Report by Joanne Kim: “This report includes findings from a two-month-long study of data brokers and data on U.S. individuals’ mental health conditions. The report aims to make more transparent the data broker industry and its processes for selling and exchanging mental health data about depressed and anxious individuals. The research is critical as more depressed and anxious individuals utilize personal devices and software-based health-tracking applications (many of which are not protected by the Health Insurance Portability and Accountability Act), often unknowingly putting their sensitive mental health data at risk. This report finds that the industry appears to lack a set of best practices for handling individuals’ mental health data, particularly in the areas of privacy and buyer vetting. It finds that there are data brokers which advertise and are willing and able to sell data concerning Americans’ highly sensitive mental health information. It concludes by arguing that the largely unregulated and black-box nature of the data broker industry, its buying and selling of sensitive mental health data, and the lack of clear consumer privacy protections in the U.S. necessitate a comprehensive federal privacy law or, at the very least, an expansion of HIPAA’s privacy protections alongside bans on the sale of mental health data on the open market…(More)”.
Who lives in rural America? How data shapes (and misshapes) conceptions of diversity in rural America
CORI Blog: “Racial and ethnic diversity is one of the most commonly misunderstood aspects of rural America.
National media depictions of white farmers and ranchers in the West and Midwest, white coal miners in Appalachia, or the “white working class” living in rural communities reinforce the misconception that rural areas are homogeneously white. It is a misconception that ignores that 86 of the 100 most marginalized counties in the country are rural, 60 of which are located in Tribal lands or Southern regions with large Black populations. It is a misconception that renders invisible the 14 million Black, Hispanic or Latino, Asian, Native, and multiracial people who live in rural America (2020 census-nonmetro plus).
It is a misconception that holds significant consequences.
Misunderstandings of diversity in rural America can inhibit efforts to support programming and policies designed to increase the ability of rural communities to thrive. For rural communities to thrive, national, state, and local leaders need to take efforts to systematically address racial and ethnic inequities that limit the freedom, safety, and opportunity of rural people of color.
There is an imperative to better understand who lives in rural America today. In just the past few years, billions of public and private dollars have been committed to building a more equitable economy. The Infrastructure Investment and Jobs Act (IIJA), the CHIPS Act, and the Inflation Reduction Act (IRA) have committed hundreds of billions of dollars that will be invested by federal agencies and state and local governments in healthcare, housing, energy, and economic development.
As part of these efforts, the Biden administration has ordered federal agencies to prioritize advancing racial equity in the design of these programs and the distribution of resources. Similarly, companies and philanthropy have made racial equity commitments of more than $200 billion. With these public and private commitments, hundreds of billions of dollars will be invested in the coming years with a specific focus on addressing racial equity.
Yet, if these historic investments are not informed by an accurate understanding of rural demographics and how these communities have evolved over time in response to government policies and settler-influenced power shifts, then we risk excluding rural communities and people of color from the critical resources that are needed to strengthen communities and economies that serve everyone.
In Part I of the second story in our Rural Aperture Project, we seek to explain how and why such flawed conceptions of rural America exist…(More)”.
Civic Freedom in an Age of Diversity
Book edited by Dimitrios Karmis and Jocelyn Maclure: “James Tully is one of the world’s most influential political philosophers at work today. Over the past thirty years – first with Strange Multiplicity (1995), and more fully with Public Philosophy in a New Key (2008) and On Global Citizenship (2014) – Tully has developed a distinctive approach to the study of political philosophy, democracy, and active citizenship for a deeply diverse world and a de-imperializing age.
Civic Freedom in an Age of Diversity explores, elucidates, and questions Tully’s innovative approach, methods, and concepts, providing both a critical assessment of Tully’s public philosophy and an exemplification of the dialogues of reciprocal elucidation that are central to Tully’s approach. Since the role of public philosophy is to address public affairs, the contributors consider public philosophy in the context of pressing issues and recent civic struggles such as: crises of democracy and citizenship in the Western world; global citizenship; civil disobedience and non-violence; Indigenous self-determination; nationalism and federalism in multinational states; protest movements in Turkey and Quebec; supranational belonging in the European Union; struggles over equity in academia; and environmental decontamination, decolonization, and cultural restoration in Akwesasne….(More)”
Americans Don’t Understand What Companies Can Do With Their Personal Data — and That’s a Problem
Press Release by the Annenberg School for Communications: “Have you ever had the experience of browsing for an item online, only to then see ads for it everywhere? Or watching a TV program, and suddenly your phone shows you an ad related to the topic? Marketers clearly know a lot about us, but the extent of what they know, how they know it, and what they’re legally allowed to know can feel awfully murky.
