Narrative Observatory

Curated on Posted on by Stefaan Verhulst

About: “With initial support from the Bill & Melinda Gates Foundation, we are designing and developing a new purpose-built, multi-disciplinary, cross-institutional data platform to enable the reliable identification, measurement, and tracking of cultural narratives over long time scales across multiple cultural domains and media types, like online news, broadcast television, talk radio, and social media. Designed to provide better understanding of the cultural environment for key social issues, and more effective measurement of efforts to alter these environments, the goal is to help narrative change makers reach smarter strategic decisions and better understand their work’s impact.

We’re starting by looking at narratives around poverty and economic mobility in the U.S. . .(More)

Are Food Labels Good?

Curated on Posted on by Stefaan Verhulst

Paper by Cass Sunstein: “Do people from benefit from food labels? When? By how much? Public officials face persistent challenges in answering these questions. In various nations, they use four different approaches: they refuse to do so on the ground that quantification is not feasible; they engage in breakeven analysis; they project end-states, such as economic savings or health outcomes; and they estimate willingness-to-pay for the relevant information. Each of these approaches runs into strong objections. In principle, the willingness-to-pay question has important advantages. But for those who has that question, there is a serious problem. In practice, people often lack enough information to give a sensible answer to the question how much they would be willing to pay for (more) information. People might also suffer from behavioral biases (including present bias and optimistic bias). And when preferences are labile or endogenous, even an informed and unbiased answer to the willingness to pay question may fail to capture the welfare consequences, because people may develop new tastes and values as a result of information….(More)”.

How urban design can make or break protests

Curated on Posted on by Stefaan Verhulst

Peter Schwartzstein in Smithsonian Magazine: “If protesters could plan a perfect stage to voice their grievances, it might look a lot like Athens, Greece. Its broad, yet not overly long, central boulevards are almost tailor-made for parading. Its large parliament-facing square, Syntagma, forms a natural focal point for marchers. With a warren of narrow streets surrounding the center, including the rebellious district of Exarcheia, it’s often remarkably easy for demonstrators to steal away if the going gets rough.

Los Angeles, by contrast, is a disaster for protesters. It has no wholly recognizable center, few walkable distances, and little in the way of protest-friendly space. As far as longtime city activists are concerned, just amassing small crowds can be an achievement. “There’s really just no place to go, the city is structured in a way that you’re in a city but you’re not in a city,” says David Adler, general coordinator at the Progressive International, a new global political group. “While a protest is the coming together of a large group of people and that’s just counter to the idea of L.A.”

Among the complex medley of moving parts that guide protest movements, urban design might seem like a fairly peripheral concern. But try telling that to demonstrators from Houston to Beijing, two cities that have geographic characteristics that complicate public protest. Low urban density can thwart mass participation. Limited public space can deprive protesters of the visibility and hence the momentum they need to sustain themselves. On those occasions when proceedings turn messy or violent, alleyways, parks, and labyrinthine apartment buildings can mean the difference between detention and escape….(More)”.

Data is Dangerous: Comparing the Risks that the United States, Canada and Germany See in Data Troves

Curated on Posted on by Stefaan Verhulst

Paper by Susan Ariel Aaronson: “Data and national security have a complex relationship. Data is essential to national defense — to understanding and countering adversaries. Data underpins many modern military tools from drones to artificial intelligence. Moreover, to protect their citizens, governments collect lots of data about their constituents. Those same datasets are vulnerable to theft, hacking, and misuse. In 2013, the Department of Defense’s research arm (DARPA) funded a study examining if “ the availability of data provide a determined adversary with the tools necessary to inflict nation-state level damage. The results were not made public. Given the risks to the data of their citizens, defense officials should be vociferous advocates for interoperable data protection rules.

This policy brief uses case studies to show that inadequate governance of personal data can also undermine national security. The case studies represent diverse internet sectors affecting netizens differently. I do not address malware or disinformation, which are also issues of data governance, but have already been widely researched by other scholars. I illuminate how policymakers, technologists, and the public are/were unprepared for how inadequate governance spillovers affected national security. I then makes some specific recommendations about what we can do about this problem….(More)”.

