See Plastic in a National Park? Log It on This Website for Science


Article by Angely Mercado: “You’re hiking through glorious nature when you see it—a dirty, squished plastic water bottle along the trail. Instead of picking it up and impotently cursing the litterer, you can now take another small helpful step—you can report the trash to a new data project that aims to inspire policy change. Environmental nonprofit 5 Gyres is asking national park visitors in the U.S. to log trash they see through a new site called TrashBlitz.

The organization, which is dedicated to reducing plastic pollution, created TrashBlitz to gather data on how much, and what kind, of plastic and other litter is clogging our parks. They want to encourage realistic plastic pollution reduction plans for all 63 national parks.

Once registered on the TrashBlitz website, park visitors can specify the types of trash that they’ve spotted, such as if the discarded item was used for food packaging. According to 5 Gyres, the data will contribute to a report to be published this fall on the top items discarded, the materials, and the brands that have created the most waste across national parks…(More)”.

The People Versus The Algorithm: Stakeholders and AI Accountability


Paper by Jbid Arsenyan and Julia Roloff: “As artificial intelligence (AI) applications are used for a wide range of tasks, the question about who is responsible for detecting and remediating problems caused by AI applications remains disputed. We argue that responsibility attributions proposed by management scholars fail to enable a practical solution as two aspects are overlooked: the difficulty to design a complex algorithm that does not produce adverse outcomes, and the conflict of interest inherited in some AI applications by design as proprietors and users employ the application for different purposes. In this conceptual paper, we argue that effective accountability can only be delivered through solutions that enable stakeholders to employ their collective intelligence effectively in compiling problem reports and analyze problem patterns. This allows stakeholders, including governments, to hold providers of AI applications accountable, and ensure that appropriate corrections are carried out in a timely manner…(More)”.

Democracy Disrupted: Governance in an Increasingly Virtual and Massively Distributed World


Essay by Eric B. Schnurer: “It is hard not to think that the world has come to a critical juncture, a point of possibly catastrophic collapse. Multiple simultaneous crises—many of epic proportions—raise doubts that liberal democracies can govern their way through them. In fact, it is vanishingly rare to hear anyone say otherwise.

While thirty years ago, scholars, pundits, and political leaders were confidently proclaiming the end of history, few now deny that it has returned—if it ever ended. And it has done so at a time of not just geopolitical and economic dislocations but also historic technological dislocations. To say that this poses a challenge to liberal democratic governance is an understatement. As history shows, the threat of chaos, uncertainty, weakness, and indeed ungovernability always favors the authoritarian, the man on horseback who promises stability, order, clarity—and through them, strength and greatness.

How, then, did we come to this disruptive return? Explanations abound, from the collapse of industrial economies and the post–Cold War order to the racist, nativist, and ultranationalist backlash these have produced; from the accompanying widespread revolt against institutions, elites, and other sources of authority to the social media business models and algorithms that exploit and exacerbate anger and division; from sophisticated methods of information warfare intended specifically to undercut confidence in truth or facts to the rise of authoritarian personalities in virtually every major country, all skilled in exploiting these developments. These are all perfectly good explanations. Indeed, they are interconnected and collectively help to explain our current state. But as Occam’s razor tells us, the simplest explanation is often the best. And there is a far simpler explanation for why we find ourselves in this precarious state: The widespread breakdowns and failures of governance and authority we are experiencing are driven by, and largely explicable by, underlying changes in technology.

We are in fact living through technological change on the scale of the Agricultural or Industrial Revolution, but it is occurring in only a fraction of the time. What we are experiencing today—the breakdown of all existing authority, primarily but not exclusively governmental—is if not a predictable result, at least an unsurprising one. All of these other features are just the localized spikes on the longer sine wave of history…(More)”.

Mobile Big Data for Cities: Urban climate resilience strategies for low- and middle-income countries


GSMA Report: “Cities in low- and middle-income countries (LMICs) are increasingly vulnerable to the impacts of climate change, including rising sea levels and storm surges, heat stress, extreme precipitation, inland and coastal flooding and landslides. The physical effects of climate change have disrupted supply chains, led to lost productivity from health issues and incurred costs associated with rebuilding or repairing physical assets, such as buildings and transport infrastructure.