In a new report, “Americans Can’t Consent to Companies’ Use of Their Data,” researchers asked a nationally representative group of more than 2,000 Americans to answer a set of questions about digital marketing policies and how companies can and should use their personal data. Their aim was to determine if current “informed consent” practices are working online.
They found that the great majority of Americans don’t understand the fundamentals of internet marketing practices and policies, and that many feel incapable of consenting to how companies use their data. As a result, the researchers say, Americans can’t truly give informed consent to digital data collection.
The survey revealed that 56% of American adults don’t understand the term “privacy policy,” often believing it means that a company won’t share their data with third parties without permission. In actual fact, many of these policies state that a company can share or sell any data it gathers about site visitors with other websites or companies.
Perhaps because so many Americans feel that internet privacy feels impossible to comprehend — with “opting-out” or “opting-in,” biometrics, and VPNs — they don’t trust what is being done with their digital data. Eighty percent of Americans believe that what companies know about them can cause them harm.
“People don’t feel that they have the ability to protect their data online — even if they want to,” says lead researcher Joseph Turow, Robert Lewis Shayon Professor of Media Systems & Industries at the Annenberg School for Communication at the University of Pennsylvania….(More)”
Letting the public decide is key to Big Tech regulation
Article by Rana Foroohar: “Complexity is often used to obfuscate. Industries like finance, pharmaceuticals and particularly technology are rife with examples. Just as programmers can encrypt code or strip out metadata to protect the workings of their intellectual property, so insiders — from technologists to economists to lawyers — can defend their business models by using industry jargon and Byzantine explanations of simple concepts in order to obscure things they may not want the public to understand.
That’s why it’s so important that in its second major antitrust case filed against Google, the US Department of Justice last month asked not only that the company break up its advertising business, but that a jury of the people decide whether it must do so. This is extremely unusual for antitrust cases, which are usually decided by a judge.
It is a risky move, since it means that the DoJ’s antitrust division head, Jonathan Kanter, will have to deconstruct the online advertising auction business for lay people. But it’s also quite smart. The federal judges who hear such complex antitrust cases tend to be older, conservative types who are historically more likely to align themselves with large corporations.
As one legal scholar pointed out to me, such judges are reluctant to be seen as people who don’t understand complexity, even when it’s in a realm far outside their own. This may make them more likely to agree with the arguments put forward by expert witnesses — the Nobel laureates who construct auction models, for example — than average people who are willing to admit they simply don’t get it…
There are, of course, risks to policy by populism. Look at Britain’s departure from the EU after the 2016 referendum, which has left the country poorer. But that’s how democracy works. Allowing important decisions over key issues like corporate power and the rules of surveillance capitalism to be made by technocrats behind closed doors also carries dangers. The justice department is quite right that ordinary people should be able to hear the arguments…(More)”.
The Power of Citizen Science
Lauren Kirchner at ConsumerReport: “You’ve heard of Erin Brockovich, the law clerk without a science degree who exposed the existence of a dangerous contaminant polluting a town’s groundwater, a toxic hazard that otherwise might have stayed invisible.
She’s not the first person to practice “citizen science” to powerful effect, nor will she be the last.
Maybe you’ve wondered whether that plastic container you’re about to zap in the microwave is really safe to use or whether your favorite chipped coffee mug is exposing you to toxic paint. Some particularly enterprising people who’ve had similar concerns have also wondered—but then took the extra step of testing the chemical makeup of what they were concerned about and then publicized the results.
These citizen testers aren’t professional chemists or government regulators, but all of them were able to raise red flags and spark important conversations about the health hazards that can be hiding in our homes and lives…(More)”.
582,462 and Counting
Series in The New York Times: “They go into the streets in search of data. Peeking behind dumpsters, shining flashlights under bridges, rustling a frosted tent to see if anyone was inside. This is what it takes to count the people in America who don’t have a place to live. To get a number, however flawed, that describes the scope of a deeply entrenched problem and the country’s progress toward fixing it.
