2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

NUDGE: IMPROVING DECISIONS ABOUT HEALTH, WEALTH, AND HAPPINESS by Richard H. Thaler and Cass R. Sunstein Penguin Books, 2009, 312 pp, ISBN 978-0-14-311526-7This book is best described formally as a general explanation of and advocacy for libertarian paternalism, a term coined by the authors in earlier publications. Informally, it is about how leaders, systems, organizations, and governments can nudge people to do the things the nudgers want and need done for the betterment of the nudgees, or of society. It is paternalism in the sense that "it is legitimate for choice architects to try to influence people's behavior in order to make their lives longer, healthier, and better", (p. 5) It is libertarian in that "people should be free to do what they like - and to opt out of undesirable arrangements if they want to do so", (p. 5) The built-in possibility of opting out or making a different choice preserves freedom of choice even though people's behavior has been influenced by the nature of the presentation of the information or by the structure of the decisionmaking system. I had never heard of libertarian paternalism before reading this book, and I now find it fascinating.Written for a general audience, this book contains mostly social and behavioral science theory and models, but there is considerable discussion of structure and process that has roots in mathematical and quantitative modeling. One of the main applications of this social system is economic choice in investing, selecting and purchasing products and services, systems of taxes, banking (mortgages, borrowing, savings), and retirement systems. Other quantitative social choice systems discussed include environmental effects, health care plans, gambling, and organ donations. Softer issues that are also subject to a nudge-based approach are marriage, education, eating, drinking, smoking, influence, spread of information, and politics. There is something in this book for everyone.The basis for this libertarian paternalism concept is in the social theory called "science of choice", the study of the design and implementation of influence systems on various kinds of people. The terms Econs and Humans, are used to refer to people with either considerable or little rational decision-making talent, respectively. The various libertarian paternalism concepts and systems presented are tested and compared in light of these two types of people. Two foundational issues that this book has in common with another book, Network of Echoes: Imitation, Innovation and Invisible Leaders, that was also reviewed for this issue of the Journal are that 1 ) there are two modes of thinking (or components of the brain) - an automatic (intuitive) process and a reflective (rational) process and 2) the need for conformity and the desire for imitation are powerful forces in human behavior. …

Nudge: Improving Decisions about Health, Wealth, and Happiness

It comes as something ofa surprise to reflect that the New York Review ofBooks is now over twenty years old. Even people of my generation (that is, old enough to remember the revolutionary 196os but not young enough to have taken a very exciting part in them) think of the paper as eternally youthful. In fact, it has gone through years of relatively quiet life, yet, as always in a competitive journalistic market, it is the controversies that attract the interest of the reader and to which the history (especially an admittedly impressionistic survey that tries to include something of the intellectual context in which a journal has operated) must give some attention. Not all the attacks which the New York Review has attracted, both early in its career and more recently, are worth more than a brief summary. What do we now make, for example, of Richard Kostelanetz's forthright accusation that 'The New York Review was from its origins destined to publicize Random House's (and especially [Jason] Epstein's) books and writers'?1 Well, simply that, even if the statistics bear out the charge (and Kostelanetz provides some suggestive evidence to support it, at least with respect to some early issues), there is nothing surprising in a market economy about a publisher trying to push his books through the pages of a journal edited by his friends. True, the New York Review has not had room to review more than around fifteen books in each issue and there could be a bias in the selection of

http://www.jstor.org/stable/pdfplus/3507774.pdf

The New York Review of Books

Contemporary Sociology 7(5) (September 1978):566—68. When the intellectual history of our times comes to be written, that peculiarly Left Bank mixture of Marxism and structuralism now in fashion will be among the most puzzlingofourideastoevaluate.Aliteral “archeology of knowledge” (the title of one of Foucault’s earlier books) will be required to sort out the valuable from the obvious rubbish. I suspect that in this exercise the iconographers of the present (like Barthes) will fare less well than those who have read the past. Of such “historians” (a description which does not really cover his method) Foucault is the most dazzlingly creative. Discipline and Punish (which, shamefully, has taken over two years to be translated into English) follows Madness and Civilization (1961) and The Birth of the Clinic (1971) as the next stage in Foucault’s massive project of tracing the genealogy of control institutions (asylums, teaching hospitals, prisons) and the human sciences symbiotically linked with them (psychiatry, clinical medicine, criminology, penology). His concern throughout is the relationship between power and knowledge, the articulation of each on the other. Here (as he makes explicit in an interview recently published in the English journal, Radical Philosophy) he opposes the humanist position that, once we gain power, we cease to know——it makes us blind—— and that only those who keep their distance from power, who are no way implicated in tyranny, can attain the truth. For Foucault, such forms of knowledge as psychiatry and criminology (with its “garrulous discourses” and “intermidable [sic] repetitions”) are directly related to the exercise of power. Power itself creates new objects of knowledge and accumulates new bodies of information. Thus to “liberate scientific research from the demands of monopoly capitalism” can only be a slogan. Placing such programmatic Big Issues on one side, though, a superficial first reading of the book mightstartatthelevelofitssubtitle, “The Birth of the Prison.” The key historical transition——at the end of the eighteenth century——is from punishment as torture, a public spectacle, to the more economically and politically discreet prison sentence. The body as the major target of penal repression disappears: within a few decades, the grisly spectacles of torture, dismemberment, exposure, amputation, and branding are over. Interest is transferred from the body to the mind; a coercive, solitary, and secret mode of punishment replaces one that was representative, scenic, and collective. Gone is the liturgy of torture and execution, where the triumph of the sovereign was symbolized in the processions, halts at crossroads, public readings of the sentence even after death, where the criminal’s corpse was exhibited or burnt. In its place comes a whole technology of subtle power. When punishment leaves the domain of more or less everyday perception and enters into abstract consciousness, it does not become less effective. But its effectiveness arises from its inevitability not its horrific theatrical intensity. The new power is not to punish less but to In Retrospect: 1978 29

https://journals.sagepub.com/doi/pdf/10.1177/0094306118815499a

Discipline and Punish: The Birth of the Prison:

