So Many Nudges, So Little Time: Can Cost-effectiveness Tell Us When It Is Worthwhile to Try to Change Provider Behavior?


Paper by David Atkins: “Interest in behavioral economics has grown steadily within health care. Policy makers, payers, and providers now recognize that the decisions of patients and of their doctors frequently deviate from the strictly “rational” choices that classical economic theory would predict. For example, patients rarely adhere to the medication regimens or health behaviors that would optimize their health outcomes, and clinicians often make decisions that conflict with evidence-based recommendations or even the practices they profess to endorse. The groundbreaking work of psychologist Daniel Kahneman and his collaborator Amos Tversky raised attention to this field, which was accelerated by Kahneman’s 2002 Nobel Prize in economics and his popular 2011 book “Thinking Fast and Slow” which reached a much broader audience.

Behavioral economics examines cognitive, psychological, and cultural factors that may influence how we make decisions, resulting in behavior that another Nobel laureate, economist Richard Thaler, has termed “predictably irrational.” Principles from behavioral economics have been adopted to health care, including the role of heuristics (rules of thumb), the importance of framing, and the effects of specific cognitive biases (for example, overconfidence and status quo bias).

These principles have been incorporated into interventions that seek to use these insights to change health-related behaviors—these include nudges, where systems are redesigned to make the preferred choice the default choice (for example, making generic versions the default in electronic prescribing); incentive programs that reward patients for taking their medications on schedule or getting preventive interventions like immunizations; and specific interventions aimed at how clinicians respond to information or make decisions….(More)”.

How Effective Is Nudging? A Quantitative Review on the Effect Sizes and Limits of Empirical Nudging Studies


Paper by Dennis Hummel and Alexander Maedche: “Changes in the choice architecture, so-called nudges, have been employed in a variety of contexts to alter people’s behavior. Although nudging has gained a widespread popularity, the effect sizes of its influences vary considerably across studies. In addition, nudges have proven to be ineffective or even backfire in selected studies which raises the question whether, and under which conditions, nudges are effective. Therefore, we conduct a quantitative review on nudging with 100 primary publications including 317 effect sizes from different research areas. We derive four key results. (1) A morphological box on nudging based on eight dimensions, (2) an assessment of the effectiveness of different nudging interventions, (3) a categorization of the relative importance of the application context and the nudge category, and (4) a comparison of nudging and digital nudging. Thereby, we shed light on the (in)effectiveness of nudging and we show how the findings of the past can be used for future research. Practitioners, especially government officials, can use the results to review and adjust their policy making….(More)”.

Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation


Paper by Serge Abiteboul and Julia Stoyanovich: “The data revolution continues to transform every sector of science, industry and government. Due to the incredible impact of data-driven technology on society, we are becoming increasingly aware of the imperative to use data and algorithms responsibly — in accordance with laws and ethical norms. In this article we discuss three recent regulatory frameworks: the European Union’s General Data Protection Regulation (GDPR), the New York City Automated Decisions Systems (ADS) Law, and the Net Neutrality principle, that aim to protect the rights of individuals who are impacted by data collection and analysis. These frameworks are prominent examples of a global trend: Governments are starting to recognize the need to regulate data-driven algorithmic technology. 


Our goal in this paper is to bring these regulatory frameworks to the attention of the data management community, and to underscore the technical challenges they raise and which we, as a community, are well-equipped to address. The main .take-away of this article is that legal and ethical norms cannot be incorporated into data-driven systems as an afterthought. Rather, we must think in terms of responsibility by design, viewing it as a systems requirement….(More)”

Digital Pro Bono: Leveraging Technology to Provide Access to Justice


Paper by Kathleen Elliott Vinson and Samantha A. Moppett: “…While individuals have the constitutional right to legal assistance in criminal cases, the same does not hold true for civil matters. Low-income Americans are unable to gain access to meaningful help for basic legal needs. Although legal aid organizations exist to help low-income Americans who cannot afford legal representation, the resources available are insufficient to meet current civil legal needs. Studies show more than 80 percent of the legal needs of low-income Americans go unaddressed every year. 

