is estimated that over one million datasets have been made open or public. The vast majority of this open data is government data—information collected by agencies and departments in countries as varied as India, Uganda and the United States. But what of the terabyte after terabyte of data that is collected and stored by corporations? This data is also quite valuable, but it has been harder to access.
The topic of private sector data sharing was the focus of a recent conference organized by the Responsible Data Forum, Data and Society Research Institute and Global Pulse (see event summary). Participants at the conference, which was hosted by The Rockefeller Foundation in New York City, included representatives from a variety of sectors who converged to discuss ways to improve access to private data; the data held by private entities and corporations. The purpose for that access was rooted in a broad recognition that private data has the potential to foster much public good. At the same time, a variety of constraints—notably privacy and security, but also proprietary interests and data protectionism on the part of some companies—hold back this potential.
The framing for issues surrounding sharing private data has been broadly referred to under the rubric of “corporate data philanthropy.” The term refers to an emerging trend whereby companies have started sharing anonymized and aggregated data with third-party users who can then look for patterns or otherwise analyze the data in ways that lead to policy insights and other public good. The term was coined at the World Economic Forum meeting in Davos, in 2011, and has gained wider currency through Global Pulse, a United Nations data project that has popularized the notion of a global “data commons.”
Although still far from prevalent, some examples of corporate data sharing exist….

Help us map the field

A more comprehensive mapping of the field of corporate data sharing would draw on a wide range of case studies and examples to identify opportunities and gaps, and to inspire more corporations to allow access to their data (consider, for instance, the GovLab Open Data 500 mapping for open government data) . From a research point of view, the following questions would be important to ask:

  • What types of data sharing have proven most successful, and which ones least?
  • Who are the users of corporate shared data, and for what purposes?
  • What conditions encourage companies to share, and what are the concerns that prevent sharing?
  • What incentives can be created (economic, regulatory, etc.) to encourage corporate data philanthropy?
  • What differences (if any) exist between shared government data and shared private sector data?
  • What steps need to be taken to minimize potential harms (e.g., to privacy and security) when sharing data?
  • What’s the value created from using shared private data?

We (the GovLab; Global Pulse; and Data & Society) welcome your input to add to this list of questions, or to help us answer them by providing case studies and examples of corporate data philanthropy. Please add your examples below, use our Google Form or email them to us at corporatedata@thegovlab.org”

The measurable me: the influence of self-quantification on the online user's decision-making process


Paper by Mimmi Sjöklint for the 2014 ACM International Symposium on Wearable Computers: “The advancement of information technology, online accessibility and wearable computing is fostering a new playground for users to engage with quantified data sets. On one hand, the online user is continuously yet passively exposed to different types of quantified data in online interfaces and mobile apps. On the other hand, the user may actively and knowingly be gathering quantified data through ubiquitous sensory devices, such as wearable technology, e.g. the Jawbone UP and Fitbit. In both instances, the user is exposed to versions of self-quantified measures, namely the aggregation and transformation of personally attributed activity into quantified data. This study approaches the adoption of wearables by looking at active and passive self-quantification online and explores how it may influence and support the user’s cognitive processes and subsequent decision-making process.”

Journey tracking app will use cyclist data to make cities safer for bikes


Springwise: “Most cities were never designed to cater for the huge numbers of bikes seen on their roads every day, and as the number of cyclists grows, so do the fatality statistics thanks to limited investment in safe cycle paths. While Berlin already crowdsources bikers’ favorite cycle routes and maps them through the Dynamic Connections platform, a new app called WeCycle lets cyclists track their journeys, pooling their data to create heat maps for city planners.
Created by the UK’s TravelAI transport startup, WeCycle taps into the current consumer trend for quantifying every aspect of life, including journey times. By downloading the free iOS app, London cyclists can seamlessly create stats each time they get on their bike. They app runs in the background and uses the device’s accelerometer to smartly distinguish walking or running from cycling. They can then see how far they’ve traveled, how fast they cycle and every route they’ve taken. Additionally, the app also tracks bus and car travel.
Anyone that downloads the app agrees that their data can be anonymously sent to TravelAI, creating an accurate and real-time information resource. It aims to create tools such as heat maps and behavior monitoring for cities and local authorities to learn more about how citizens are using roads to better inform their transport policies.
WeCycle follows in the footsteps of similar apps such as Germany’s Radwende and the Toronto Cycling App — both released this year — in taking a popular trend and turning into data that could help make cities a safer place to cycle….Website: www.travelai.info

