Citizenship: The Great Extinguisher of Hope


Book by Dimitry Kochenov: “Citizenship is a very unlikely concept to glorify: Its only purpose is to divide the world and appear unquestionable and “natural” in the face of the most obvious criticism. Its distribution around the world is entirely random and totalitarian: One is a citizen purely on the strength of having been assigned to a particular citizenship by an authority — an authority that brooks no dissent, should you claim to not belong. Your agreement is not necessary and your protests are of no avail, yet everything about you — from life expectancy to your income and basic freedoms inside and outside the assigning state the world over — is in direct correlation with this congenital assignment, in which you can neither participate nor refuse in the majority of cases.

The assignment of citizenship is entirely beyond our control and glorified as logical and “natural,” yet citizenship is not a force of nature: It is designed with certain groups and people in mind, making sure that those who are disliked or regarded as of little use by the relevant authority at any given moment and for whatever reason will surely be kept down at the time of the initial assignment or later. No protests are expected or tolerated: What is “natural” must be accepted.

This article is adapted from Dimitry Kochenov’s book “Citizenship.”

Given the radical differences in quality between different citizenships around the world — some bringing amazing rights, others merely poisonous liabilities — the randomized totalitarian assignment endows citizenship with its core function: the preservation of global inequality.

Distributed like prizes in a lottery where four-fifths of the world’s population loses, citizenship is clothed in the language of self-determination and freedom, elevating hypocrisy as one of the status’s core features. Even considering the truly minuscule proportion of the world’s population that ever changes its citizenship, the grip of citizenship on our lives is close to absolute, even if it is at times unnoticed. Citizenship’s connection to “freedom” and “self-determination” usually stops making any sense at the boundaries of the most affluent Western states. Citizenship, for most of the world’s population, is thus an empty rhetorical shell deployed to perpetuate abuse, dispossession, and exclusion. It is a means of directing former colonials to their unenviable place, spiced with a delightfully attractive hint of nationalism….(More)”.

Government Capacity, Societal Trust or Party Preferences? What Accounts for the Variety of National Policy Responses to the COVID-19 Pandemic in Europe?


Paper by Dimiter Toshkov, Kutsal Yesilkagit and Brendan Carroll: “European states responded to the rapid spread of the COVID-19 pandemic in 2020 with a variety of public policy measures. Governments across the continent acted more or less swiftly to close down schools, restrict arrival into their countries and travel within their territories, ban public meetings, impose local and national lockdowns, declare states of emergency and pass other emergency measures. Importantly, both the mix of policy tools as well as the speed with which they were enacted differed significantly even within the member states of the European Union.

In this article we ask what can account for this variation in policy responses, and we identify a number of factors related to institutions, general governance and specific health-sector related capacities, societal trust, government type, and party preferences as possible determinants. Using multivariate regression and survival analysis, we model the speed with which school closures, national lockdowns and states of emergency were announced. The models suggest a number of significant and often counterintuitive relationships: we find that more centralized countries with lower government effectiveness, freedom and societal trust, but with separate ministries of health and health ministers with medical background acted faster and more decisively. These results are important in light of the large positive effects early policy responses likely had on managing the impact of the pandemic….(More)”.

Wrongfully Accused by an Algorithm


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)“.

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


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)”.

Social Distancing and Social Capital: Why U.S. Counties Respond Differently to Covid-19


NBER Paper by Wenzhi Ding et al: Since social distancing is the primary strategy for slowing the spread of many diseases, understanding why U.S. counties respond differently to COVID-19 is critical for designing effective public policies. Using daily data from about 45 million mobile phones to measure social distancing we examine how counties responded to both local COVID-19 cases and statewide shelter-in-place orders. We find that social distancing increases more in response to cases and official orders in counties where individuals historically (1) engaged less in community activities and (2) demonstrated greater willingness to incur individual costs to contribute to social objectives. Our work highlights the importance of these two features of social capital—community engagement and individual commitment to societal institutions—in formulating public health policies….(More)”

Changing Citizen Behaviour: An Investigation on Nudge Approach in Developing Society


Paper by Dimas Budi Prasetyo: “It is widely explored that problems in developing society related to think and act logically and reflectively in a social context positively correlates with the cognition skill. In most developing societies, people are busy with problems that they face daily (i.e. working overtime), limits their cognitive capacity to properly process a social stimulus, which mostly asked their thoughtful response. Thus, a better design in social stimulus to tackle problematic behaviour, such as littering, to name a few, becomes more prominent. During the last decade, nudge has been famous for its subtle approach for behaviour change – however, there is relatively little known of the method applied in the developing society. The current article reviews the nudge approach to change human behaviour from two perspectives: cognitive science and consumer psychology. The article concludes that intervention using the nudge approach could be beneficial for current problematic behaviour…(More)”.

