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UN arms embargoes
No full textThe focus of research was the state and evolution of UN arms embargoes and their implementation including monitoring and enforcement. The objective was to build a comprehensive database on the topic that had received much less academic attention previously in order to identify obstacles and options for arms embargoes’ contribution to conflict resolution.
In doing so, the project builds in particular on the current state of research on UN sanctions and seeks to address their contribution and shortcomings under changing conditions in conflict areas as well as in the UN system, especially within the governance architecture for sanctions.
As a starting point, the research design built on the analysis of all ongoing UN arms embargoes addressing armed conflict as well as a basic overview of previous, terminated embargoes. The analysis of ongoing UN arms embargoes is not a structured comparison; rather the study traces their evolution along several categories in order to identify common and differing patterns that are relevant to answer the overall research question.The focus of research was the state and evolution of UN arms embargoes and their implementation including monitoring and enforcement. The objective was to build a comprehensive database on the topic that had received much less academic attention previously in order to identify obstacles and options for arms embargoes’ contribution to conflict resolution.
In doing so, the project builds in particular on the current state of research on UN sanctions and seeks to address their contribution and shortcomings under changing conditions in conflict areas as well as in the UN system, especially within the governance architecture for sanctions.
As a starting point, the research design built on the analysis of all ongoing UN arms embargoes addressing armed conflict as well as a basic overview of previous, terminated embargoes. The analysis of ongoing UN arms embargoes is not a structured comparison; rather the study traces their evolution along several categories in order to identify common and differing patterns that are relevant to answer the overall research question
PUSH*BACK*LASH X Dataset
No full textThese data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typologies of mobilization and counterstrategies. This analysis contributes to the creation of a toolkit for online actors in the field. The dataset was collected between July 2023 and December 2023 and contains tweets between 2018 and 2023. The total Twitter/X data set consists of approximately 60,000 Tweet IDs from 110 public accounts. After removing duplicates and taking into account legal requirements, 27,000 Tweet IDs can be made available for download (see below). First, important pro- and anti-gender equality actors in the European Union were identified. Next, actors who were active on Twitter/X since 2021 or earlier were considered for the data collection. Due to changes implemented by Twitter/X in March 2023 (removal of free access to the X API and strict limitations of number of tweets that can be scraped) the list of identified actors was reduced to the most influential ones based on follower numbers, while simultaneously ensuring that actors from all core countries of the PUSH*BACK*LASH project were included. For each actor we scraped on average ~500 tweets. After scraping tweets from the initial list of actors, new actors were added based on those most-commonly mentioned in the scraped tweets. Data was scraped using the X API V2 and the R package RTwitterV2. In line with the X regulations, the data set only contains Tweet IDs.These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typologies of mobilization and counterstrategies. This analysis contributes to the creation of a toolkit for online actors in the field. The dataset was collected between July 2023 and December 2023 and contains tweets between 2018 and 2023. The total Twitter/X data set consists of approximately 60,000 Tweet IDs from 110 public accounts. After removing duplicates and taking into account legal requirements, 27,000 Tweet IDs can be made available for download (see below). First, important pro- and anti-gender equality actors in the European Union were identified. Next, actors who were active on Twitter/X since 2021 or earlier were considered for the data collection. Due to changes implemented by Twitter/X in March 2023 (removal of free access to the X API and strict limitations of number of tweets that can be scraped) the list of identified actors was reduced to the most influential ones based on follower numbers, while simultaneously ensuring that actors from all core countries of the PUSH*BACK*LASH project were included. For each actor we scraped on average ~500 tweets. After scraping tweets from the initial list of actors, new actors were added based on those most-commonly mentioned in the scraped tweets. Data was scraped using the X API V2 and the R package RTwitterV2. In line with the X regulations, the data set only contains Tweet IDs
Verzeichnis der Industriedenkmale in den Regionen Deutschlands
No full textBitte prüfen Sie vor Antrag des Datensatz die Versionshistorie. Es liegt ein überarbeiteter und ergänzter Datensatz vor.
