Suchergebnisse

Until 2012 many gatherings have been organised discussing the future of Social Sciences and Humanities (SSH) in the European research landscape; Many wise words were spoken and good ideas had been launched before, but to connect them with specific work programmes and discuss them in an open and broad manner, was another matter. Our Lithuanian colleagues recognised that the timing of their country's EU Presidency would be the perfect moment to discuss the role and relevance of SSH in the upcoming Framework Programme, Horizon 2020, with their wider impact. The new programme foresees the full integration of SSH into the "Grand Societal Challenges" that Europe faces and is determined to tackle through research, development and innovation. The realisation of these ambitious goals has yet to take shape. The conference in September 2013 was one of the many potential places to make this happen. Before the start of the conference we conducted a "consultation process" within the European SSH communities to hear the voices of as many contributors as possible. More than 300 very detailed responses have brought up interesting issues, which helped us to structure the conference and collect recommendations for drafting a declaration. We collaborated closely with the European Commission in preparing this conference: as a result, Commission staff participated in all sessions where the integration into the seven societal challenges was discussed. We asked prominent scholars from all branches of SSH to provide input. The first day of the conference concentrated on reflecting and assessing where we stand, whereas the second day was dedicated to a detailed discussion of the next necessary steps towards achieving integration. This report collects all conference contributions and the resulting recommendations.

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AbstractThis survey paper gives an impression of the main ways in which statistics is used in disciplines such as sociology and psychology. After an introductory section 1 the negative image of social science research is discussed in section 2. Section 3 is devoted to the enormous influence of modern computing facilities. Measurement of human behaviour has its specific problems (section 4). The use of linear and log–linear models is the topic of section 5. Latent variables are a basic concept for social and behavioral scientists, both in some linear models (section 6) and in item response theory (section 7). In the next section multidimensional and optimal scaling techniques are mentioned, and a selection of other topics is the content of section 9. Some general remarks on the generalizability claim of statistical methods constitute the final section. Because of space limitations and priority considerations, the author has decided to write a paper about topics and not about individual research contributions. For this reason there is no list of references (it would take several pages) and no painful split of all Dutch authors into those mentioned and those omitted. In general the Dutch research community has made quite a few major contributions to the area discussed in this paper.

This book demonstrates the use of georeferenced data for social science survey research which builds upon survey data enriched with geo-coordinates. It reviews the prerequisites and challenges of applying these data to different social science research questions, highlighting the different branches of an interdisciplinary effort. At the center of this presentation is the method of spatial linking: the combination of georeferenced survey data with information from auxiliary geospatial data sources. A collection of spatial linking methods is applied in this book's empirical applications which underline these methods' flexibility in different social science sub-disciplines, such as health and family, political attitudes, and environmental inequalities. For this purpose, georeferenced survey data from the German General Social Survey (GGSS) 2014 and the GESIS Panel are used. These empirical applications are part of an emerging field of research for social scientists, requiring new analytic skills from diverse and foreign disciplines, like ecology and engineering. Navigating the organizational and technical requirements for the analysis of georeferenced survey data enables researchers to answer new and innovative research questions.