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Stefaan Verhulst

Book by Walter J. Radermacher: “This book explores official statistics and their social function in modern societies. Digitisation and globalisation are creating completely new opportunities and risks, a context in which facts (can) play an enormously important part if they are produced with a quality that makes them credible and purpose-specific. In order for this to actually happen, official statistics must continue to actively pursue the modernisation of their working methods.

This book is not about the technical and methodological challenges associated with digitisation and globalisation; rather, it focuses on statistical sociology, which scientifically deals with the peculiarities and pitfalls of governing-by-numbers, and assigns statistics a suitable position in the future informational ecosystem. Further, the book provides a comprehensive overview of modern issues in official statistics, embodied in a historical and conceptual framework that endows it with different and innovative perspectives. Central to this work is the quality of statistical information provided by official statistics. The implementation of the UN Sustainable Development Goals in the form of indicators is another driving force in the search for answers, and is addressed here….(More)”

Official Statistics 4.0: Verified Facts for People in the 21st Century

Dan Sabbagh at the Guardian: “Police forces, hospitals and councils struggle to understand how to use artificial intelligence because of a lack of clear ethical guidance from the government, according to the country’s only surveillance regulator.

The surveillance camera commissioner, Tony Porter, said he received requests for guidance all the time from public bodies which do not know where the limits lie when it comes to the use of facial, biometric and lip-reading technology.

“Facial recognition technology is now being sold as standard in CCTV systems, for example, so hospitals are having to work out if they should use it,” Porter said. “Police are increasingly wearing body cameras. What are the appropriate limits for their use?

“The problem is that there is insufficient guidance for public bodies to know what is appropriate and what is not, and the public have no idea what is going on because there is no real transparency.”

The watchdog’s comments came as it emerged that Downing Street had commissioned a review led by the Committee on Standards in Public Life, whose chairman had called on public bodies to reveal when they use algorithms in decision making.

Lord Evans, a former MI5 chief, told the Sunday Telegraph that “it was very difficult to find out where AI is being used in the public sector” and that “at the very minimum, it should be visible, and declared, where it has the potential for impacting on civil liberties and human rights and freedoms”.

AI is increasingly deployed across the public sector in surveillance and elsewhere. The high court ruled in September that the police use of automatic facial recognition technology to scan people in crowds was lawful.

Its use by South Wales police was challenged by Ed Bridges, a former Lib Dem councillor, who noticed the cameras when he went out to buy a lunchtime sandwich, but the court held that the intrusion into privacy was proportionate….(More)”.

Lack of guidance leaves public services in limbo on AI, says watchdog

Paper by Kyle M. L. Jones, Alan Rubel and Ellen LeClere: “Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data.

We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students….(More)”.

A Matter of Trust: Higher Education Institutions as Information Fiduciaries in an Age of Educational Data Mining and Learning Analytics

Martin Fougère and Nikodemus Solitander at the Journal of Business Ethics: “Multi-stakeholder initiatives involve actors from several spheres of society (market, civil society and state) in collaborative arrangements to reach objectives typically related to sustainable development. In political CSR literature, these arrangements have been framed as improvements to transnational governance and as being somehow democratic.

We draw on Mouffe’s works on agonistic pluralism to problematize the notion that consensus-led multi-stakeholder initiatives bring more democratic control on corporate power. We examine two initiatives which address two very different issue areas: the Roundtable on Sustainable Palm Oil (RSPO) and the Bangladesh Accord on Fire and Building Safety (The Accord).

We map the different kinds of adversarial relations involved in connection with the issues meant to be governed by the two initiatives, and find those adversarial relations to take six main shapes, affecting the initiatives in different ways: (1) competing regulatory initiatives; (2) pressure-response relations within multi-stakeholder initiatives; (3) pressure-response relations between NGOs and states through multi-stakeholder initiatives; (4) collaboration and competition between multi-stakeholder initiatives and states; (5) pressure-response relations between civil society actors and multi-stakeholder initiatives; and (6) counter-hegemonic movements against multi-stakeholder initiatives as hegemonic projects.

We conclude that multi-stakeholder initiatives cannot be democratic by themselves, and we argue that business and society researchers should not look at democracy or politics only internally to these initiatives, but rather study how issue areas are regulated through interactions between a variety of actors—both within and without the multi-stakeholder initiatives—who get to have a legitimate voice in this regulation….(More)”.

Dissent in Consensusland: An Agonistic Problematization of Multi-stakeholder Governance

Paper by Amar Bhide: “Governments and universities are pouring money into more ‘practical’ research – ‘translational’ medicine and ‘evidence-based’ policies in education, public health and economic development, for instance. But just translating or applying science rarely produces practical advances – and an inflexible adherence to the methods of natural or social scientists can do more harm than good. Instead, I propose a general approach – and specific research topics – to advance practical knowledge and study its distinctive contemporary nature….(More)”

Practical Knowledge: Sustaining Massively-Multiplayer Innovation

Book edited by Tanu Priya Uteng, Hilda Rømer Christensen, and Lena Levin: “This book considers gender perspectives on the ‘smart’ turn in urban and transport planning to effectively provide ‘mobility for all’ while simultaneously attending to the goal of creating green and inclusive cities. It deals with the conceptualisation, design, planning, and execution of the fast-emerging ‘smart’ solutions.