The politics of life itself Biomedicine, power, and subjectivity in the twenty-first century

Neurotechnology is an advancing field of research and development with significant implications for education. As ‘postdigital’ hybrids of biological and informational codes, novel neurotechnologies combine neuroscience insights into the human brain with advanced technical development in brain imaging, brain-computer interfaces, neurofeedback platforms, brain stimulation and other neuroenhancement applications. Merging neurobiological knowledge about human life with computational technologies, neurotechnology exemplifies how postdigital science will play a significant role in societies and education in decades to come. As neurotechnology developments are being extended to education, they present potential for businesses and governments to enact new techniques of ‘neurogovernance’ by ‘scanning’ the brain, ‘scraping’ it for data and then ‘sculpting’ the brain toward particular capacities. The aim of this article is to critically review neurotechnology developments and implications for education. It examines the purposes to which neurotechnology development is being put in education, interrogating the commercial and governmental objectives associated with it and the neuroscientific concepts and expertise that underpin it. Finally, the article raises significant ethical and governance issues related to neurotechnology development and postdigital science that require concerted attention from education researchers.

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Brain data: Scanning, scraping and sculpting the plastic learning brain through neurotechnology

Educational data science is an emerging transdisciplinary field formed from an amalgamation of data science and elements of biological, psychological and neuroscientific knowledge about learning, or learning science. This article conceptualises educational data science as a biopolitical strategy focused on the evaluation and management of the corporeal, emotional and embrained lives of children. Such strategies are enacted through the development of new kinds of digitally-mediated ‘biopedagogies’ of body optimisation, ‘psychopedagogies’ of emotional maximisation, and ‘neuropedagogies’ of brain empowerment. The data practices, scientific knowledges, digital devices and pedagogies that constitute educational data science produce new systems of knowledge about the child that are consequential to their formation as ‘biodigital’ subjects, whose assumed qualities and capacities are defined through expert practices of biosensing, emotion analytics, and neurocomputation, combined with associated scientifi...

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Coding the biodigital child: the biopolitics and pedagogic strategies of educational data science

Any analysis of edtech needs to acknowledge how it is embedded in sprawling educational issues that go beyond the idea of a particular type of pedagogy or set of school practices to complex relationships with technology development, business, economics and politics, as well as to individual behaviours, bodies, physical settings and local cultures, which require similarly complex analysis (Castaneda, Salinas, & Adell, 2020;Castaneda & Selwyn, 2018). [...]studies maybe so profoundly dedicated to research questions about technological effects that they bypass the crucial educational questions (Bartolome, Castaneda, & Adell, 2018;Zawacki-Richter, Marin, Bond, & Gouverneur, 2019), or so focussed on learning sciences methodologies and explanations -privileging psychological, cognitive and neuroscientific understandings of learning- that they neglect the complex social, political, economic and technical factors that shape individual and collective experiences and outcomes in education (Kirschner & Kester, 2016). Rather, from a relational perspective, we can appreciate that edtech, to be contextually produced, distributed and used;interacts with bodies and behaviours;is used differently in highly diverse situated settings;carries the imprint of its producers' business plans and objectives;is caught up in (trans)national policy agendas and geopolitics;requires funding and investment from financial sources;emerges from specific practices of RDis marketed to schools and universities in new global marketplaces;is inspired -explicitly or not- by certain theories or assumptions about pedagogy, education or learning;generates various forms of evangelism, accommodation, caution, non-use or outright rejection;is entangled in ethical challenges and questions over fundamental rights to education;surfaces profound contests over the claimed purposes and values ofeducation;and much more. In this section, we highlight some emerging issues and challenges that edtech research is only just beginning to unpack, and which raise questions about the kinds of theoretical toolboxes, analytical frameworks and methodologies required for such studies. 2.1New Edtech Actors The field of educational technology has always been rather a complicated one, involving a diverse mix of academic learning scientists, educationalists, instructional designers, educational technologists, managers, and commercial companies.

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Assembling New Toolboxes of Methods and Theories for Innovative Critical Research on Educational Technology

This article examines IBM’s ‘Smarter Education’ program, part of its wider ‘Smarter Cities’ agenda, focusing specifically on its learning analytics applications (based on machine learning algorithm...

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Computing brains: learning algorithms and neurocomputation in the smart city

Psychology and economics are powerful sources of expert knowledge in contemporary governance. Social and emotional learning (SEL) is becoming a priority in education policy in many parts of...

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Ben Williamson

Papers

Brain data: Scanning, scraping and sculpting the plastic learning brain through neurotechnology

Coding the biodigital child: the biopolitics and pedagogic strategies of educational data science

Assembling New Toolboxes of Methods and Theories for Innovative Critical Research on Educational Technology

Computing brains: learning algorithms and neurocomputation in the smart city

Psychodata: disassembling the psychological, economic, and statistical infrastructure of ‘social-emotional learning’