Social Network Science (SNS) is the field concerned with studying social systems in a relational way from the perspectives of the social and natural sciences. This data set consists of 25,760 biographical records retrieved from the Web of Science, ranging from 1916 to 2012. Each publication belongs to one of five subfields. To facilitate analyses of the social aspect of SNS, the names of 45,580 distinct authors are provided, linked to the papers in 68,227 publication-author relations. Author names have been disambiguated semi-automatically. To enable analyses of the cultural aspect of SNS, 23,026 distinct linguistic concepts are provided. These concepts resemble words or word combinations extracted from titles (for all publication years) and from abstracts and author keywords (only for publications published after 1990/1991). They are linked to the papers in 202,181 publication-concept relations.
Social Network Science (SNS) is the field concerned with studying social systems in a relational way from the perspectives of the social and natural sciences. This data set consists of 25,760 biographical records retrieved from the Web of Science, ranging from 1916 to 2012. Each publication belongs to one of five subfields. To facilitate analyses of the social aspect of SNS, the names of 45,580 distinct authors are provided, linked to the papers in 68,227 publication-author relations. Author names have been disambiguated semi-automatically. To enable analyses of the cultural aspect of SNS, 23,026 distinct linguistic concepts are provided. These concepts resemble words or word combinations extracted from titles (for all publication years) and from abstracts and author keywords (only for publications published in, or after, 1990). They are linked to the papers in 201,608 publication-concept relations.
FLOORCASH-SocCit provides comprehensive computable data on entitlements to social cash transfers in the global South. The dataset covers 282 social cash transfer programmes in 148 countries and small territories, as of 2012/13. FLOORCASH-SocCit has been constructed in view of the sociological concept of social citizenship, focusing on entitlements to social cash transfers rather than welfare outcomes. FLOORCASH-SocCit emphasises three aspects: inclusion of social groups (with more refined data than earlier studies), conditions of access to benefits, and institutionalization of the programmes. FLOORCASH-SocCit can be used for studies with different units of analysis (programmes, target categories, countries).
Political trust is one aspect that might be affected by the COVID-19 pandemic and the strict government-implemented measures to fight the virus. Previous studies report an increase in political trust at the onset of the pandemic in several European countries, followed by a marginal decline over the further course of the pandemic. However, it is unclear how political trust changes among first and second generation migrants in Germany compared to natives throughout the pandemic. To address this question, we use data from the adult cohort of the German National Educational Panel Study (NEPS) at one measurement point before, and two during the pandemic. Consistent with previous studies, our data show that pre-pandemic, political trust is higher among first generation migrants than among second generation migrants and natives. We examine how these previous differences evolve throughout the pandemic. Our results indicate that political trust increases significantly only for natives and second generation migrants, but not for first generation migrants at the beginning of the pandemic. Later in the first year of the pandemic, political trust is higher than pre-pandemic for all groups. Neither vulnerabilities nor sociodemographic control variables can explain the differences between the groups.
The survey "Social Capital in Switzerland" was part of the Empirical Research Seminars at the Institute of Sociology of the University of Bern in the summer semester 2003. Approximately 100 students took part in the research seminars, divided into three groups led by Jürg Arpagaus, lic. rer. pol. and PD Dr. Axel Franzen on "social capital and social norms", "social capital and economic transactions" and "social capital and occupational mobility". In the three working groups, indicators were developed to measure the different aspects of the social capital of individuals and formulate the relevant questions for the survey. The data set contains among other things detailed information on normative notions of cooperation and fairness, volunteering in associations and organizations, trust in fellow citizens and institutions, characteristics of recent purchases and services used, and socio-demographic information. The objective of the survey was to provide a database for the empirical study of the function of social capital in the context of social norms, economic transactions and job mobility.
The Swiss HR Barometer is a joint project run by the University of Zurich, ETH Zurich and University of Lucerne. It is funded by the Swiss National Science Foundation and it has been gathering information on how workers in Switzerland experience their work situation since 2006. Using a representative, differentiated survey of workers in Switzerland conducted at regular intervals, fundamental aspects of organisational psychology are assessed to inform human resource policy making. In this year's survey, the main focus was on "integration and discrimination".
The high-frequency online panel (IAB-HOPP) is also known as the "Life and Work Situations in Times of Corona" study and surveyed individuals from May 2020 to March 2021. Overall, seven waves were conducted. The data will help researchers to evaluate changes in peoples' life during the COVID-19 pandemic, and provide long-term research opportunities on labour market consequences of the crisis. Example aspects include employment trends, short-time work, social and financial security, working hours, home office, and child care.