The National Cancer Institute Cancer Moonshot Public Access and Data Sharing Policy—Initial assessment and implications

Curated on Posted on by Stefaan Verhulst

Paper by Tammy M. Frisby and Jorge L. Contreras: “Since 2013, federal research-funding agencies have been required to develop and implement broad data sharing policies. Yet agencies today continue to grapple with the mechanisms necessary to enable the sharing of a wide range of data types, from genomic and other -omics data to clinical and pharmacological data to survey and qualitative data. In 2016, the National Cancer Institute (NCI) launched the ambitious $1.8 billion Cancer Moonshot Program, which included a new Public Access and Data Sharing (PADS) Policy applicable to funding applications submitted on or after October 1, 2017. The PADS Policy encourages the immediate public release of published research results and data and requires all Cancer Moonshot grant applicants to submit a PADS plan describing how they will meet these goals. We reviewed the PADS plans submitted with approximately half of all funded Cancer Moonshot grant applications in fiscal year 2018, and found that a majority did not address one or more elements required by the PADS Policy. Many such plans made no reference to the PADS Policy at all, and several referenced obsolete or outdated National Institutes of Health (NIH) policies instead. We believe that these omissions arose from a combination of insufficient education and outreach by NCI concerning its PADS Policy, both to potential grant applicants and among NCI’s program staff and external grant reviewers. We recommend that other research funding agencies heed these findings as they develop and roll out new data sharing policies….(More)”.

The Computermen

Curated on Posted on by Stefaan Verhulst

Podcast Episode by Jill Lepore: “In 1966, just as the foundations of the Internet were being imagined, the federal government considered building a National Data Center. It would be a centralized federal facility to hold computer records from each federal agency, in the same way that the Library of Congress holds books and the National Archives holds manuscripts. Proponents argued that it would help regulate and compile the vast quantities of data the government was collecting. Quickly, though, fears about privacy, government conspiracies, and government ineptitude buried the idea. But now, that National Data Center looks like a missed opportunity to create rules about data and privacy before the Internet took off. And in the absence of government action, corporations have made those rules themselves….(More)”.

The Data Assembly

Curated on Posted on by Stefaan Verhulst

Press Release: “The Governance Lab (The GovLab), an action research center at New York University Tandon School of Engineering, with the support of the Henry Luce Foundation, announced the creation of The Data Assembly. Beginning in New York City, the effort will explore how communities perceive the risks and benefits of data re-use for COVID-19. Understanding that policymakers often lack information about the concerns of different stakeholders, The Data Assembly’s deliberations will inform the creation of a responsible data re-use framework to guide the use of data and technology at the city and state level to fight COVID-19’s many consequences.

The Data Assembly will hold deliberations with civil rights organizations, key data holders and policymakers, and the public at large. Consultations with these stakeholders will take place through a series of remote engagements, including surveys and an online town hall meeting. This work will allow the project to consider the perspectives of people from different strata of society and how they might exercise some control over the flow of data.

After the completion of these data re-use deliberations, The Data Assembly will create a path forward for using data responsibly to solve public challenges. The first phases of the project will commence in New York City, seeking to engage with city residents and their leaders on data governance issues. 

“Data is increasingly the primary format for sharing information to understand crises and plan recovery efforts; empowering everyone to better understand how data is collected and how it should be used is paramount,” said Adrienne Schmoeker, Director of Civic Engagement & Strategy and Deputy Chief Analytics Officer at the NYC Mayor’s Office of Data Analytics. “We look forward to learning from the insights gathered by the GovLab through The Data Assembly work they are conducting in New York City.”…(More)”.

Wrongfully Accused by an Algorithm

Curated on Posted on by Stefaan Verhulst

Kashmir Hill at the New York Times: “In what may be the first known case of its kind, a faulty facial recognition match led to a Michigan man’s arrest for a crime he did not commit….

The Shinola shoplifting occurred in October 2018. Katherine Johnston, an investigator at Mackinac Partners, a loss prevention firm, reviewed the store’s surveillance video and sent a copy to the Detroit police, according to their report.