DrivenData


DrivenData Blog: “As we begin launching our first competitions, we thought it would be a good idea to lay out what exactly we’re trying to do and why….
At DrivenData, we want to bring cutting-edge practices in data science and crowdsourcing to some of the world’s biggest social challenges and the organizations taking them on. We host online challenges, usually lasting 2-3 months, where a global community of data scientists competes to come up with the best statistical model for difficult predictive problems that make a difference.
Just like every major corporation today, nonprofits and NGOs have more data than ever before. And just like those corporations, they are trying to figure out how to make the best use of their data. We work with mission-driven organizations to identify specific predictive questions that they care about answering and can use their data to tackle.
Then we host the online competitions, where experts from around the world vie to come up with the best solution. Some competitors are experienced data scientists in the private sector, analyzing corporate data by day, saving the world by night, and testing their mettle on complex questions of impact. Others are smart, sophisticated students and researchers looking to hone their skills on real-world datasets and real-world problems. Still more have extensive experience with social sector data and want to bring their expertise to bear on new, meaningful challenges – with immediate feedback on how well their solution performs.
Like any data competition platform, we want to harness the power of crowds combined with the increasing prevalence of large, relevant datasets. Unlike other data competition platforms, our primary goal is to create actual, measurable, lasting positive change in the world with our competitions. At the end of each challenge, we work with the sponsoring organization to integrate the winning solutions, giving them the tools to drive real improvements in their impact….
We are launching soon and we want you to join us!
If you want to get updates about our launch this fall with exciting, real competitions, please sign up for our mailing list here and follow us on Twitter: @drivendataorg.
If you are a data scientist, feel free to create an account and start playing with our first sandbox competitions.
If you are a nonprofit or public sector organization, and want to squeeze every drop of mission effectiveness out of your data, check out the info on our site and let us know! “

From #Ferguson to #OfficerFriendly


at Bloomberg View: “In the tiny town of Jun, Spain, (population: 3,000) meeting rooms in city hall have their own Twitter accounts. When residents want to reserve them, they send a direct message via Twitter; when it’s time, the door to the room unlocks automatically in response to a tweet. Jun’s mayor, Jose Antonio Rodriguez, says he coordinates with other public servants via Twitter. Residents routinely tweet about public services, and city hall answers. Every police officer in Jun has a Twitter handle displayed on his uniform.
Now the New York Police Department, the largest in the U.S., is starting a broad social media initiative to get every precinct talking and listening online via Twitter, to both serve citizens and manage police personnel. The question is whether the kind of positive, highly local responsiveness the residents of Jun expect is possible across all parts of local government — not just from the police — in a big city. If it works, the benefits to the public from this kind of engagement could be enormous.
In the age of Michael Brown’s death in Ferguson, Missouri, and Eric Garner‘s in New York, when police abuses can be easily documented by citizens wielding smartphones, relationships between police departments and the communities they serve can quickly become strained. And social media use by the police runs the risk of being initially dismissed as a publicity stunt. But after decades of losing the trust of important New York City communities, this step may help the department gain civic support.
There will be bumps along the way. Last spring, the NYPD kicked off a social media campaign, asking people to share photos accompanied by the Twitter hashtag #myNYPD. Within 24 hours the hashtag was famous worldwide, as activists posted pictures of clashes between residents and the police. But Commissioner Bill Bratton brushed off the criticism, calling the pictures old news and saying the media event was not going to cause the NYPD to change its plans to be active on social media. “I welcome the attention,” he said.
Bratton will roll out a long list of social media efforts this week. The NYPD is training its dozens of commanding officers to understand and use Twitter on their own, both to ask questions and to respond timely to comments and concerns. For example, police in New York City spend a lot of time looking for missing people; now they will be able to get assistance from eyes on the street…”

