Technology, Activism, and Social Justice in a Digital Age


Book edited by John G. McNutt: “…offers a close look at both the present nature and future prospects for social change. In particular, the text explores the cutting edge of technology and social change, while discussing developments in social media, civic technology, and leaderless organizations — as well as more traditional approaches to social change.

It effectively assembles a rich variety of perspectives to the issue of technology and social change; the featured authors are academics and practitioners (representing both new voices and experienced researchers) who share a common devotion to a future that is just, fair, and supportive of human potential.

They come from the fields of social work, public administration, journalism, law, philanthropy, urban affairs, planning, and education, and their work builds upon 30-plus years of research. The authors’ efforts to examine changing nature of social change organizations and the issues they face will help readers reflect upon modern advocacy, social change, and the potential to utilize technology in making a difference….(More)”

From Code to Cure


David J. Craig at Columbia Magazine: “Armed with enormous amounts of clinical data, teams of computer scientists, statisticians, and physicians are rewriting the rules of medical research….

The deluge is upon us.

We are living in the age of big data, and with every link we click, every message we send, and every movement we make, we generate torrents of information.

In the past two years, the world has produced more than 90 percent of all the digital data that has ever been created. New technologies churn out an estimated 2.5 quintillion bytes per day. Data pours in from social media and cell phones, weather satellites and space telescopes, digital cameras and video feeds, medical records and library collections. Technologies monitor the number of steps we walk each day, the structural integrity of dams and bridges, and the barely perceptible tremors that indicate a person is developing Parkinson’s disease. These are the building blocks of our knowledge economy.

This tsunami of information is also providing opportunities to study the world in entirely new ways. Nowhere is this more evident than in medicine. Today, breakthroughs are being made not just in labs but on laptops, as biomedical researchers trained in mathematics, computer science, and statistics use powerful new analytic tools to glean insights from enormous data sets and help doctors prevent, treat, and cure disease.

“The medical field is going through a major period of transformation, and many of the changes are driven by information technology,” says George Hripcsak ’85PS,’00PH, a physician who chairs the Department of Biomedical Informatics at Columbia University Irving Medical Center (CUIMC). “Diagnostic techniques like genomic screening and high-resolution imaging are generating more raw data than we’ve ever handled before. At the same time, researchers are increasingly looking outside the confines of their own laboratories and clinics for data, because they recognize that by analyzing the huge streams of digital information now available online they can make discoveries that were never possible before.” …

Consider, for example, what the young computer scientist has been able to accomplish in recent years by mining an FDA database of prescription-drug side effects. The archive, which contains millions of reports of adverse drug reactions that physicians have observed in their patients, is continuously monitored by government scientists whose job it is to spot problems and pull drugs off the market if necessary. And yet by drilling down into the database with his own analytic tools, Tatonetti has found evidence that dozens of commonly prescribed drugs may interact in dangerous ways that have previously gone unnoticed. Among his most alarming findings: the antibiotic ceftriaxone, when taken with the heartburn medication lansoprazole, can trigger a type of heart arrhythmia called QT prolongation, which is known to cause otherwise healthy people to suddenly drop dead…(More)”

Predicting Public Interest Issue Campaign Participation on Social Media


Jungyun Won, Linda Hon, Ah Ram Lee in the Journal of Public Interest Communication: “This study investigates what motivates people to participate in a social media campaign in the context of animal protection issues.

Structural equation modeling (SEM) tested a proposed research model with survey data from 326 respondents.

Situational awareness, participation benefits, and social ties influence were positive predictors of social media campaign participation intentions. Situational awareness also partially mediates the relationship between participation benefits and participation intentions as well as strong ties influence and participation intentions.

When designing social media campaigns, public interest communicators should raise situational awareness and emphasize participation benefits. Messages shared through social networks, especially via strong ties, also may be more effective than those posted only on official websites or social networking sites (SNSs)….(More)”.

Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction


Introduction to the Special issue of Social Media + Society on “Ethics as Methods: Doing Ethics in the Era of Big Data Research”: Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research.

In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is removed from the process of analysis.

This situates data science as a process of analysis performed by the tool, which obscures human decisions in the process. The scholars involved in this Special Issue problematize the assumptions and trends in big data research and point out the crisis in accountability that emerges from using such data to make societal interventions.

Our collaborators offer a range of answers to the question of how to configure ethics through a methodological framework in the context of the prevalence of big data, neural networks, and automated, algorithmic governance of much of human socia(bi)lity…(More)”.

