On Preferring A to B, While Also Preferring B to A


Paper by Cass R. Sunstein: “In important contexts, people prefer option A to option B when they evaluate the two separately, but prefer option B to option A when they evaluate the two jointly. In consumer behavior, politics, and law, such preference reversals present serious puzzles about rationality and behavioral biases.

They are often a product of the pervasive problem of “evaluability.” Some important characteristics of options are difficult or impossible to assess in separate evaluation, and hence choosers disregard or downplay them; those characteristics are much easier to assess in joint evaluation, where they might be decisive. But in joint evaluation, certain characteristics of options may receive excessive weight, because they do not much affect people’s actual experience or because the particular contrast between joint options distorts people’s judgments. In joint as well as separate evaluation, people are subject to manipulation, though for different reasons.

It follows that neither mode of evaluation is reliable. The appropriate approach will vary depending on the goal of the task – increasing consumer welfare, preventing discrimination, achieving optimal deterrence, or something else. Under appropriate circumstances, global evaluation would be much better, but it is often not feasible. These conclusions bear on preference reversals in law and policy, where joint evaluation is often better, but where separate evaluation might ensure that certain characteristics or features of situations do not receive excessive weight…(More)”.

Using Satellite Imagery to Revolutionize Creation of Tax Maps and Local Revenue Collection


World Bank Policy Research Paper by Daniel Ayalew Ali, Klaus Deininger and Michael Wild: “The technical complexity of ensuring that tax rolls are complete and valuations current is often perceived as a major barrier to bringing in more property tax revenues in developing countries.

This paper shows how high-resolution satellite imagery makes it possible to assess the completeness of existing tax maps by estimating built-up areas based on building heights and footprints. Together with information on sales prices from the land registry, targeted surveys, and routine statistical data, this makes it possible to use mass valuation procedures to generate tax maps. The example of Kigali illustrates the reliability of the method and the potentially far-reaching revenue impacts. Estimates show that heightened compliance and a move to a 1 percent ad valorem tax would yield a tenfold increase in revenue from public land….(More)”.

User Perceptions of Privacy in Smart Homes


Paper by Serena Zheng, Marshini Chetty, and Nick Feamster: “Despite the increasing presence of Internet of Things (IoT) devices inside the home, we know little about how users feel about their privacy living with Internet-connected devices that continuously monitor and collect data in their homes. To gain insight into this state of affairs, we conducted eleven semi-structured interviews with owners of smart homes, investigating privacy values and expectations.

In this paper, we present the findings that emerged from our study: First, users prioritize the convenience and connectedness of their smart homes, and these values dictate their privacy opinions and behaviors. Second, user opinions about who should have access to their smart home data depend on the perceived benefit. Third, users assume their privacy is protected because they trust the manufacturers of their IoT devices. Our findings bring up several implications for IoT privacy, which include the need for design for privacy and evaluation standards….(More)”.

Can Fact-checking Prevent Politicians from Lying?


Paper by Chloe Lim: “Journalists now regularly trumpet fact-checking as an important tool to hold politicians accountable for their public statements, but fact checking’s effect has only been assessed anecdotally and in experiments on politicians holding lower-level offices.

Using a rigorous research design to estimate the effects of fact-checking on presidential candidates, this paper shows that a fact-checker deeming a statement false false causes a 9.5 percentage points reduction in the probability that the candidate repeats the claim. To eliminate alternative explanations that could confound this estimate, I use two types of difference-in-differences analyses, each using true-rated claims and “checkable but unchecked” claims, a placebo test using hypothetical fact-check dates, and a topic model to condition on the topic of the candidate’s statement.

This paper contributes to the literature on how news media can hold politicians accountable, showing that when news organizations label a statement as inaccurate, they affect candidate behavior…(More)”.

Data Pollution


Paper by Omri Ben-Shahar: “Digital information is the fuel of the new economy. But like the old economy’s carbon fuel, it also pollutes. Harmful “data emissions” are leaked into the digital ecosystem, disrupting social institutions and public interests. This article develops a novel framework- data pollution-to rethink the harms the data economy creates and the way they have to be regulated. It argues that social intervention should focus on the external harms from collection and misuse of personal data. The article challenges the hegemony of the prevailing view-that the harm from digital data enterprise is to the privacy of the people whose information is used. It claims that a central problem has been largely ignored: how the information individuals give affects others, and how it undermines and degrade public goods and interests. The data pollution metaphor offers a novel perspective why existing regulatory tools-torts, contracts, and disclosure law-are ineffective, mirroring their historical futility in curbing the external social harms from environmental pollution. The data pollution framework also opens up a rich roadmap for new regulatory devices-an environmental law for dataprotection-that focus on controlling these external effects. The article examines whether the general tools society has long used to control industrial pollution-production restrictions, carbon tax, and emissions liability-could be adapted to govern data pollution….(More)”.

Livestreaming Pollution: A New Form of Public Disclosure and a Catalyst for Citizen Engagement?


NBER Working Paper by Emiliano Huet-Vaughn, Nicholas Muller, and Yen-Chia Hsu: “Most environmental policy assumes the form of standards and enforcement. Scarce public budgets motivate the use of disclosure laws. This study explores a new form of pollution disclosure: real-time visual evidence of emissions provided on a free, public website. The paper tests whether the disclosure of visual evidence of emissions affects the nature and frequency of phone calls to the local air quality regulator. First, we test whether the presence of the camera affects the frequency of calls to the local air quality regulator about the facility monitored by the camera. Second, we test the relationship between the camera being active and the number of complaints about facilities other than the plant recorded by the camera. Our empirical results suggest that the camera did not affect the frequency of calls to the regulator about the monitored facility. However, the count of complaints pertaining to another prominent industrial polluter in the area, steel manufacturing plants, is positively associated with the camera being active. We propose two behavioral reasons for this finding: the prior knowledge hypothesis and affect heuristics. This study argues that visual evidence is a feasible approach to environmental oversight even during periods with diminished regulatory capacity….(More)”.

