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Religious scholarship can be offensive to believers, as conflicts from the time of Galileo and Spinoza to the recent critique of Danish religious scholars in the wake of the infamous Muhammad cartoons have shown. Studies of this type of scholarship have been appropriated by believers as a means of reinventing their own identities - as the training of twentieth-century Muslim clergy demonstrates…
We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questi…
This open access book draws the big picture of how population change interplays with politics across the world from 1990 to 2040. Leading social scientists from a wide range of disciplines discuss, for the first time, all major political and policy aspects of population change as they play out differently in each major world region: North and South America; Sub-Saharan Africa and the MENA regio…
What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate stud…
This open access book examines more than two centuries of societal development using novel historical and statistical approaches. It applies the well-being monitor developed by Statistics Netherlands that has been endorsed by a significant part of the international, statistical community. It features The Netherlands as a case study, which is an especially interesting example; although it wa…
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and too…
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, reg…