Stefaan Verhulst

Olivia Solon at The Guardian: “In August 2016, the Australian government released an “anonymised” data set comprising the medical billing records, including every prescription and surgery, of 2.9 million people.

Names and other identifying features were removed from the records in an effort to protect individuals’ privacy, but a research team from the University of Melbourne soon discovered that it was simple to re-identify people, and learn about their entire medical history without their consent, by comparing the dataset to other publicly available information, such as reports of celebrities having babies or athletes having surgeries.

The government pulled the data from its website, but not before it had been downloaded 1,500 times.

This privacy nightmare is one of many examples of seemingly innocuous, “de-identified” pieces of information being reverse-engineered to expose people’s identities. And it’s only getting worse as people spend more of their lives online, sprinkling digital breadcrumbs that can be traced back to them to violate their privacy in ways they never expected.

Nameless New York taxi logs were compared with paparazzi shots at locations around the city to reveal that Bradley Cooper and Jessica Alba were bad tippers. In 2017 German researchers were able to identify people based on their “anonymous” web browsing patterns. This week University College London researchers showed how they could identify an individual Twitter user based on the metadata associated with their tweets, while the fitness tracking app Polar revealed the homes and in some cases names of soldiers and spies.

“It’s convenient to pretend it’s hard to re-identify people, but it’s easy. The kinds of things we did are the kinds of things that any first-year data science student could do,” said Vanessa Teague, one of the University of Melbourne researchers to reveal the flaws in the open health data.

One of the earliest examples of this type of privacy violation occurred in 1996 when the Massachusetts Group Insurance Commission released “anonymised” data showing the hospital visits of state employees. As with the Australian data, the state removed obvious identifiers like name, address and social security number. Then the governor, William Weld, assured the public that patients’ privacy was protected….(More)”.

Engaging Local Government Leaders:  “The Diversity Dashboard is a crowd-funded data collection effort managed by ELGL and hosted on the OpenGovplatform. The data collection includes the self reported gender, race, age, and veteran status of Chief Administrative Officers and Assistant Chief Administrative Officers in local governments of all sizes and forms.

This link includes background information about the Diversity Dashboard, and access to the “Stories” module where we highlight some key findings.

From there, you can drill down into the data, looking at pre-formatted reports and creating your own reports using the submitted data.

Book by Frank R. Baumgartner, Derek A. Epp, and Kelsey Shoub: “Suspect Citizens offers the most comprehensive look to date at the most common form of police-citizen interactions, the routine traffic stop. Throughout the war on crime, police agencies have used traffic stops to search drivers suspected of carrying contraband.

From the beginning, police agencies made it clear that very large numbers of police stops would have to occur before an officer might interdict a significant drug shipment. Unstated in that calculation was that many Americans would be subjected to police investigations so that a small number of high-level offenders might be found. The key element in this strategy, which kept it hidden from widespread public scrutiny, was that middle-class white Americans were largely exempt from its consequences.

Tracking these police practices down to the officer level, Suspect Citizens documents the extreme rarity of drug busts and reveals sustained and troubling disparities in how racial groups are treated….

• Offers an empirically rigorous examination of who the police interact with and how, analyzing a database of 20 million traffic stops collected over more than a decade
• Assesses both the efficacy and costs of war on crime policies and discusses implications for American democracy
• Suggests practical policy reforms police administrators can implement today to reduce disparities, improve police-citizen relations, and help fight crime…(More)”

Sam Brown at DotEveryone: “..adopting a Responsible Technology approach isn’t straightforward. There’s currently no roadmap, or even any common language, about how to embed responsible technology practices in practical and tangible ways.

That’s why Doteveryone has spent the last year researching the issues organisations face and we’re now developing a model that will help organisations do just that.

The 3C model helps to guide organisations on how to assess the level of responsibility of their technology products or services as they develop them.

It’s not an ethical bible which dictates right from wrong, but a framework which gives teams space and parameters to foresee the potential impacts their technologies could have and to consider how to handle them.

Our 3C Model of Responsible Technology considers:

1. the Context of the wider world a technology product or service exists within
2. the potential ways technology can have unintended Consequences
3. the different Contribution people make to a technology — how value is given and received

We are developing a number of assessment tools which product teams can work through to help them examine and evaluate each of these areas in real time during the development cycle. The form of the assessments range from checklists to step-by-step information mapping to team board games….(More)”.

Nicole Wallace at the Chronicle of Philanthropy: “The chaos and confusion of conflict often separate family members fleeing for safety. The nonprofit Refunite uses advanced technology to help loved ones reconnect, sometimes across continents and after years of separation.

Refugees register with the service by providing basic information — their name, age, birthplace, clan and subclan, and so forth — along with similar facts about the people they’re trying to find. Powerful algorithms search for possible matches among the more than 1.1 million individuals in the Refunite system. The analytics are further refined using the more than 2,000 searches that the refugees themselves do daily.

The goal: find loved ones or those connected to them who might help in the hunt. Since Refunite introduced the first version of the system in 2010, it has helped more than 40,000 people reconnect.

One factor complicating the work: Cultures define family lineage differently. Refunite co-founder Christopher Mikkelsen confronted this problem when he asked a boy in a refugee camp if he knew where his mother was. “He asked me, ‘Well, what mother do you mean?’ ” Mikkelsen remembers. “And I went, ‘Uh-huh, this is going to be challenging.’ ”

Fortunately, artificial intelligence is well suited to learn and recognize different family patterns. But the technology struggles with some simple things like distinguishing the image of a chicken from that of a car. Mikkelsen believes refugees in camps could offset this weakness by tagging photographs — “car” or “not car” — to help train algorithms. Such work could earn them badly needed cash: The group hopes to set up a system that pays refugees for doing such work.