Resulting from the adverse effects of climate change, municipal governments and systems often lack the adaptive capacity or resources to keep up. Hence, the adaptative capacity of cities can be enhanced by corresponding to more comprehensive and real-time data. Such data will give municipal agencies the ability to watch events as they unfold, understand how demand patterns are changing and respond with faster and lower-cost solutions. This provides a solid basis for innovative data sources, such as mobile big data (MBD), to help strengthen urban climate resilience.

This study highlights the potential value of using mobile big data (MBD) in preparing for and responding to climate-related disasters in cities. In line with the “3As” of urban climate resilience, a framework adopted by the GSMA Mobile for Development programme, this study examines how MBD could help cities and their populations adapt to multiple long-term challenges brought about by climate change, anticipate climate hazards or events and/or absorb (face, manage and recover from) adverse conditions, emergencies or disasters…(More)”.

What Might Hannah Arendt Make of Big Data?: On Thinking, Natality, and Narrative with Big Data


Paper by Daniel Brennan: “…considers the phenomenon of Big Data through the work of Hannah Arendt on technology and on thinking. By exploring the nuance to Arendt’s critique of technology, and its relation to the social and political spheres of human activity, the paper presents a case for considering the richness of Arendt’s thought for approaching moral questions of Big Data. The paper argues that the nuances of Arendt’s writing contribute a sceptical, yet also hopeful lens to the moral potential of Big Data. The scepticism is due to the potential of big data to reduce humans to a calculable, and thus manipulatable entity. Such warnings are rife throughout Arendt’s oeuvre. The hope is found in the unique way that Arendt conceives of thinking, as having a conversation with oneself, unencumbered by ideological, or fixed accounts of how things are, in a manner which challenges preconceived notions of the self and world. If thinking can be aided by Big Data, then there is hope for Big Data to contribute to the project of natality that characterises Arendt’s understanding of social progress. Ultimately, the paper contends that Arendt’s definition of what constitutes thinking is the mediator to make sense of the morally ambivalence surrounding Big Data. By focussing on Arendt’s account of the moral value of thinking, the paper provides an evaluative framework for interrogating uses of Big Data…(More)”.

The Secret Language of Maps


Book by Carissa Carter: “Maps aren’t just geographic, they are also infographic and include all types of frameworks and diagrams. Any figure that sorts data visually and presents it spatially is a map. Maps are ways of organizing information and figuring out what’s important. Even stories can be mapped! The Secret Language of Maps provides a simple framework to deconstruct existing maps and then shows you how to create your own.

An embedded mystery story about a woman who investigates the disappearance of an old high school friend illustrates how to use different maps to make sense of all types of information. Colorful illustrations bring the story to life and demonstrate how the fictional character’s collection of data, properly organized and “mapped,” leads her to solve the mystery of her friend’s disappearance.

You’ll learn how to gather data, organize it, and present it to an audience. You’ll also learn how to view the many maps that swirl around our daily lives with a critical eye, aware of the forces that are in play for every creator…(More)”.

Legislating Data Loyalty


Paper by Woodrow Hartzog and NNeil M. Richards: “eil M. RichardsLawmakers looking to embolden privacy law have begun to consider imposing duties of loyalty on organizations trusted with people’s data and online experiences. The idea behind loyalty is simple: organizations should not process data or design technologies that conflict with the best interests of trusting parties. But the logistics and implementation of data loyalty need to be developed if the concept is going to be capable of moving privacy law beyond its “notice and consent” roots to confront people’s vulnerabilities in their relationship with powerful data collectors.

In this short Essay, we propose a model for legislating data loyalty. Our model takes advantage of loyalty’s strengths—it is well-established in our law, it is flexible, and it can accommodate conflicting values. Our Essay also explains how data loyalty can embolden our existing data privacy rules, address emergent dangers, solve privacy’s problems around consent and harm, and establish an antibetrayal ethos as America’s privacy identity.

We propose that lawmakers use a two-step process to (1) articulate a primary, general duty of loyalty, then (2) articulate “subsidiary” duties that are more specific and sensitive to context. Subsidiary duties regarding collection, personalization, gatekeeping, persuasion, and mediation would target the most opportunistic contexts for self-dealing and result in flexible open-ended duties combined with highly specific rules. In this way, a duty of data loyalty is not just appealing in theory—it can be effectively implemented in practice just like the other duties of loyalty our law has recognized for hundreds of years. Loyalty is thus not only flexible, but it is capable of breathing life into America’s historically tepid privacy frameworks…(More)”.