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Crime has become a major problem in public opinion in recent years. It is therefore of prime importance to know the extent of the prevalence and incidence of delinquency in Switzerland, and more specifically delinquency concerning aggravated behaviour (in particular sexual violence and serious bodily harm to persons). The descriptive study of the commission of this delinquency inevitably leads us to focus on the two other aspects of this phenomenon: victimization and acceptance of violence. The main question is: What are the frequencies of violent behaviour and experiences in Switzerland and what are the relationships between personal experiences of victimisation and the commission of acts of physical and sexual violence on the other hand among men? Other factors concerning the respondent's personality, life and immediate social environment are also assessed. The more subtle forms of psychological violence are not taken into consideration.
Crime has become a major problem in public opinion in recent years. It is therefore of prime importance to know the extent of the prevalence and incidence of delinquency in Switzerland, and more specifically delinquency concerning aggravated behaviour (in particular sexual violence and serious bodily harm to persons). The descriptive study of the commission of this delinquency inevitably leads us to focus on the two other aspects of this phenomenon: victimization and acceptance of violence. The main question is: What are the frequencies of violent behaviour and experiences in Switzerland and what are the relationships between personal experiences of victimisation and the commission of acts of physical and sexual violence on the other hand among men? Other factors concerning the respondent's personality, life and immediate social environment are also assessed. The more subtle forms of psychological violence are not taken into consideration.
The nuclear phasing out and promoted energy turnaround (Energiewende) could constitute a major driver for renewable energy projects. Increasing the share of renewable energy is seen as indispensable to solve the energy supply dilemma. This new orientation faces various challenges not only on a technical, but also on a political level. We argue that the governmental decision as such does not automatically induce energy turnaround. In order to make change happen, renewable energy projects and innovative policy instruments enhancing them have to be accepted and realized at the regional and local level. Economists typically argue that incentive based instruments (e.g., green taxes) linked to regulatory measures are most effective to limit energy use and to promote renewable energies (Thalmann 2004). But this type of proposals is particularly difficult to implement, given that political and institutional aspects (e.g., attitudes of political actors and voters, existing regulations on various levels especially regarding the grid) create "lock-in" situations that hinder the diffusion of renewable energy (Stadelmann-Steffen 2011; Knill & Lenschow 2005). Several regional and local initiatives explicitly promoting renewable energies have failed making for instance the typical dilemma between renewables and environmental protection evident. The overarching question arises as to how effective policy change towards renewable energy can be achieved. In this vein, we start with the idea that effective policy change leading to the realization of regional and local renewable energy projects can be determined by assessing different aspects of "social acceptance" (Wüstenhagen et al. 2007). We argue that – besides technology acceptance by the market – the acceptance of policies and instrument mixes is a crucial pre-condition for project success. So we concentrate on the acceptance of policies and instrument mixes (e.g., regulatory and incentive measures) by (1) the political elite involved in energy policy decision-making (socio-political acceptance) and by (2) citizens as expressed through their vote or other political intervention (community acceptance). Empirically, and via a comparative case study, social network analysis, and experimental survey design, we assess the promotion of alternative electricity from renewable sources (solar, wind, geothermal and small scale hydro power) and ask: 1. Where, when and why have renewable electricity projects failed or succeeded in the past? 2. What current policy drivers (e.g., public attention, actors' networks, pressure from landscape protection) impact the socio-political acceptance of innovative instrument mixes on the regional and local level? 3. How to conceive prospective policy designs and instrument mixes that enhance community acceptance and citizen's preferences in favor of regional and local renewable electricity projects?
The nuclear phasing out and promoted energy turnaround (Energiewende) could constitute a major driver for renewable energy projects. Increasing the share of renewable energy is seen as indispensable to solve the energy supply dilemma. This new orientation faces various challenges not only on a technical, but also on a political level. We argue that the governmental decision as such does not automatically induce energy turnaround. In order to make change happen, renewable energy projects and innovative policy instruments enhancing them have to be accepted and realized at the regional and local level. Economists typically argue that incentive based instruments (e.g., green taxes) linked to regulatory measures are most effective to limit energy use and to promote renewable energies (Thalmann 2004). But this type of proposals is particularly difficult to implement, given that political and institutional aspects (e.g., attitudes of political actors and voters, existing regulations on various levels especially regarding the grid) create "lock-in" situations that hinder the diffusion of renewable energy (Stadelmann-Steffen 2011; Knill & Lenschow 2005). Several regional and local initiatives explicitly promoting renewable energies have failed making for instance the typical dilemma between renewables and environmental protection evident. The overarching question arises as to how effective policy change towards renewable energy can be achieved. In this vein, we start with the idea that effective policy change leading to the realization of regional and local renewable energy projects can be determined by assessing different aspects of "social acceptance" (Wüstenhagen et al. 2007). We argue that – besides technology acceptance by the market – the acceptance of policies and instrument mixes is a crucial pre-condition for project success. So we concentrate on the acceptance of policies and instrument mixes (e.g., regulatory and incentive measures) by (1) the political elite involved in energy policy decision-making (socio-political acceptance) and by (2) citizens as expressed through their vote or other political intervention (community acceptance). Empirically, and via a comparative case study, social network analysis, and experimental survey design, we assess the promotion of alternative electricity from renewable sources (solar, wind, geothermal and small scale hydro power) and ask: 1. Where, when and why have renewable electricity projects failed or succeeded in the past? 2. What current policy drivers (e.g., public attention, actors' networks, pressure from landscape protection) impact the socio-political acceptance of innovative instrument mixes on the regional and local level? 3. How to conceive prospective policy designs and instrument mixes that enhance community acceptance and citizen's preferences in favor of regional and local renewable electricity projects?