The Data Transfer Project


About: “The Data Transfer Project was formed in 2017 to create an open-source, service-to-service data portability platform so that all individuals across the web could easily move their data between online service providers whenever they want.

The contributors to the Data Transfer Project believe portability and interoperability are central to innovation. Making it easier for individuals to choose among services facilitates competition, empowers individuals to try new services and enables them to choose the offering that best suits their needs.

Current contributors include Facebook, Google, Microsoft and Twitter.

Individuals have many reasons to transfer data, but we want to highlight a few examples that demonstrate the additional value of service-to-service portability.

  • A user discovers a new photo printing service offering beautiful and innovative photo book formats, but their photos are stored in their social media account. With the Data Transfer Project, they could visit a website or app offered by the photo printing service and initiate a transfer directly from their social media platform to the photo book service.
  • A user doesn’t agree with the privacy policy of their music service. They want to stop using it immediately, but don’t want to lose the playlists they have created. Using this open-source software, they could use the export functionality of the original Provider to save a copy of their playlists to the cloud. This enables them to import the lists to a new Provider, or multiple Providers, once they decide on a new service.
  • A large company is getting requests from customers who would like to import data from a legacy Provider that is going out of business. The legacy Provider has limited options for letting customers move their data. The large company writes an Adapter for the legacy Provider’s Application Program Interfaces (APIs) that permits users to transfer data to their service, also benefiting other Providers that handle the same data type.
  • A user in a low bandwidth area has been working with an architect on drawings and graphics for a new house. At the end of the project, they both want to transfer all the files from a shared storage system to the user’s cloud storage drive. They go to the cloud storage Data Transfer Project User Interface (UI) and move hundreds of large files directly, without straining their bandwidth.
  • An industry association for supermarkets wants to allow customers to transfer their loyalty card data from one member grocer to another, so they can get coupons based on buying habits between stores. The Association would do this by hosting an industry-specific Host Platform of DTP.

The innovation in each of these examples lies behind the scenes: Data Transfer Project makes it easy for Providers to allow their customers to interact with their data in ways their customers would expect. In most cases, the direct-data transfer experience will be branded and managed by the receiving Provider, and the customer wouldn’t need to see DTP branding or infrastructure at all….

To get a more in-depth understanding of the project, its fundamentals and the details involved, please download “Data Transfer Project Overview and Fundamentals”….(More)”.

Let’s make private data into a public good


Article by Mariana Mazzucato: “The internet giants depend on our data. A new relationship between us and them could deliver real value to society….We should ask how the value of these companies has been created, how that value has been measured, and who benefits from it. If we go by national accounts, the contribution of internet platforms to national income (as measured, for example, by GDP) is represented by the advertisement-related services they sell. But does that make sense? It’s not clear that ads really contribute to the national product, let alone to social well-being—which should be the aim of economic activity. Measuring the value of a company like Google or Facebook by the number of ads it sells is consistent with standard neoclassical economics, which interprets any market-based transaction as signaling the production of some kind of output—in other words, no matter what the thing is, as long as a price is received, it must be valuable. But in the case of these internet companies, that’s misleading: if online giants contribute to social well-being, they do it through the services they provide to users, not through the accompanying advertisements.

This way we have of ascribing value to what the internet giants produce is completely confusing, and it’s generating a paradoxical result: their advertising activities are counted as a net contribution to national income, while the more valuable services they provide to users are not.

Let’s not forget that a large part of the technology and necessary data was created by all of us, and should thus belong to all of us. The underlying infrastructure that all these companies rely on was created collectively (via the tax dollars that built the internet), and it also feeds off network effects that are produced collectively. There is indeed no reason why the public’s data should not be owned by a public repository that sells the data to the tech giants, rather than vice versa. But the key issue here is not just sending a portion of the profits from data back to citizens but also allowing them to shape the digital economy in a way that satisfies public needs. Using big data and AI to improve the services provided by the welfare state—from health care to social housing—is just one example.

Only by thinking about digital platforms as collective creations can we construct a new model that offers something of real value, driven by public purpose. We’re never far from a media story that stirs up a debate about the need to regulate tech companies, which creates a sense that there’s a war between their interests and those of national governments. We need to move beyond this narrative. The digital economy must be subject to the needs of all sides; it’s a partnership of equals where regulators should have the confidence to be market shapers and value creators….(More)”.