Five months later, in March 2019, Jennifer Coulson, a digital image examiner for the Michigan State Police, uploaded a “probe image” — a still from the video, showing the man in the Cardinals cap — to the state’s facial recognition database. The system would have mapped the man’s face and searched for similar ones in a collection of 49 million photos.

The state’s technology is supplied for $5.5 million by a company called DataWorks Plus. Founded in South Carolina in 2000, the company first offered mug shot management software, said Todd Pastorini, a general manager. In 2005, the firm began to expand the product, adding face recognition tools developed by outside vendors.

When one of these subcontractors develops an algorithm for recognizing faces, DataWorks attempts to judge its effectiveness by running searches using low-quality images of individuals it knows are present in a system. “We’ve tested a lot of garbage out there,” Mr. Pastorini said. These checks, he added, are not “scientific” — DataWorks does not formally measure the systems’ accuracy or bias.

“We’ve become a pseudo-expert in the technology,” Mr. Pastorini said.

In Michigan, the DataWorks software used by the state police incorporates components developed by the Japanese tech giant NEC and by Rank One Computing, based in Colorado, according to Mr. Pastorini and a state police spokeswoman. In 2019, algorithms from both companies were included in a federal study of over 100 facial recognition systems that found they were biased, falsely identifying African-American and Asian faces 10 times to 100 times more than Caucasian faces….(More)“.

The Data Dividend Project

Curated on Posted on by Stefaan Verhulst

About: “The Data Dividend Project is a movement dedicated to taking back control of our personal data: our data is our property, and if we allow companies to use it, we should get paid for it. The DDP is the brainchild of former presidential candidate Andrew Yang. Its primary objective is to establish and enforce data property rights under laws such as the California Consumer Privacy Act (CCPA), which went into effect on January 1, 2020.

Every day, people are generating data simply by going about the business of living in an ever connected and digital world. Unbeknownst to most people, technology companies are tracking their every move online, extracting this data, and then buying and selling it for big money. The sale and resale of consumer data is called data brokering, which is itself a $200 billion industry.

For example, technology companies can extract location data from your mobile phone and sell it to advertisers who can then turn around and post local ads to you in real time. Until recently, the data collector – in this case, the technology company – was deemed to own the data. As the owner, the technology company could sell that data and profit handsomely. Meanwhile, you generated the data but received no share of those profits. DDP plans to change that.

Until this year, you, as the American consumer, had little recourse against technology companies who were profiting off your data without your consent or knowledge. Now, under the CCPA, Californians are endowed with a collection of unalienable data rights: the right to know what information is being collected on you, the right to delete that information, and the right to opt-out from technology companies collecting your data. These rights, however, are ignored and abused by technology companies. And unfortunately, individual consumers don’t have the leverage to be able to go up against these companies. That’s where DDP comes in….(More)“

Best Practices to Cover Ad Information Used for Research, Public Health, Law Enforcement & Other Uses

Curated on Posted on by Stefaan Verhulst

Press Release: “The Network Advertising Initiative (NAI) released privacy Best Practices for its members to follow if they use data collected for Tailored Advertising or Ad Delivery and Reporting for non-marketing purposes, such as sharing with research institutions, public health agencies, or law enforcement entities.

“Ad tech companies have data that can be a powerful resource for the public good if they follow this set of best practices for consumer privacy,” said Leigh Freund, NAI President and CEO. “During the COVID-19 pandemic, we’ve seen the opportunity for substantial public health benefits from sharing aggregate and de-identified location data.”

The NAI Code of Conduct – the industry’s premier self-regulatory framework for privacy, transparency, and consumer choice – covers data collected and used for Tailored Advertising or Ad Delivery and Reporting. The NAI Code has long addressed certain non-marketing uses of data collected for Tailored Advertising and Ad Delivery and Reporting by prohibiting any
eligibility uses of such data, including uses for credit, insurance, healthcare, and employment decisions.

The NAI has always firmly believed that data collected for advertising purposes should not have a negative effect on consumers in their daily lives. However, over the past year, novel data uses have been introduced, especially during the recent health crisis. In the case of opted-in data such as Precise Location Information, a company may determine a user would benefit from more detailed disclosure in a just-in-time notice about non-marketing uses of the data being collected….(More)”.