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)”

PayStats helps assess the impact of the low-emission area Madrid Central


BBVA API Market: “How do town-planning decisions affect a city’s routines? How can data help assess and make decisions? The granularity and detailed information offered by PayStats allowed Madrid’s city council to draw a more accurate map of consumer behavior and gain an objective measurement of the impact of the traffic restriction measures on commercial activity.

In this case, 20 million aggregate and anonymized transactions with BBVA cards and any other card at BBVA POS terminals were analyzed to study the effect of the changes made by Madrid’s city council to road access to the city center.

The BBVA PayStats API is targeted at all kinds of organizations including the public sector, as in this case. Madrid’s city council used it to find out how restricting car access to Madrid Central impacted Christmas shopping. From information gathered between December 1 2018 and January 7 2019, a comparison was made between data from the last two Christmases as well as the increased revenue in Madrid Central (Gran Vía and five subareas) vs. the increase in the entire city.

According to the report drawn up by council experts, 5.984 billion euros were spent across the city. The sample shows a 3.3% increase in spending in Madrid when compared to the same time the previous year; this goes up to 9.5% in Gran Vía and reaches 8.6% in the central area….(More)”.

How data collected from mobile phones can help electricity planning


Article by Eduardo Alejandro Martínez Ceseña, Joseph Mutale, Mathaios Panteli, and Pierluigi Mancarella in The Conversation: “Access to reliable and affordable electricity brings many benefits. It supports the growth of small businesses, allows students to study at night and protects health by offering an alternative cooking fuel to coal or wood.

Great efforts have been made to increase electrification in Africa, but rates remain low. In sub-Saharan Africa only 42% of urban areas have access to electricity, just 22% in rural areas.

This is mainly because there’s not enough sustained investment in electricity infrastructure, many systems can’t reliably support energy consumption or the price of electricity is too high.

Innovation is often seen as the way forward. For instance, cheaper and cleaner technologies, like solar storage systems deployed through mini grids, can offer a more affordable and reliable option. But, on their own, these solutions aren’t enough.

To design the best systems, planners must know where on- or off-grid systems should be placed, how big they need to be and what type of energy should be used for the most effective impact.

The problem is reliable data – like village size and energy demand – needed for rural energy planning is scarce or non-existent. Some can be estimated from records of human activities – like farming or access to schools and hospitals – which can show energy needs. But many developing countries have to rely on human activity data from incomplete and poorly maintained national census. This leads to inefficient planning.

In our research we found that data from mobile phones offer a solution. They provide a new source of information about what people are doing and where they’re located.

In sub-Saharan Africa, there are more people with mobile phones than access to electricity, as people are willing to commute to get a signal and/or charge their phones.

This means that there’s an abundance of data – that’s constantly updated and available even in areas that haven’t been electrified – that could be used to optimise electrification planning….

We were able to use mobile data to develop a countrywide electrification strategy for Senegal. Although Senegal has one of the highest access to electricity rates in sub-Saharan Africa, just 38% of people in rural areas have access.

By using mobile data we were able to identify the approximate size of rural villages and access to education and health facilities. This information was then used to size and cost different electrification options and select the most economic one for each zone – whether villages should be connected to the grids, or where off-grid systems – like solar battery systems – were a better option.

To collect the data we randomly selected mobile phone data from 450,000 users from Senegal’s main telecomms provider, Sonatel, to understand exactly how information from mobile phones could be used. This includes the location of user and the characteristics of the place they live….(More)”

Data Trusts as an AI Governance Mechanism


Paper by Chris Reed and Irene YH Ng: “This paper is a response to the Singapore Personal Data Protection Commission consultation on a draft AI Governance Framework. It analyses the five data trust models proposed by the UK Open Data Institute and identifies that only the contractual and corporate models are likely to be legally suitable for achieving the aims of a data trust.

The paper further explains how data trusts might be used as in the governance of AI, and investigates the barriers which Singapore’s data protection law presents to the use of data trusts and how those barriers might be overcome. Its conclusion is that a mixed contractual/corporate model, with an element of regulatory oversight and audit to ensure consumer confidence that data is being used appropriately, could produce a useful AI governance tool…(More)”.

