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""This book focuses on the didactics of social sciences and ITCs including issues related to innovation, resources, and strategies for teachers. It also includes strategies and resources related to virtual reality, augmented reality, videogames, 3D printing, m-learning, b-learning, and virtual classrooms"--Provided by publisher"--

CO-OPERAS (https://www.go-fair.org/implementation-networks/overview/co-operas/) and SSHOC (https://sshopencloud.eu/) share a similar task: supporting researchers in the social sciences and humanities to integrate their work and results according to the FAIR principles. To this end, SSHOC and CO-OPERAS organised a joint workshop revolving around FAIR principles for research data in the SSH on the one hand and the development of the SSH Open Marketplace on the other. They asked participants to talk about their needs and experiences with the FAIR principles in their own research realities and then, not independently from this discussion, to give feedback about the conception of the SSHOC Open Marketplace. The idea of organizing a series of workshops in small local settings and in native languages - in this case in German - in order to anchor and align the FAIR principles with individual research practices was coming from the CO-OPERAS GO-FAIR Implementation Network. Already followed by a series of events in Italy (Turin), Portugal (Coimbra), and France (Marseilles), the concept has been proven in Göttingen as well: the uptake of the workshop was, with 28 participants from across the whole country, very good. The German language approach considerably lowered the threshold to give feedback and formulate own ideas. The first part of the workshop was dedicated to the FAIR principles following the concept and structure of the previous CO-OPERAS workshops. Like in the previous events, participants with different research background (history, art history, theology, political science, Romance studies, German studies, Japanese studies, archaeology, cultural anthropology, coptology, philosophy) discussed the following complexes of questions: What are the research data in your discipline and what role does research data management play for your academic work? How the FAIR principles are aligned with your data collection practices? How the FAIR principles are aligned with your data processing practices? How the FAIR principles ...

The purpose of the article is to review four major social science research projects currently under way in the Nordic countries, and to discuss the preconditions for, and the significance of, the manner in which the projects are organised. Four models for organising social science research are outlined, and applied to the projects. The main conclusion of the study, albeit of a tentative nature, is that whether a research project is organised according to one or other model is dependent upon the infrastructure of social science research, and the organisation of the wider society in the country concerned.

La traçabilité sans précédent des pratiques sociales réactive des clivages qui ont divisé les sciences depuis lexixesiècle. L'abondance des données et la puissance de leur traitement semblent fragiliser la sociologie, alors même que la physique ou l'informatique investissent activement ses problématiques de prédilection. La sociologie n'aurait plus le monopole du social, dont les relations ne seraient pas si singulières, et pourrait faire l'objet de traitements éprouvés par les sciences de la nature. Afin de mieux saisir les enjeux relatifs au déploiement des dispositifs numériques à l'ensemble des pratiques contemporaines, nous proposons de distinguer l'évolution des relations sociales de l'observation de ces relations, de la production de connaissances et, enfin, de la production de sens, comme autant de « remédiations numériques ».Nous n'assisterions ainsi pas tant à une crise de la sociologie empirique qu'à la résurgence de l'idéal d'une physique sociale opposant aux qualités de l'interprétation la puissance de l'efficience. En faisant l'économie de plus d'un siècle de sciences sociales, ce projet promu par une science sociale computationnelle entretient pourtant de nombreux malentendus et une négligence surprenante de la réflexivité, récusant activement le propre de l'humain au profit de lois supposées universelles.

Biological explanations shaped criminology at its inception, and today they are reemerging with fresh vigor and increased potential. But many criminologists do not understand how biological theories developed, what they contributed to criminology generally and where they went astray. This paper focuses on the work of Earnest A. Hooton, whose criminological studies, published in 1939, met with decidedly mixed reviews but were nonetheless discussed for decades in criminological textbooks. Information about a now half‐forgotten and misunderstood figure like Hooton, in addition to being useful in and of itself, contributes to the history of criminology as a discipline—a project essential to the field's ultimate maturity. It helps build a history of criminological knowledge.

AbstractPartisan criminological analysis is characterized by dogmatic theories whose volidity is politically rather thon scientifically determined. Methods of inquiry ore used to demonstrate rather thon test theoretical propositions. Standard methodological tactics include assertion, anecdote, association, and analogy. In contrast, nonpartisan conflict analysis treats as entirely problematic the processes by which conceptions of deviance are socially constructed and become the official concerns of those who wield state power. What, how, why, and by whom behavioral or nonbehovioral attributes are labeled deviant is viewed as o function of the relative power of parties in conflict over the distribution of life chances.

Preface -- 1 Some Common Types of Investigation -- 2 Measurement -- 3 Some Simple Descriptive Statistics -- 4 Elementary Sampling Theory -- 5 Elementary Concepts of Probability -- 6 Contingency Tables and Tests of Association -- 7 Correlation and Regression -- 8 Simple Tests of Significance -- 9 Analysis of Variance -- 10 Recording Data on Punch Cards -- Appendix 1 The Normal Distribution Function -- References.