Der Datensatz enthält die Anzahl der Industriedenkmale deutscher Regionen (NUTS-3, Raumordnungsregionen, Arbeitsmarktregionen) gesamt sowie unterteilt nach den drei Bereichen 'Produktion', 'Versorgung' und 'Verkehr'. Darüber hinaus werden diese absoluten Werte in Relation zur Fläche der Region (je 10 km²) und der Bevölkerungsdichte (pro 1.000 Einwohner) gesetzt.
Die Rohdaten wurden von den entsprechenden Denkmalbehörden Deutschlands gesammelt und ein Wörterbuch mit Stichworten zur Identifizierung von Industriedenkmalen erstellt.Bitte prüfen Sie vor Antrag des Datensatz die Versionshistorie. Es liegt ein überarbeiteter und ergänzter Datensatz vor.
Der Datensatz enthält die Anzahl der Industriedenkmale deutscher Regionen (NUTS-3, Raumordnungsregionen, Arbeitsmarktregionen) gesamt sowie unterteilt nach den drei Bereichen 'Produktion', 'Versorgung' und 'Verkehr'. Darüber hinaus werden diese absoluten Werte in Relation zur Fläche der Region (je 10 km²) und der Bevölkerungsdichte (pro 1.000 Einwohner) gesetzt.
Die Rohdaten wurden von den entsprechenden Denkmalbehörden Deutschlands gesammelt und ein Wörterbuch mit Stichworten zur Identifizierung von Industriedenkmalen erstellt
Replication materials for: "Overcoming Barriers to Interreligious Peace: Determinants of preferences for religiously similar others in Togo and Sierra Leone"
No full textThe published data and documents provide information to replicate the analyses of the paper "Overcoming Barriers to Interreligious Peace: Determinants of preferences for religiously similar others in Togo and Sierra Leone" by Julia Köbrich, Tobias H. Stark, Borja Martinović and Seyram Adiakpo that will be published in Political Psychology. Data were collected as part of the project 'Religion for Peace: Identifying Conditions and Mechanisms of Interfaith Peace' conducted at the German Institute for Global and Area Studies funded by the German Research Foundation.
The data provides individual-level and neighborhood-level information from two linked data collection efforts (71 variables). On the individual level, the data comprises information on preferences for similar others, religious ideas, coping and emotion regulation skills, knowledge of outgroup practices, descriptive and injunctive norms as well as demographic information. On the neighborhood level, the data comprises information on ten elements used to measure interreligious peace (interreligious violence, noise due to places of worship, the quality of relations, avoidance between people of different religions, interreligious marriages, interreligious prayers, contact between religious leaders as well as interreligious trust, cooperation and hostile attitudes). The R-syntax replicates all quantitative analyses reported in the paper and its online supplement.
Individual-level data were collected as part of a household survey conducted in 50 neighborhoods in Lomé (Togo) and Freetown (Sierra Leone) via computer assisted personal interviewing (Data collection in Lomé: 24.10.2022 to 08.11.2022; in Freetown: 26.11.2022 to 13.12.2022). A stratified sampling procedure was followed: First, 25 neighborhoods per city taking into account religious demography were randomly selected. The study was conducted in 19 religiously mixed (8 Lomé/ 11 Freetown), 15 predominantly Christian (9 Lomé/ 6 Freetown) and 16 predominantly Muslim (8 per city) neighborhoods. Within neighborhoods, households were selected using a random-walk procedure. Participants were randomly chosen from a list of eligible household members. Adult residents of Lomé and Freetown who were able to communicate with the enumerators and gave informed consent were eligible for participation. Respondents had the choice to be interviewed in English or Krio in Sierra Leone and in French or Ewe in Togo. In Sierra Leone 6% chose English and 94% Krio and in Togo 46% chose French and 54% Ewe. The published data include information on Muslim and Christian participants excluding 3 Christian particpants that erroneously answered questionnaires for Muslims (N=1828).