The volume questions the efficacy of transformations being brought by smart solutions and highlights the need for a more robust problem formulation to guide the design of smart solutions, and further maps out the need for stronger governance to manage the introduction and proliferation of smart technologies. Authors from a range of disciplinary backgrounds have contributed to this book, designed to converse with mobility studies, transport studies, urban-transport planning, engineering, human geography, sociology, gender studies, and other related fields.

The book fills a substantive gap in the current gender and mobility discourses, and will thus appeal to students and researchers studying mobilities in the social, political, design, technical, and environmental sciences….(More)”.

Gendering Smart Mobilities

Introduction by Ash Amin: “….More than 50% of the world’s population lives in cities, and this figure is expected to rise to 70% by 2050. World affairs and city affairs have become deeply enmeshed, and what goes on within cities – their economic productivity, environmental footprint, cultural practices, social wellbeing, and political stability – affects the world at large. They shape the weather and are the weathervane of our times, so getting them right matters. But what this involves and how far it is within reach is by no means clear….

Thus, while the international policy community may confidently call for cities to be made ‘inclusive, safe, resilient and sustainable’ in the way headlined in the UN’s 2030 Agenda for Sustainable Development, it tends to underestimate the challenges of achieving traction in a distributed, plural and often hidden force field. A number of pressing questions arise. Should state effort focus on comprehensive master plans and general infrastructures and services, or on strategic risks and vulnerabilities, while coordinating risks? What are the limits and limitations of state action, and how is the balance between the general and the specific or the communal
and sectionalist to be found? What is the relationship between central authority plans and the communities who are to benefit, and how can neighbourhood knowledge and effort be supported amidst policy neglect or corporatist calculation? Is it possible to reconcile strategic and democratic goals in the twenty first-century city of multiple logics, demands and actors?…(More)”.

Governing the Plural City

Sendhil Mullainathan in The New York Times: “In one study published 15 years ago, two people applied for a job. Their résumés were about as similar as two résumés can be. One person was named Jamal, the other Brendan.

In a study published this year, two patients sought medical care. Both were grappling with diabetes and high blood pressure. One patient was black, the other was white.

Both studies documented racial injustice: In the first, the applicant with a black-sounding name got fewer job interviews. In the second, the black patient received worse care.

But they differed in one crucial respect. In the first, hiring managers made biased decisions. In the second, the culprit was a computer program.

As a co-author of both studies, I see them as a lesson in contrasts. Side by side, they show the stark differences between two types of bias: human and algorithmic.

Marianne Bertrand, an economist at the University of Chicago, and I conducted the first study: We responded to actual job listings with fictitious résumés, half of which were randomly assigned a distinctively black name.

The study was: “Are Emily and Greg more employable than Lakisha and Jamal?”

The answer: Yes, and by a lot. Simply having a white name increased callbacks for job interviews by 50 percent.

I published the other study in the journal “Science” in late October with my co-authors: Ziad Obermeyer, a professor of health policy at University of California at Berkeley; Brian Powers, a clinical fellow at Brigham and Women’s Hospital; and Christine Vogeli, a professor of medicine at Harvard Medical School. We focused on an algorithm that is widely used in allocating health care services, and has affected roughly a hundred million people in the United States.

To better target care and provide help, health care systems are turning to voluminous data and elaborately constructed algorithms to identify the sickest patients.

We found these algorithms have a built-in racial bias. At similar levels of sickness, black patients were deemed to be at lower risk than white patients. The magnitude of the distortion was immense: Eliminating the algorithmic bias would more than double the number of black patients who would receive extra help. The problem lay in a subtle engineering choice: to measure “sickness,” they used the most readily available data, health care expenditures. But because society spends less on black patients than equally sick white ones, the algorithm understated the black patients’ true needs.

One difference between these studies is the work needed to uncover bias…(More)”.

Biased Algorithms Are Easier to Fix Than Biased People

Paper by Jan Fagerberg & Gernot Hutschenreiter: “Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making.

In this paper we focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance. Based on a systemic understanding of innovation and the factors shaping it, the paper highlights the need for effective coordination of policies influencing innovation and what changes in innovation policy governance this may require. To throw further light on how this may be realised the paper discusses evidence on national innovation policy practice, from Finland, the Netherlands and Sweden, respectively, drawing on the country reviews of innovation policy conducted by the OECD as well as other sources. It is concluded that for innovation policy to tackle societal challenges effectively, clearer goals and stronger and better coordination among the various actors – both public and private – whose actions matter for innovation performance will be required. Based on the experiences of the three countries the paper particularly considers the role that comprehensive and inclusive innovation policy councils, with the prime minister in a central role, may play in such a process….(More)”.

Coping with societal challenges: Lessons for innovation policy governance

Paper by Michael Lissack: “Understanding and cognition are traditionally viewed as philosophical and scientific issues where there is little room for contribution from the design community. This article proposes a radically different approach based on the observation that we live in a world that is more complex than our minds/brains possess the ability to process in its entirety. Our limited equipment forces us to deal with only selected aspects of any given piece of that complex world at each instant. Selection—be it conscious or unconscious—involves agency and choice. Design and design thinking scholars have much to say about how agency and choice can be impacted by still other choices—context, symbols, movement, audience, and so on. Suppose cognition and meaning making were re-cast as design processes? This would highlight the role played by cybernetics—the science of how we learn how to steer—in shaping how we cognitively deal with the world. Together design and cybernetics have much to offer the cognitive sciences….(More)”

Understanding Is a Design Problem: Cognizing from a Designerly Thinking Perspective

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