“To an American, earning $4 a day just isn’t viable as a living,” Mikkelsen says. “But to the global poor, getting an access point to earning this is revolutionizing.”

Another group, Wild Me, a nonprofit created by scientists and technologists, has created an open-source software platform that combines artificial intelligence and image recognition, to identify and track individual animals. Using the system, scientists can better estimate the number of endangered animals and follow them over large expanses without using invasive techniques….

To fight sex trafficking, police officers often go undercover and interact with people trying to buy sex online. Sadly, demand is high, and there are never enough officers.

Enter Seattle Against Slavery. The nonprofit’s tech-savvy volunteers created chatbots designed to disrupt sex trafficking significantly. Using input from trafficking survivors and law-enforcement agencies, the bots can conduct simultaneous conversations with hundreds of people, engaging them in multiple, drawn-out conversations, and arranging rendezvous that don’t materialize. The group hopes to frustrate buyers so much that they give up their hunt for sex online….

A Philadelphia charity is using machine learning to adapt its services to clients’ needs.

Benefits Data Trust helps people enroll for government-assistance programs like food stamps and Medicaid. Since 2005, the group has helped more than 650,000 people access $7 billion in aid.

The nonprofit has data-sharing agreements with jurisdictions to access more than 40 lists of people who likely qualify for government benefits but do not receive them. The charity contacts those who might be eligible and encourages them to call the Benefits Data Trust for help applying….(More)”.

Web Foundation: “Open data has the potential to change politics, economies and societies for the better by giving people more opportunities to engage in the decisions that affect their lives. But to reach the full potential of open data, it must be available to and used by all. Yet, across the globe — and in Africa in particular — there is a significant data gap.

This report — Is open data working for women in Africa — maps the current state of open data for women across Africa, with insights from country-specific research in Nigeria, Cameroon, Uganda and South Africa with additional data from a survey of experts in 12 countries across the continent.

Our findings show that, despite the potential for open data to empower people, it has so far changed little for women living in Africa.

Key findings

• There is a closed data culture in Africa — Most countries lack an open culture and have legislation and processes that are not gender-responsive. Institutional resistance to disclosing data means few countries have open data policies and initiatives at the national level. In addition, gender equality legislation and policies are incomplete and failing to reduce gender inequalities. And overall, Africa lacks the cross-organisational collaboration needed to strengthen the open data movement.
• There are barriers preventing women from using the data that is available — Cultural and social realities create additional challenges for women to engage with data and participate in the technology sector. 1GB of mobile data in Africa costs, on average, 10% of average monthly income. This high cost keeps women, who generally earn less than men, offline. Moreover, time poverty, the gender pay gap and unpaid labour create economic obstacles for women to engage with digital technology.
• Key datasets to support the advocacy objectives of women’s groups are missing — Data on budget, health and crime are largely absent as open data. Nearly all datasets in sub-Saharan Africa (373 out of 375) are closed, and sex-disaggregated data, when available online, is often not published as open data. There are few open data policies to support opening up of key datasets and even when they do exist, they largely remain in draft form. With little investment in open data initiatives, good data management practices or for implementing Right To Information (RTI) reforms, improvement is unlikely.
• There is no strong base of research on women’s access and use of open data — There is lack of funding, little collaboration and few open data champions. Women’s groups, digital rights groups and gender experts rarely collaborate on open data and gender issues. To overcome this barrier, multi-stakeholder collaborations are essential to develop effective solutions….(More)”.

Book edited by Ali Emrouznejad and Vincent Charles: “This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes….(More)”.

PewInternet: “This month marks the fifth anniversary of the #BlackLivesMatter hashtag, which was first coined following the acquittal of George Zimmerman in the shooting death of unarmed black teenager Trayvon Martin. In the course of those five years, #BlackLivesMatter has become an archetypal example of modern protests and political engagement on social media: A new Pew Research Center analysis of public tweets finds the hashtag has been used nearly 30 million times on Twitter – an average of 17,002 times per day – as of May 1, 2018.

The conversations surrounding this hashtag often center on issues related to race, violence and law enforcement, and its usage periodically surges surrounding real-world events – most prominently, during the police-related deaths of Alton Sterling and Philando Castile and the subsequent shooting of police officers in Dallas, Texas, and Baton Rouge, Louisiana, in July 2016.¹

The rise of the #BlackLivesMatter hashtag – along with others like #MeToo and #MAGA (Make America Great Again) – has sparked a broader discussion about the effectiveness and viability of using social media for political engagement and social activism. To that end, a new survey by the Center finds that majorities of Americans do believe these sites are very or somewhat important for accomplishing a range of political goals, such as getting politicians to pay attention to issues (69% of Americans feel these platforms are important for this purpose) or creating sustained movements for social change (67%).

Certain groups of social media users – most notably, those who are black or Hispanic – view these platforms as an especially important tool for their own political engagement. For example, roughly half of black social media users say these platforms are at least somewhat personally important to them as a venue for expressing their political views or for getting involved with issues that are important to them. Those shares fall to around a third among white social media users.²

At the same time, the public as a whole expresses mixed views about the potential broader impact these sites might be having on political discourse and the nature of political activism. Some 64% of Americans feel that the statement “social media help give a voice to underrepresented groups” describes these sites very or somewhat well. But a larger share say social networking sites distract people from issues that are truly important (77% feel this way), and 71% agree with the assertion that “social media makes people believe they’re making a difference when they really aren’t.” Blacks and whites alike offer somewhat mixed assessments of the benefits and costs of activism on social media. But larger majorities of black Americans say these sites promote important issues or give voice to underrepresented groups, while smaller shares of blacks feel that political engagement on social media produces significant downsides in the form of a distracted public or “slacktivism.”…(More)”.