The Stasi, casinos and the Big Data rush


Book Review by Hannah Kuchler of “What Stays in Vegas” (by Adam Tanner) in the Financial Times: “Books with sexy titles and decidedly unsexy topics – like, say, data – have a tendency to disappoint. But What Stays in Vegas is an engrossing, story-packed takedown of the data industry.

It begins, far from America’s gambling capital, in communist East Germany. The author, Adam Tanner, now a fellow at Harvard’s Institute for Quantitative Social Science, was in the late 1980s a travel writer taking notes on Dresden. What he did not realise was that the Stasi was busy taking notes on him – 50 pages in all – which he found when the files were opened after reunification. The secret police knew where he had stopped to consult a map, to whom he asked questions and when he looked in on a hotel.
Today, Tanner explains: “Thanks to meticulous data gathering from both public documents and commercial records, companies . . . know far more about typical consumers than the feared East German secret police recorded about me.”
Shining a light on how businesses outside the tech sector have become data addicts, Tanner focuses on Las Vegas casinos, which spotted the value in data decades ago. He was given access to Caesar’s Entertainment, one of the world’s largest casino operators. When chief executive Gary Loveman joined in the late 1990s, the former Harvard Business School professor bet the company’s future on harvesting personal data from its loyalty scheme. Rather than wooing the “whales” who spent the most, the company would use the data to decide which freebies were worth giving away to lure in mid-spenders who came back often – a strategy credited with helping the business grow.
The real revelations come when Tanner examines the data brokers’ “Cheez Whiz”. Like the maker of a popular processed dairy spread, he argues, data brokers blend ingredients from a range of sources, such as public records, marketing lists and commercial records, to create a detailed picture of your identity – and you will never quite be able to pin down the origin of any component…
The Big Data rush has gone into overdrive since the global economic crisis as marketers from different industries have sought new methods to grab the limited consumer spending available. Tanner argues that while users have in theory given permission for much of this information to be made public in bits and pieces, increasingly industrial-scale aggregation often feels like an invasion of privacy.
Privacy policies are so long and obtuse (one study Tanner quotes found that it would take a person more than a month, working full-time, to read all the privacy statements they come across in a year), people are unwittingly littering their data all over the internet. Anyway, marketers can intuit what we are like from the people we are connected to online. And as the data brokers’ lists are usually private, there is no way to check the compilers have got their facts right…”

Citizen Science: The Law and Ethics of Public Access to Medical Big Data


New Paper by Sharona Hoffman: Patient-related medical information is becoming increasingly available on the Internet, spurred by government open data policies and private sector data sharing initiatives. Websites such as HealthData.gov, GenBank, and PatientsLikeMe allow members of the public to access a wealth of health information. As the medical information terrain quickly changes, the legal system must not lag behind. This Article provides a base on which to build a coherent data policy. It canvasses emergent data troves and wrestles with their legal and ethical ramifications.
Publicly accessible medical data have the potential to yield numerous benefits, including scientific discoveries, cost savings, the development of patient support tools, healthcare quality improvement, greater government transparency, public education, and positive changes in healthcare policy. At the same time, the availability of electronic personal health information that can be mined by any Internet user raises concerns related to privacy, discrimination, erroneous research findings, and litigation. This Article analyzes the benefits and risks of health data sharing and proposes balanced legislative, regulatory, and policy modifications to guide data disclosure and use.”