The Federal Statistical Office (FSO) is responsible for developing statistics and indicators on the information society within the framework of the Federal Coordination Group on the Information Society (ISCC). As there is hardly any representative data on the infrastructure and use of information and communication technologies (ICT) throughout Switzerland in the education sector - especially in primary schools - any gaps in data and information should be closed when developing indicators. The Institute for Interdisciplinary Economic and Social Research (IWS) of the University of Applied Sciences Solothurn Northwestern Switzerland has been commissioned to assess this ICT infrastructure and develop corresponding indicators. The study aims at the following aspects: - Complete overview of previous surveys on the dissemination of information and communication technologies at primary schools in Switzerland - Identification of data and information gaps on ICT infrastructure in primary schools in Switzerland - Identification of key indicators of the ICT infrastructure - If necessary to close existing data and information gaps, a representative nationwide survey on computer density, type, age and location of computers and financial investments, among other things. - A meta-analysis based on the data and information researched and collected - Selection and development of indicators for ICT infrastructure in primary schools in Switzerland
The Federal Statistical Office (FSO) is responsible for developing statistics and indicators on the information society within the framework of the Federal Coordination Group on the Information Society (ISCC). As there is hardly any representative data on the infrastructure and use of information and communication technologies (ICT) throughout Switzerland in the education sector - especially in primary schools - any gaps in data and information should be closed when developing indicators. The Institute for Interdisciplinary Economic and Social Research (IWS) of the University of Applied Sciences Solothurn Northwestern Switzerland has been commissioned to assess this ICT infrastructure and develop corresponding indicators. The study aims at the following aspects: - Complete overview of previous surveys on the dissemination of information and communication technologies at primary schools in Switzerland - Identification of data and information gaps on ICT infrastructure in primary schools in Switzerland - Identification of key indicators of the ICT infrastructure - If necessary to close existing data and information gaps, a representative nationwide survey on computer density, type, age and location of computers and financial investments, among other things. - A meta-analysis based on the data and information researched and collected - Selection and development of indicators for ICT infrastructure in primary schools in Switzerland
This project investigates the discourse about digitization of higher education and research in Swiss policy debates. In general, the discourse about higher education and research has been fundamentally shaped by digitization in the last decade. Universities, scientific academies, business groups and state actors formulated digital strategies and action plans to cope with the "chances and challenges of digitization for higher education and research", as one report by the SERI stated. The debate goes far beyond the narrower field of the data sciences but marks it in various respects as a "strategic research area" (ETH Board 2016) or a fundamental "enabling technology" (SERI 2017). The discussion about digitization is part of sociotechnical imaginaries: Political, economic, and scientific actors create visions of the future in which social relations of and to digital technologies are described and framed (Jasanoff 2015; Jasanoff & Kim 2015; Meyer 2020). The future scenarios designed in the context of the digitization discourse are analysed as a case study of a collective conception of society based on statements by political, economic, and scientific actors. The formulation of political strategies and goals and the adoption of measures involve both discursive and non-discursive practices: By outlining the future development of societal domains, political actors also value and allocate attention, financial and other resources (Beckert 2016; Jasanoff 2015). The data basis for the study is formed by strategies documents and reports by actors in Swiss higher education and research policy (N=34). The period of the documents investigated ranges from 1998 to 2020, with most of them published after 2014. Since the documents from 2014 onward increasingly address "Big Data" and "Data Science" as well as their legal, economic, and educational aspects in education and research policy, this period forms the focus of the analysis. All documents were coded and analysed using qualitative content analysis to identify the relevant topics and social, i.e. political, economic, or technological dimensions in the corpus.
This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on household demographics, migration history and intentions, remittances received and support given, migration attitudes, and constraints, household income, personality traits, and subjective well-being. The respondents answered questions on their personal situation, on other household members, and on the general household situation. The use of computer assisted personal interviews (CAPI) ensured high quality data.
The database is a product of a German Research Foundation (DFG) financed research project "Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan" (BU1319/16-1, HE 5272/8-1).
The data set has not yet been fully analysed in many respects, e.g. on subjective well-being of the respondent and his/her migration/staying intentions.
Data are stored in long-form.
Further inquiries can be sent directly to:
Tom Dufhues, dufhues@yahoo.de
For inquiries regarding data organization and on extracting data on particular aspects/variables please contact the data curator Stephan Brosig (brosig@iamo.de)