Health Insurers Are Vacuuming Up Details About You — And It Could Raise Your Rates


Marshall Allen at ProPublica: “With little public scrutiny, the health insurance industry has joined forces with data brokers to vacuum up personal details about hundreds of millions of Americans, including, odds are, many readers of this story. The companies are tracking your race, education level, TV habits, marital status, net worth. They’re collecting what you post on social media, whether you’re behind on your bills, what you order online. Then they feed this information into complicated computer algorithms that spit out predictions about how much your health care could cost them.

Are you a woman who recently changed your name? You could be newly married and have a pricey pregnancy pending. Or maybe you’re stressed and anxious from a recent divorce. That, too, the computer models predict, may run up your medical bills.

Are you a woman who’s purchased plus-size clothing? You’re considered at risk of depression. Mental health care can be expensive.

Low-income and a minority? That means, the data brokers say, you are more likely to live in a dilapidated and dangerous neighborhood, increasing your health risks.

“We sit on oceans of data,” said Eric McCulley, director of strategic solutions for LexisNexis Risk Solutions, during a conversation at the data firm’s booth. And he isn’t apologetic about using it. “The fact is, our data is in the public domain,” he said. “We didn’t put it out there.”

Insurers contend they use the information to spot health issues in their clients — and flag them so they get services they need. And companies like LexisNexis say the data shouldn’t be used to set prices. But as a research scientist from one company told me: “I can’t say it hasn’t happened.”

At a time when every week brings a new privacy scandal and worries abound about the misuse of personal information, patient advocates and privacy scholars say the insurance industry’s data gathering runs counter to its touted, and federally required, allegiance to patients’ medical privacy. The Health Insurance Portability and Accountability Act, or HIPAA, only protects medical information.

“We have a health privacy machine that’s in crisis,” said Frank Pasquale, a professor at the University of Maryland Carey School of Law who specializes in issues related to machine learning and algorithms. “We have a law that only covers one source of health information. They are rapidly developing another source.”…(More)”.

‘Data is a fingerprint’: why you aren’t as anonymous as you think online


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)”.

Activism in the Social Media Age


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.

Use of the #BlackLivesMatter hashtag on Twitter periodically spikes in response to major news events

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)”.

Meet the Numtots: the millennials who find fixing public transport sexy


Elle Hunt in The Guardian: “Who makes a Facebook meme group about trains? The Numtots, that’s who: a global network of millennials who want to make cities better

A metro-map style logo for the New Urbanist Memes for Transit-Oriented Teens Facebook group.
 A metro-map style logo for the New Urbanist Memes for Transit-Oriented Teens Facebook group. Illustration: Mitchell Sheldrick/New Urbanist Memes for Transit-Oriented Teens.

The year is 2025. There are no cars, only public transport and bicycles. Four-lane highways have been replaced by bike paths. Pedestrians share the pavements with cyclists. The air is clean (because the buses are electric), and the living is easy.

This is the future the Numtots want.

Predominantly millennials with a passion for public transport, urban planning and internet humour, Numtots’ interests intersect in New Urbanist Memes for Transit-Oriented Teens, the Facebook group from which they derive their nickname. There, nearly 100,000 of them discuss and debate their perfect city, or transit lines in their area, or perpendicular traffic flow and improvisational vehicle pathing….Numtots – or just ’tots – are the sorts of older teens through to thirtysomethings who identify as being “irrationally excited” for the forthcoming Maryland purple line; who claim their first word as a child was “bus” (“I think I was destined to become a Numtot …”); who stridently propose ideas for “what the Amtrak system should look like” (“Fight me if you don’t like it”); and who mercilessly make fun of Richard Florida’s leather jacket….

Numtots’ guiding principles are broadly summed up by the page’s URL: “What would Jane Jacobs do?”…The enthusiastic response to the group – and the Generation Y-led “yimby” movement for high-density housing it dovetails with – suggests there may be something fundamentally millennial about urbanism. “I think at first people were really excited that they had a place to talk about living in cities,” says Orenstein, also 21. “But as the group has picked up steam, more people are joining that weren’t interested in the issues but are finding that maybe, actually, they are.” It makes sense: improving public transport, transitioning to renewable energy and investing in future-focused infrastructure are not often vote winners, being costly and slow to enact – but young people have more of a stake in seeing them put into action….(More)”.