A Rule of Persons, Not Machines: The Limits of Legal Automation


Paper by Frank A. Pasquale: “For many legal futurists, attorneys’ work is a prime target for automation. They view the legal practice of most businesses as algorithmic: data (such as facts) are transformed into outputs (agreements or litigation stances) via application of set rules. These technophiles promote substituting computer code for contracts and descriptions of facts now written by humans. They point to early successes in legal automation as proof of concept. TurboTax has helped millions of Americans file taxes, and algorithms have taken over certain aspects of stock trading. Corporate efforts to “formalize legal code” may bring new efficiencies in areas of practice characterized by both legal and factual clarity.

However, legal automation can also elide or exclude important human values, necessary improvisations, and irreducibly deliberative governance. Due process, appeals, and narratively intelligible explanation from persons, for persons, depend on forms of communication that are not reducible to software. Language is constitutive of these aspects of law. To preserve accountability and a humane legal order, these reasons must be expressed in language by a responsible person. This basic requirement for legitimacy limits legal automation in several contexts, including corporate compliance, property recordation, and contracting. A robust and ethical legal profession respects the flexibility and subtlety of legal language as a prerequisite for a just and accountable social order. It ensures a rule of persons, not machines…(More)”

Rational Inattention: A Disciplined Behavioral Model


Paper by Bartosz Mackowiak, Filip Matejka and Mirko Wiederholt: “This survey paper argues that rational inattention matters. It is likely to become an important part of Economics, because it bridges a gap between classical economics and behavioral economics. Actions look behavioral, since agents cannot process all available information; yet agents optimize in the sense that they try to deal optimally with their cognitive limitations – hence the term ”rational inattention.” We show how rational inattention describes the adaptation of agents’ behavioral biases due to policy and other changes of the economic environment. Then, we survey the existing literature, and discuss what the unifying mechanisms behind the results in these papers are. Finally, we lay out implications for policy, and propose what we believe are the most fruitful steps for future research in this area. Economics is about adjustments to scarcity.

Rational inattention studies adjustments to scarcity of attention. Understanding how people summarize, filter, and digest the abundant available information is key to understanding many phenomena in economics. Several crucial findings in economics, even some whole subfields, have been built around the assumptions of imperfect or asymmetric information. However, nowadays, many more forms of information than ever before are available due to new technologies, yet we are able to digest little of it. Which form of imperfect information we possess and act upon is thus largely not determined by which information is given to us, but by which information we choose to attend to….(More)”.

Crowdsourcing as a Platform for Digital Labor Unions


Paper by Payal Arora and Linnea Holter Thompson in the International Journal of Communication: “Global complex supply chains have made it difficult to know the realities in factories. This structure obfuscates the networks, channels, and flows of communication between employers, workers, nongovernmental organizations and other vested intermediaries, creating a lack of transparency. Factories operate far from the brands themselves, often in developing countries where labor is cheap and regulations are weak. However, the emergence of social media and mobile technology has drawn the world closer together. Specifically, crowdsourcing is being used in an innovative way to gather feedback from outsourced laborers with access to digital platforms. This article examines how crowdsourcing platforms are used for both gathering and sharing information to foster accountability. We critically assess how these tools enable dialogue between brands and factory workers, making workers part of the greater conversation. We argue that although there are challenges in designing and implementing these new monitoring systems, these platforms can pave the path for new forms of unionization and corporate social responsibility beyond just rebranding…(More)”

City Data Exchange – Lessons Learned From A Public/Private Data Collaboration


Report by the Municipality of Copenhagen: “The City Data Exchange (CDE) is the product of a collaborative project between the Municipality of Copenhagen, the Capital Region of Denmark, and Hitachi. The purpose of the project is to examine the possibilities of creating a marketplace for the exchange of data between public and private organizations.

The CDE consists of three parts:

  • A collaboration between the different partners on supply, and demand of specific data;
  • A platform for selling and purchasing data aimed at both public, and private organizations;
  • An effort to establish further experience in the field of data exchange between public, and private organizations.

In 2013, the City of Copenhagen, and the Copenhagen Region decided to invest in the creation of a marketplace for the exchange of public, and private sector data. The initial investment was meant as a seed towards a self-sustained marketplace. This was an innovative approach to test the readiness of the market to deliver new data-sharing solutions.

The CDE is the result of a tender by the Municipality of Copenhagen and the Capital Region of Denmark in 2015. Hitachi Consulting won the tender and has invested, and worked with the Municipality of Copenhagen, and the Capital Region of Denmark to establish an organization and a technical platform.

The City Data Exchange (CDE) has closed a gap in regional data infrastructure. Both public-and private sector organizations have used the CDE to gain insights into data use cases, new external data sources, GDPR issues, and to explore the value of their data. Before the CDE was launched, there were only a few options available to purchase or sell data.

The City and the Region of Copenhagen are utilizing the insights from the CDE project to improve their internal activities and to shape new policies. The lessons from the CDE also provide insights into a wider national infrastructure for effective data sharing. Based on the insights from approximately 1000 people that the CDE has been in contact with, the recommendations are:

  • Start with the use case, as it is key to engage the data community that will use the data;
  • Create a data competence hub, where the data community can meet and get support;
  • Create simple standards and guidelines for data publishing.

The following paper presents some of the key findings from our work with the CDE. It has been compiled by Smart City Insights on behalf of the partners of the City Data Exchange project…(More)”.