This book explores the problem of causal inference when a sufficient number of comparative cases cannot be found, which would permit the application of frequency based models formulated in terms of explanatory causal generalisations.

Gerard Heymans (1857-1930) was the founder of psychology in the Netherlands, and established the first psychological laboratory. After becoming professor, he first looked for general psychological laws, and later became interested in how people differ. Heymans investigated this question by studying biographies and collecting survey data. With this rigorous approach that far exceeded the standards of his time, he arrived at three basic dimensions in which people can vary in their temperament. ...

Through stunning images, maps and insightful commentary, this book offers a glimpse into the diversity, historical legacy, and rich culture of Jewish communities within the Muslim world. From the growing Jewish community of Dubai to ancient synagogues and shrines, these photographs capture the beauty and complexity of Jewish life around North Africa, the Middle East, and Central Asia. Above all, this photographic book serves as a reminder of the enduring spirit of the Jewish people and the di...

Meta-Science

Towards a Science of Meaning and Complex Solution

Science has lost its ethical imperatives as it moved away from a science of ought to a science of is. Subsequently, it might have answers for how we can address global challenges, such as climate change and poverty, but not why we should. This supposedly neutral stance leaves it to politics and religions (in the sense of non-scientific fields of social engagement) to fill in the values. The problem is that through this concession,...

Digital Humanities, Corpus and Language Technology: A look from diverse case studies is an outstanding collection of research contributions that explores the intersection of technology and the humanities. The authors provide a comprehensive overview of how these technologies can enhance research across various disciplines, from literature to history to anthropology. This book is a mustread for anyone interested in future research in the humanities. Digital Humanities, Corpus, and Language Tec...

The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addr...