Visualizing where rich and poor people really cross paths—or don’t


Ben Paynter at Fast Company: “…It’s an idea that’s hard to visualize unless you can see it on a map. So MIT Media Lab collaborated with the location intelligence firm Cuebiqto build one. The result is called the Atlas of Inequality and harvests the anonymized location data from 150,000 people who opted in to Cuebiq’s Data For Good Initiative to track their movement for scientific research purposes. After isolating the general area (based on downtime) where each subject lived, MIT Media Lab could estimate what income bracket they occupied. The group then used data from a six-month period between late 2016 and early 2017 to figure out where these people traveled, and how their paths overlapped.

[Screenshot: Atlas of Inequality]

The result is an interactive view of just how filtered, sheltered, or sequestered many people’s lives really are. That’s an important thing to be reminded of at a time when the U.S. feels increasingly ideologically and economically divided. “Economic inequality isn’t just limited to neighborhoods, it’s part of the places you visit every day,” the researchers say in a mission statement about the Atlas….(More)”.

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again


Book by Eric Topol: “Medicine has become inhuman, to disastrous effect. The doctor-patient relationship–the heart of medicine–is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved….(More)”.

Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems


Introduction by A.F. Winfield, K. Michael, J. Pitt, V. Evers of Special Issue of Proceedings of the IEEE: “…The primary focus of this special issue is machine ethics, that is the question of how autonomous systems can be imbued with ethical values. Ethical autonomous systems are needed because, inevitably, near future systems are moral agents; consider driverless cars, or medical diagnosis AIs, both of which will need to make choices with ethical consequences. This special issue includes papers that describe both implicit ethical agents, that is machines designed to avoid unethical outcomes, and explicit ethical agents: machines which either encode or learn ethics and determine actions based on those ethics. Of course ethical machines are socio-technical systems thus, as a secondary focus, this issue includes papers that explore the societal and regulatory implications of machine ethics, including the question of ethical governance. Ethical governance is needed in order to develop standards and processes that allow us to transparently and robustly assure the safety of ethical autonomous systems and hence build public trust and confidence….(More)?

Some notes on smart cities and the corporatization of urban governance


Presentation by Constance Carr and Markus Hesse: “We want to address a discrepancy; that is, the discrepancy between processes and practices of technological development on one hand and/or production processes of urban change and urban problems on the other. There’s a gap here, that we can illustrate with the case of the so called“Google City”.

The scholarly literature on digital cities is quite clear that there are externalities, uncertainties and risks associated with the hype around, and the rash introduction of, ‘smartness’. To us, an old saying comes to mind: Don’t put the wagon before the horse.

Obviously, digitization and technology have revolutionized geography in many ways. And, this is nothing new. Roughly twenty years ago, with the rise of the Internet, some, such as MIT’s Bill Mitchell (1995), speculated that it and other ITs would eradicate space into the ‘City of Bits’. However, even back then statements like these didn’t go uncriticised by those who pointed at the inherent technological determinism and exposed that there is a complex relationship between urban development, urban planning, and technological innovation; that the relationship was neither new, nor trivial such that tech, itself, would automatically and necessarily be productive, beneficial, and central to cities.

What has changed is the proliferation of digital technologies and their applications. We agree with Ash et al. (2016) that geography has experienced a ‘digital turn’ where urban geography now produced by, through and of digitization. And, while digitalization of urbanity has provided benefits, it has also come sidelong a number of unsolved problems.

First, behind the production of big data, algorithms, and digital design, there are certain epistemologies – ways of knowing. Data is not value-free. Rather, data is an end product of political and associated methods of framing that structure the production of data. So, now that we “live in a present characterized by a […] diverse array of spatially-enabled digital devices, platforms, applications and services,” (Ash et al. 2016: 28), we can interrogate how these processes and algorithms are informed by socio-economic inequalities, because the risk is that new technologies will simply reproduce them.

Second, the circulation of data around the globe invokes questions about who owns and regulates them when stored and processed in remote geographic locations….(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)”.

The Palgrave Handbook of Global Health Data Methods for Policy and Practice


Book edited by Sarah B. Macfarlane and Carla AbouZahr: “This handbook compiles methods for gathering, organizing and disseminating data to inform policy and manage health systems worldwide. Contributing authors describe national and international structures for generating data and explain the relevance of ethics, policy, epidemiology, health economics, demography, statistics, geography and qualitative methods to describing population health. The reader, whether a student of global health, public health practitioner, programme manager, data analyst or policymaker, will appreciate the methods, context and importance of collecting and using global health data….(More)”.