Privacy As/And Civil Rights

Curated on Posted on by Stefaan Verhulst

Paper by Tiffany C. Li: “Decades have passed since the modern American civil rights movement began, but the fight for equality is far from over. Systemic racism, sexism, and discrimination against many marginalized groups is still rampant in our society. Tensions rose to a fever pitch in 2020, with a summer of Black Lives Matters protests, sparked by the police killing of George Floyd, leading in to an attempted armed insurrection and attack on the U.S. Capitol on January 6, 2021. Asian-Americans faced rising rates of racism and hate crimes , spurred in part by inflammatory statements from the then-sitting President of the United States. Members of the LGBT community faced attacks on their civil rights during the Trump administration, including a rolling back of protections awarded to transgender individuals.

At the same time, the world faced a deadly pandemic that exposed the inequalities tearing the fabric of our society. The battle for civil rights is clearly not over, and the nation and the world have faced setbacks in the fight for equality, brought out by the pandemic, political pressures, and other factors. Meanwhile, the role of technology is also changing, with new technologies like facial recognition, artificial intelligence, and connected devices, offering new threats and perhaps new hope for civil rights. To understand privacy at our current point in time, we must consider the role of privacy in civil rights—and even, as scholars like Alvaro Bedoya have suggested, privacy itself as a civil right.

This Article is an attempt to expand upon the work of privacy and civil rights scholars in conceptualizing privacy as a civil right and situating this concept within the broader field of privacy studies. This Article builds on the work of scholars who have analyzed critical dimensions of privacy and privacy law, and who have advocated for changes in privacy law that can move our society forward to protect privacy and equality for all…(More)”.

Letters and cards telling people about local police reduce crime

Curated on Posted on by Stefaan Verhulst

Article by Elicia John & Shawn D. Bushway: “Community policing is often held up as an instrumental part of reforms to make policing less harmful, particularly in low-income communities that have high rates of violence. But building collaborative relationships between communities and police is hard. Writing in Nature, Shah and LaForest describe a large field experiment revealing that giving residents cards and letters with basic information about local police officers can prevent crime. Combining these results with those from Internet-based experiments, the authors attribute the observed reduction in crime to perceived ‘information symmetry’.

Known strangers are individuals whom we’ve never met but still know something about, such as celebrities. We tend to assume, erroneously, that known strangers know as much about us as we do about them. This tendency to see information symmetry when there is none is referred to as a social heuristic — a shortcut in our mental processing…

Collaborating with the New York Police Department, the authors sent letters and cards to residents of 39 public-housing developments, providing information about the developments’ local community police officers, called neighbourhood coordination officers. These flyers included personal details, such as the officers’ favourite food, sports team or superhero. Thirty control developments had neighbourhood coordination officers, but did not receive flyers….

This field experiment provided convincing evidence that a simple intervention can reduce crime. Indeed, in the three months after the intervention, the researchers observed a 5–7% drop in crime in the developments that received the information compared with neighbourhoods that did not. This level of reduction is similar to that of more-aggressive policing policies4. The drop in crime lessened after three months, which the authors suggest is due to the light touch and limited duration of the intervention. Interventions designed to keep officers’ information at the top of residents’ minds (such as flyers sent over a longer period at a greater frequency) might therefore result in longer-term effects.

The authors attribute the reduction in crime to a heightened perception among residents receiving flyers that the officer would find out if they committed a crime. The possibilities of such findings are potentially exciting, because the work implies that a police officer who is perceived as a real person can prevent crime without tactics such as the New York City police department’s ‘stop, question and frisk’ policy, which tended to create animosity between community members and the police….(More)”

Where Do My Tax Dollars Go? Tax Morale Effects of Perceived Government Spending

Curated on Posted on by Stefaan Verhulst

Paper by Matias Giaccobasso, Brad C. Nathan, Ricardo Perez-Truglia & Alejandro Zentner: “Do perceptions about how the government spends tax dollars affect the willingness to pay taxes? We designed a field experiment to test this hypothesis in a natural, high-stakes context and via revealed preferences. We measure perceptions about the share of property tax revenues that fund public schools and the share of property taxes that are redistributed to disadvantaged districts. We find that even though information on where tax dollars go is publicly available and easily accessible, taxpayers still have significant misperceptions. We use an information-provision experiment to induce exogenous shocks to these perceptions. Using administrative data on tax appeals, we measure the causal effect of perceived government spending on the willingness to pay taxes. We find that some perceptions about government spending have a significant effect on the probability of filing a tax appeal and in a manner that is consistent with the classical theory of benefit-based taxation. We discuss implications for researchers and policy makers…(More)”.

On the Dynamics of Human Behavior: The Past, Present, and Future of Culture, Conflict, and Cooperation

Curated on Posted on by Stefaan Verhulst

Paper by Nathan Nunn: “I provide a theoretically-guided discussion of the dynamics of human behavior, focusing on the importance of culture (socially-learned information) and tradition (transmission of culture across generations). Decision-making that relies on tradition can be an effective strategy and arises in equilibrium. While dynamically optimal, it generates static `mismatch.’ When the world changes, since traits evolve slowly, they may not be beneficial in their new environment. I discuss how mismatch helps explain the world around us, presents special challenges and opportunities for policy, and provides important lessons for our future as a human species…(More)”.