Panopticon Reborn: Social Credit as Regulation for the Age of AI


Paper by Kevin Werbach: “Technology scholars, policy-makers, and executives in Europe and the United States disagree violently about what the digitally connected world should look like. They agree on what it shouldn’t: the Orwellian panopticon of China’s Social Credit System (SCS). SCS is a government-led initiative to promote data-driven compliance with law and social values, using databases, analytics, blacklists, and software applications. In the West, it is widely viewed as a diabolical effort to crush any spark of resistance to the dictates of the Chinese Communist Party (CCP) and its corporate emissaries. This picture is, if not wholly incorrect, decidedly incomplete. SCS is the world’s most advanced prototype of a regime of algorithmic regulation. It is a sophisticated and comprehensive effort not only to expand algorithmic control, but also to restrain it. Understanding China’s system is crucial for resolving the great challenges we face in the emerging era of relentless data aggregation, ubiquitous analytics, and algorithmic control….(More)”.

What Nobel Laureate Elinor Ostrom’s early work tells us about defunding the police


Blog by Aaron Vansintjan: “…As she concluded in her autobiographical reflections published two years before she died in 2012, “For policing, increasing the size of governmental units consistently had a negative impact on the level of output generated as well as on efficiency of service provision… smaller police departments… consistently outperformed their better trained and better financed larger neighbors.”

But why did this happen? To explain this, Ostrom showed how, in small communities with small police forces, citizens are more active in monitoring their neighborhoods. Officers in smaller police forces also have more knowledge of the local area and better connections with the community. 

She also found that larger, more centralized police forces also have a negative effect on other public services. With a larger police bureaucracy, other local frontline professionals with less funding — social workers, mental health support centers, clinics, youth support services — have less of a say in how to respond to a community’s issues  such as drug use or domestic violence. The bigger the police department, the less citizens — especially those that are already marginalized, like migrants or Black communities — have a say in how policing should be conducted.

This finding became a crucial step in Ostrom’s groundbreaking work on how communities manage their resources sustainably without outside help — through deliberation, resolving conflict and setting clear community agreements. This is what she ended up becoming famous for, and what won her the Nobel Memorial Prize in Economic Sciences, placing her next to some of the foremost economists in the world.

But her research on policing shouldn’t be forgotten: It shows that, when it comes to safer communities, having more funding or larger services is not important. What’s important is the connections and trust between the community and the service provider….(More)”.

IRS Used Cellphone Location Data to Try to Find Suspects


Byron Tau at the Wall Street Journal: “The Internal Revenue Service attempted to identify and track potential criminal suspects by purchasing access to a commercial database that records the locations of millions of American cellphones.

The IRS Criminal Investigation unit, or IRS CI, had a subscription to access the data in 2017 and 2018, and the way it used the data was revealed last week in a briefing by IRS CI officials to Sen. Ron Wyden’s (D., Ore.) office. The briefing was described to The Wall Street Journal by an aide to the senator.

IRS CI officials told Mr. Wyden’s office that their lawyers had given verbal approval for the use of the database, which is sold by a Virginia-based government contractor called Venntel Inc. Venntel obtains anonymized location data from the marketing industry and resells it to governments. IRS CI added that it let its Venntel subscription lapse after it failed to locate any targets of interest during the year it paid for the service, according to Mr. Wyden’s aide.

Justin Cole, a spokesman for IRS CI, said it entered into a “limited contract with Venntel to test their services against the law enforcement requirements of our agency.” IRS CI pursues the most serious and flagrant violations of tax law, and it said it used the Venntel database in “significant money-laundering, cyber, drug and organized-crime cases.”

The episode demonstrates a growing law enforcement interest in reams of anonymized cellphone movement data collected by the marketing industry. Government entities can try to use the data to identify individuals—which in many cases isn’t difficult with such databases.

It also shows that data from the marketing industry can be used as an alternative to obtaining data from cellphone carriers, a process that requires a court order. Until 2018, prosecutors needed “reasonable grounds” to seek cell tower records from a carrier. In June 2018, the U.S. Supreme Court strengthened the requirement to show probable cause a crime has been committed before such data can be obtained from carriers….(More)”

Behavioral Public Performance: How People Make Sense of Government Metrics


Book by Oliver James, Asmus Leth Olsen, Donald Moynihan, and Gregg G. Van Ryzin: “A revolution in the measurement and reporting of government performance through the use of published metrics, rankings and reports has swept the globe at all levels of government. Performance metrics now inform important decisions by politicians, public managers and citizens.

However, this performance movement has neglected a second revolution in behavioral science that has revealed cognitive limitations and biases in people’s identification, perception, understanding and use of information. This Element introduces a new approach – behavioral public performance – that connects these two revolutions. Drawing especially on evidence from experiments, this approach examines the influence of characteristics of numbers, subtle framing of information, choice of benchmarks or comparisons, human motivation and information sources. These factors combine with the characteristics of information users and the political context to shape perceptions, judgment and decisions. Behavioral public performance suggests lessons to improve design and use of performance metrics in public management and democratic accountability….(More)”.