Last year, the Biden administration laid out a goal to reduce homelessness by 25 percent by 2025. The problem increasingly animates local politics, with ambitious programs to build affordable housing getting opposition from homeowners who say they want encampments gone but for the solution to be far from their communities. Across the country, homelessness is a subject in which declarations of urgency outweigh measurable progress.
Officially called the Point-in-Time Count, the annual tally of those who live outside or in homeless shelters takes place in every corner of the country through the last 10 days of January, and over the past dozen years has found 550,000 to 650,000 people experiencing homelessness. The endeavor is far from perfect, advocates note, since it captures no more than a few days and is almost certainly a significant undercount. But it’s a snapshot from which resources flow, and creates a shared understanding of a common problem.
This year, reporters and photographers from The New York Times shadowed the count, using a sampling of four very different communities — warm and cold, big and small, rural and urban — to examine the same problem in vastly different places…(More)”.
Leveraging Data for Racial Equity in Workforce Opportunity
Report by CODE: “Across many decades, obstacles to gainful employment have limited the ability of Black Americans and other people of color to obtain well-paying jobs that create wealth and contribute to health and well-being.
A dearth of opportunity in the job market is related to inequalities in education, bias in hiring, and other forms of systemic inequality in the U.S.
Over time, federal efforts have addressed the need to increase diversity, equity, and inclusion in the government workforce, and promoted similar changes in the broader society. While these efforts have brought progress, they have not been entirely effective. At the same time, federal action has made new kinds of data available—data that can shed light on some of the historic drivers of workforce inequity and help inform solutions to their ongoing impact.
This report explores a number of current opportunities to strengthen longstanding data-driven tools to address workforce inequity. The report shows how the effects of workforce discrimination and other historic practices are still being felt today. At the same time, it outlines opportunities to apply data to increase equity in many areas related to the workforce gap, including disparities in health and wellbeing, socioeconomic status, and housing insecurity…(More)”.
Because Data Can’t Speak for Itself
“A Practical Guide to Telling Persuasive Policy Stories” by David Chrisinger and Lauren Brodsky: “People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand. And if leaders can’t communicate well to their audience, they will not be able to make important changes in the world.
Why do some evidence-based ideas thrive while others die? And how do we improve the chances of worthy ideas? In Because Data Can’t Speak for Itself, accomplished educators and writers David Chrisinger and Lauren Brodsky tackle these questions head-on. They reveal the parts and functions of effective data-driven stories and explain myriad ways to turn your data dump into a narrative that can inform, persuade, and inspire action.
Chrisinger and Brodsky show that convincing data-driven stories draw their power from the same three traits, which they call people, purpose, and persistence. Writers need to find the real people behind the numbers and share their stories. At the same time, they need to remember their own purpose and be honest about what data says—and, just as importantly, what it does not.
Compelling and concise, this fast-paced tour of success stories—and several failures—includes examples on topics such as COVID-19, public diplomacy, and criminal justice…(More)”
Data Free Disney
Essay by Janet Vertesy: “…Once upon a time, you could just go to Disneyland. You could get tickets at the gates, stand in line for rides, buy food and tchotchkes, even pick up copies of your favorite Disney movies at a local store. It wasn’t even that long ago. The last time I visited, in 2010, the company didn’t record what I ate for dinner or detect that I went on Pirates of the Caribbean five times. It was none of their business.
But sometime in the last few years, tracking and tracing became their business. Like many corporations out there, Walt Disney Studios spent the last decade transforming into a data company.
The theme parks alone are a data scientist’s dream. Just imagine: 50,000 visitors a day, most equipped with cell phones and a specialized app. Millions of location traces, along with rides statistics, lineup times, and food-order preferences. Thousands and thousands of credit card swipes, each populating a database with names and addresses, each one linking purchases across the park grounds.1 A QR-code scavenger hunt that records the path people took through Star Wars: Galaxy’s Edge. Hotel keycards with entrance times, purchases, snack orders, and more. Millions of photos snapped on rides and security cameras throughout the park, feeding facial-recognition systems. Tickets with names, birthdates, and portraits attached. At Florida’s Disney World, MagicBands—bracelets using RFID (radio-frequency identification) technology—around visitors’ wrists gather all that information plus fingerprints in one place, while sensors ambiently detect their every move. What couldn’t you do with all that data?…(More)”.