This article examines how law students, law schools, the legal profession, legal services’ agencies, and low-income individuals who need assistance, all have a shared interest—access to justice—and can work together to reach the elusive goal in the Pledge of Allegiance of “justice for all.” It illustrates how their collaborative leveraging of technology in innovative ways like digital pro bono services, is one way to provide access to justice. It discusses ABA Free Legal Answers Online, the program that the ABA pioneered to help confront the justice gap in the United States. The program provides a “virtual legal advice clinic” where attorneys answer civil legal questions that low-income residents post on free, secure, and confidential state-specific websites. The article provides a helpful resource of how law schools can leverage this technology to increase access to justice for low-income communities while providing pro bono opportunities for attorneys and students in their state…(More)”.

A theoretical framework explaining the mechanisms of nudging


Paper by Löfgren, Åsa & Nordblom, Katarina: “…we develop a theoretical model to clarify the underlying mechanisms that drive individual decision making and responses to behavioral interventions, such as nudges. The contribution of the paper is three-fold: First, the model provides a theoretical framework that comprehensively structures the individual decision-making process applicable to a wide range of choice situations. Second, we reduce the confusion regarding what should be called a nudge by offering a clear classification of behavioral interventions. We distinguish among what we label as pure nudges, preference nudges, and other behavioral interventions. Third, we identify the mechanisms behind the effectiveness of behavioral interventions based on the structured decision-making process. Hence, the model can be used to predict under which circumstances, and in which choice situations, a nudge is likely to be effective….(More)”

The Governance of Digital Technology, Big Data, and the Internet: New Roles and Responsibilities for Business


Introduction to Special Issue of Business and Society by Dirk Matten, Ronald Deibert & Mikkel Flyverbom: “The importance of digital technologies for social and economic developments and a growing focus on data collection and privacy concerns have made the Internet a salient and visible issue in global politics. Recent developments have increased the awareness that the current approach of governments and business to the governance of the Internet and the adjacent technological spaces raises a host of ethical issues. The significance and challenges of the digital age have been further accentuated by a string of highly exposed cases of surveillance and a growing concern about issues of privacy and the power of this new industry. This special issue explores what some have referred to as the “Internet-industrial complex”—the intersections between business, states, and other actors in the shaping, development, and governance of the Internet…(More)”.

Using street imagery and crowdsourcing internet marketplaces to measure motorcycle helmet use in Bangkok, Thailand


Hasan S. Merali, Li-Yi Lin, Qingfeng Li, and Kavi Bhalla in Injury Prevention: “The majority of Thailand’s road traffic deaths occur on motorised two-wheeled or three-wheeled vehicles. Accurately measuring helmet use is important for the evaluation of new legislation and enforcement. Current methods for estimating helmet use involve roadside observation or surveillance of police and hospital records, both of which are time-consuming and costly. Our objective was to develop a novel method of estimating motorcycle helmet use.

Using Google Maps, 3000 intersections in Bangkok were selected at random. At each intersection, hyperlinks of four images 90° apart were extracted. These 12 000 images were processed in Amazon Mechanical Turk using crowdsourcing to identify images containing motorcycles. The remaining images were sorted manually to determine helmet use.

After processing, 462 unique motorcycle drivers were analysed. The overall helmet wearing rate was 66.7 % (95% CI 62.6 % to 71.0 %). …

This novel method of estimating helmet use has produced results similar to traditional methods. Applying this technology can reduce time and monetary costs and could be used anywhere street imagery is used. Future directions include automating this process through machine learning….(More)”.

Identifying commonly used and potentially unsafe transit transfers with crowdsourcing


Paper by Elizabeth J.Traut and Aaron Steinfeld: “Public transit is an important contributor to sustainable transportation as well as a public service that makes necessary travel possible for many. Poor transit transfers can lead to both a real and perceived reduction in convenience and safety, especially for people with disabilities. Poor transfers can expose riders to inclement weather and crime, and they can reduce transit ridership by motivating riders who have the option of driving or using paratransit to elect a more expensive and inefficient travel mode. Unfortunately, knowledge about inconvenient, missed, and unsafe transit transfers is sparse and incomplete.

We show that crowdsourced public transit ridership data, which is more scalable than conducting traditional surveys, can be used to analyze transit transfers. The Tiramisu Transit app merges open transit data with information contributed by users about which trips they take. We use Tiramisu data to do origin-destination analysis and identify connecting trips to create a better understanding of where and when poor transfers are occurring in the Pittsburgh region. We merge the results with data from other open public data sources, including crime data, to create a data resource that can be used for planning and identification of locations where bus shelters and other infrastructure improvements may facilitate safer and more comfortable waits and more accessible transfers. We use generalizable methods to ensure broader value to both science and practitioners.