How Three False Starts Stifle Open Social Science


Article by Patrick Dunleavy: “Open social science is new, and like any beginner is still finding its way. However, to a large extent we are still operating in the shadow of open science (OS) in the Science, technology, engineering, mathematics, and medicine, or STEMM, disciplines. Nearly a decade ago an influential Royal Society report argued:

‘Open science is often effective in stimulating scientific discovery, [and] it may also help to deter, detect and stamp out bad science. Openness facilitates a systemic integrity that is conducive to early identification of error, malpractice and fraud, and therefore deters them. But this kind of transparency only works when openness meets standards of intelligibility and assessability – where there is intelligent openness’.

More recently, the Turing Way project defined open science far more broadly as a range of measures encouraging reproducibility, replication, robustness, and the generalisability of research. Alongside CIVICA researchers we have put forward an agenda for progressing open social science in line with these ambitions. Yet for open social science to take root it must develop an ‘intelligent’ concept of openness, one that is adapted to the wide range of concerns that our discipline group addresses, and is appropriate for the sharply varying conditions in which social research must be carried out.

This task has been made more difficult by a number of premature and partial efforts to ‘graft’ an ‘open science’ concept from STEMM disciplines onto the social sciences. Three false starts have already been made and have created misconceptions about open social science. Below, I want to show how each of the strategies may actually work to obstruct the wider development of open social science.

Bricolage – Reading across directly from STEMM

This approach sees open social science as just about picking up (not quite at random) the best-known or most discussed individual components of open science in STEMM disciplines  – focusing on specific things like open access publishing, the FAIR principles for data management, replication studies, or the pre-registration of hypotheses…(More)”.

Efficient and stable data-sharing in a public transit oligopoly as a coopetitive game


Paper by Qi Liu and Joseph Y.J. Chow: “In this study, various forms of data sharing are axiomatized. A new way of studying coopetition, especially data-sharing coopetition, is proposed. The problem of the Bayesian game with signal dependence on actions is observed; and a method to handle such dependence is proposed. We focus on fixed-route transit service markets. A discrete model is first presented to analyze the data-sharing coopetition of an oligopolistic transit market when an externality effect exists. Given a fixed data sharing structure, a Bayesian game is used to capture the competition under uncertainty while a coalition formation model is used to determine the stable data-sharing decisions. A new method of composite coalition is proposed to study efficient markets. An alternative continuous model is proposed to handle large networks using simulation. We apply these models to various types of networks. Test results show that perfect information may lead to perfect selfishness. Sharing more data does not necessarily improve transit service for all groups, at least if transit operators remain non-cooperative. Service complementarity does not necessarily guarantee a grand data-sharing coalition. These results can provide insights on policy-making, like whether city authorities should enforce compulsory data-sharing along with cooperation between operators or setup a voluntary data-sharing platform…(More)”.

Responsible Data for Children Goes Polyglot: New Translations of Principles & Resources Available


Responsible Data for Children Blog: “In 2018, UNICEF and The GovLab launched the Responsible Data for Children (RD4C) initiative with the aim of supporting organisations and practitioners in ensuring that the interest of children is put at the centre of any work involving data for and about them.

Since its inception, the RD4C initiative has aimed to be field-oriented, driven by the needs of both children and practitioners across sectors and contexts. It has done so by ensuring that actors from the data responsibility sphere are informed and engaged on the RD4C work.

We want them to know what responsible data for and about children entails, why it is important, and how they can realize it in their own work.

In this spirit, the RD4C initiative has started translating its resources into different languages. We would like anyone willing to enhance their responsible data handling practices for and about children to be equipped with resources they can understand. As a global effort, we want to guarantee anyone willing to share their expertise and contribute be given the opportunity to do it.

Importantly, we would like children around the world—including the most marginalised and vulnerable groups—to be aware of what they can expect from organisations handling data for and about them and to have the means to demand and enforce their rights.

Last month, we released the RD4C Video, which is now available in ArabicFrench and Spanish. Soon, the rest of the RD4C resources, such as our principlestools and case studies will be translated as well.”