A participatory approach for empowering community engagement in data governance: The Monash Net Zero Precinct

Curated on Posted on by Stefaan Verhulst

Paper by Darren Sharp et al: “Data governance is an emerging field of study concerned with how a range of actors can successfully manage data assets according to rules of engagement, decision rights, and accountabilities. Urban studies scholarship has continued to demonstrate and criticize lack of community engagement in smart city development and urban data governance projects, including in local sustainability initiatives. However, few move beyond critique to unpack in more detail what community engagement should look like. To overcome this gap, we develop and test a participatory methodology to identify approaches to empowering community engagement in data governance in the context of the Monash Net Zero Precinct in Melbourne, Australia. Our approach uses design for social innovation to enable a small group of “precinct citizens” to co-design prototypes and multicriteria mapping as a participatory appraisal method to open up and reveal a diversity of perspectives and uncertainties on data governance approaches. The findings reveal the importance of creating deliberative spaces for pluralising community engagement in data governance that consider the diverse values and interests of precinct citizens. This research points toward new ways to conceptualize and design enabling processes of community engagement in data governance and reflects on implementation strategies attuned to the politics of participation to support the embedding of these innovations within specific socio-institutional contexts….(More)”.

Privacy and/or Trade

Curated on Posted on by Stefaan Verhulst

Paper by Anupam Chander and Paul M. Schwartz: “International privacy and trade law developed together, but now are engaged in significant conflict. Current efforts to reconcile the two are likely to fail, and the result for globalization favors the largest international companies able to navigate the regulatory thicket. In a landmark finding, this Article shows that more than sixty countries outside the European Union are now evaluating whether foreign countries have privacy laws that are adequate to receive personal data. This core test for deciding on the permissibility of global data exchanges is currently applied in a nonuniform fashion with ominous results for the data flows that power trade today.

The promise of a global internet, with access for all, including companies from the Global South, is increasingly remote. This Article uncovers the forgotten and fateful history of the international regulation of privacy and trade that led to our current crisis and evaluates possible solutions to the current conflict. It proposes a Global Agreement on Privacy enforced within the trade order, but with external data privacy experts developing the treaty’s substantive norms….(More)”.

The World Uncertainty Index

Curated on Posted on by Stefaan Verhulst

Paper by Hites Ahir, Nicholas Bloom & Davide Furceri: “We construct the World Uncertainty Index (WUI) for an unbalanced panel of 143 individual countries on a quarterly basis from 1952. This is the frequency of the word “uncertainty” in the quarterly Economist Intelligence Unit country reports. Globally, the Index spikes around major events like the Gulf War, the Euro debt crisis, the Brexit vote and the COVID pandemic. The level of uncertainty is higher in developing countries but is more synchronized across advanced economies with their tighter trade and financial linkages. In a panel vector autoregressive setting we find that innovations in the WUI foreshadow significant declines in output. This effect is larger and more persistent in countries with lower institutional quality, and in sectors with greater financial constraints…(More)”.

Algorithm vs. Algorithm

Curated on Posted on by Stefaan Verhulst

Paper by Cary Coglianese and Alicia Lai: “Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent.

On an individual level, human decision-making suffers from memory limitations, fatigue, cognitive biases, and racial prejudices, among other problems. On an organizational level, humans succumb to groupthink and free-riding, along with other collective dysfunctionalities. As a result, human decisions will in some cases prove far more problematic than their digital counterparts. Digital algorithms, such as machine learning, can improve governmental performance by facilitating outcomes that are more accurate, timely, and consistent. Still, when deciding whether to deploy digital algorithms to perform tasks currently completed by humans, public officials should proceed with care on a case-by-case basis. They should consider both whether a particular use would satisfy the basic preconditions for successful machine learning and whether it would in fact lead to demonstrable improvements over the status quo. The question about the future of public administration is not whether digital algorithms are perfect. Rather, it is a question about what will work better: human algorithms or digital ones….(More)”.

The committeefication of collective action in Africa

Curated on Posted on by Stefaan Verhulst

Paper by Caroline Archambault and David Ehrhardt: “Over the last century, Africa has witnessed considerable committeefication, a process by which committees have become increasingly important to organise collective action. Throughout the continent, committees have come to preside over everything from natural resource management to cultural life, and from peacebuilding to community consultation. What has been the impact of this dramatic institutional change on the nature and quality of collective action? Drawing on decades of anthropological research and development work in East Africa – studying, working with and working in committees of various kinds – this article presents an approach to addressing this question.

We show how committees have surface features as well as deep functions, and that the impact of committeefication depends not only on their features and functions but also on the pathways through which they proliferate. On the surface, committees aim for inclusive and deliberative decision making, even if they vary in the specifics of their missions, membership, decision-making rules, and level of autonomy. But their deep functions can be quite different: a façade for accessing recognition or resources; a classroom for learning leadership skills; or a club for elites to pursue their shared interests. The impact of these features and functions depends on the pathways through which they grow: autonomous from existing forms of collective action; in synergistic cooperation; or in competition, possibly weakening or even destroying existing local institutions.

Community-based development interventions often rely heavily on committeefied collective action. This paper identifies the benefits that this strategy can have, but also shows its potential to weaken or even destroy existing forms of collective action. On that basis, we suggest that it is imperative to turn more systematic analytical attention to committees, and assess the extent to which they are delivering development or crippling collective action in the guise of democracy and deliberation…(More)”.

Shared Measures: Collective Performance Data Use in Collaborations

Curated on Posted on by Stefaan Verhulst

Paper by Alexander Kroll: “Traditionally, performance metrics and data have been used to hold organizations accountable. But public service provision is not merely hierarchical anymore. Increasingly, we see partnerships among government agencies, private or nonprofit organizations, and civil society groups. Such collaborations may also use goals, measures, and data to manage group efforts, however, the application of performance practices here will likely follow a different logic. This Element introduces the concepts of “shared measures” and “collective data use” to add collaborative, relational elements to existing performance management theory. It draws on a case study of collaboratives in North Carolina that were established to develop community responses to the opioid epidemic. To explain the use of shared performance measures and data within these collaboratives, this Element studies the role of factors such as group composition, participatory structures, social relationships, distributed leadership, group culture, and value congruence…(More)”.