We present a case study of the Pittsburgh region, in which we identified and characterized 338 transfers from 142 users. We found that 66.6% of transfers were within 0.4 km (0.25 mi.) and 44.1% of transfers were less than 10 min. We identified the geographical distribution of transfers and found several highly-utilized transfer locations that were not identified by the Port Authority of Allegheny County as recommended transfer points, and so might need more planning attention. We cross-referenced transfer location and wait time data with crime levels to provide additional planning insight….(More)”.

Circular City Data


First Volume of Circular City, A Research Journal by New Lab edited by André Corrêa d’Almeida: “…Circular City Data is the topic being explored in the first iteration of New Lab’s The Circular City program, which looks at data and knowledge as the energy, flow, and medium of collaboration. Circular data refers to the collection, production, and exchange of data, and business insights, between a series of collaborators around a shared set of inquiries. In some scenarios, data may be produced by start-ups and of high value to the city; in other cases, data may be produced by the city and of potential value to the public, start-ups, or enterprise companies. The conditions that need to be in place to safely, ethically, and efficiently extrapolate the highest potential value from data are what this program aims to uncover.

Similar to living systems, urban systems can be enhanced if the total pool of data available, i.e., energy, can be democratized and decentralized and data analytics used widely to positively impact quality of life. The abundance of data available, the vast differences in capacity across organizations to handle it, and the growing complexity of urban challenges provides an opportunity to test how principles of circular city data can help establish new forms of public and private partnerships that make cities more economically prosperous, livable, and resilient. Though we talk of an overabundance of data, it is often still not visible or tactically wielded at the local level in a way that benefits people.

Circular City Data is an effort to build a safe environment whereby start-ups, city agencies, and larger firms can collect, produce, access and exchange data, as well as business insights, through transaction mechanisms that do not necessarily require currency, i.e., through reciprocity. Circular data is data that travels across a number of stakeholders, helping to deliver insights and make clearer the opportunities where such stakeholders can work together to improve outcomes. It includes cases where a set of “circular” relationships need to be in place in order to produce such data and business insights. For example, if an AI company lacks access to raw data from the city, they won’t be able to provide valuable insights to the city. Or, Numina required an established relationship with the DBP in order to access infrastructure necessary for them to install their product and begin generating data that could be shared back with them. ***

Next, the case study documents and explains how The Circular City program was conceived, designed, and implemented, with the goal of offering lessons for scalability at New Lab and replicability in other cities around the world. The three papers that follow investigate and methodologically test the value of circular data applied to three different, but related, urban challenges: economic growth, mobility, and resilience. At the end, the conclusion offers a meta-analysis of the value of circular city data for the future of cities and presents, integrated, the tools developed in each paper that can be used for implementation and scaling-up of a circular city program…(More).

Contents

  • Introduction to The Circular City Research Program (André Corrêa d’Almeida)
  • The Circular City Program: The Case Study (André Corrêa d’Almeida and Caroline McHeffey)  
  • Circular Data for a Circular City: Value Propositions for Economic Development (Stefaan G. Verhulst, Andrew Young, and Andrew J. Zahuranec)  
  • Circular Data for a Circular City: Value Propositions for Mobility (Arnaud Sahuguet)
  • Circular Data for a Circular City: Value Propositions for Resilience and Sustainability (Nilda Mesa)
  • Conclusio (André Corrêa d’Almeida)


The role of information and communications technology in the transformation of government and citizen trust


Mohamed Mahmood et al in the International Review of Administrative Sciences: “We present an empirically tested conceptual model based on exit–voice theory to study the influence of information and communications technology-enabled transformation of government on citizen trust in government. We conceptualize and address the key factors affecting the influence of transformation of government on citizen trust, including government performance and transparency. Based on 313 survey responses from citizens in Bahrain, the top-ranked country in information and communications technology adoption in the Gulf Cooperation Council region, we test government performance and transparency as mediators between transformation of government and citizen trust. The resulting preliminary insights on the measurement and manifestation of citizen trust in the context of information and communications technology-enabled transformation of government have multiple policy implications and extend our understanding of how information and communications technology-enabled transformation of government can improve the government–citizen relationship and digital services adoption….(More)”.