Neighborhood-level data was collected through expert group surveys using CAPI within the same randomly chosen neighborhoods in which individual-level data was collected. Neighborhood-level data was collected at the same time as individual-level data (Lomé: 27.10 - 14.11.2022; Freetown: 01.12.-10.12.2022). Researchers collecting the data, assembled three to five experts on the neighborhood (e.g. longtime residents, shop-owners, traditional leaders, religious leaders, women representatives or youth representatives). Experts were asked questions about their neighborhood, which they were to answer after consulting each other.The published data and documents provide information to replicate the analyses of the paper "Overcoming Barriers to Interreligious Peace: Determinants of preferences for religiously similar others in Togo and Sierra Leone" by Julia Köbrich, Tobias H. Stark, Borja Martinović and Seyram Adiakpo that will be published in Political Psychology. Data were collected as part of the project 'Religion for Peace: Identifying Conditions and Mechanisms of Interfaith Peace' conducted at the German Institute for Global and Area Studies funded by the German Research Foundation.
The data provides individual-level and neighborhood-level information from two linked data collection efforts (71 variables). On the individual level, the data comprises information on preferences for similar others, religious ideas, coping and emotion regulation skills, knowledge of outgroup practices, descriptive and injunctive norms as well as demographic information. On the neighborhood level, the data comprises information on ten elements used to measure interreligious peace (interreligious violence, noise due to places of worship, the quality of relations, avoidance between people of different religions, interreligious marriages, interreligious prayers, contact between religious leaders as well as interreligious trust, cooperation and hostile attitudes). The R-syntax replicates all quantitative analyses reported in the paper and its online supplement.
Individual-level data were collected as part of a household survey conducted in 50 neighborhoods in Lomé (Togo) and Freetown (Sierra Leone) via computer assisted personal interviewing (Data collection in Lomé: 24.10.2022 to 08.11.2022; in Freetown: 26.11.2022 to 13.12.2022). A stratified sampling procedure was followed: First, 25 neighborhoods per city taking into account religious demography were randomly selected. The study was conducted in 19 religiously mixed (8 Lomé/ 11 Freetown), 15 predominantly Christian (9 Lomé/ 6 Freetown) and 16 predominantly Muslim (8 per city) neighborhoods. Within neighborhoods, households were selected using a random-walk procedure. Participants were randomly chosen from a list of eligible household members. Adult residents of Lomé and Freetown who were able to communicate with the enumerators and gave informed consent were eligible for participation. Respondents had the choice to be interviewed in English or Krio in Sierra Leone and in French or Ewe in Togo. In Sierra Leone 6% chose English and 94% Krio and in Togo 46% chose French and 54% Ewe. The published data include information on Muslim and Christian participants excluding 3 Christian particpants that erroneously answered questionnaires for Muslims (N=1828).
Neighborhood-level data was collected through expert group surveys using CAPI within the same randomly chosen neighborhoods in which individual-level data was collected. Neighborhood-level data was collected at the same time as individual-level data (Lomé: 27.10 - 14.11.2022; Freetown: 01.12.-10.12.2022). Researchers collecting the data, assembled three to five experts on the neighborhood (e.g. longtime residents, shop-owners, traditional leaders, religious leaders, women representatives or youth representatives). Experts were asked questions about their neighborhood, which they were to answer after consulting each other
Right-Wing Extremist Mobilization in Germany
No full textThis is a dataset on right-wing extremist demonstrations that took place in Germany between 2005 and December 2022. We used the German federal government’s answers to brief parliamentary questions (Kleine Anfragen) tabled by the opposition left-wing party Die Linke to create this dataset. The dataset consists of 3627 observations and includes information on the location, date, number of participants, organizing actors, and the mottos of the right-wing ex-tremist demonstrations. Please note that we only use the information provided in the resources. We imported, cleaned, and merged the available data and geocoded the location variables. Version 2.0.0 contains additional information for the years 2021 and 2022. For further details see rwe_methods_report_2023.pdf.
For an interactive examination of the dataset, we invite users to access the visual representation via: https://germanextremismplotly.shinyapps.io/rwm_dash_en/ This is a dataset on right-wing extremist demonstrations that took place in Germany between 2005 and December 2022. We used the German federal government’s answers to brief parliamentary questions (Kleine Anfragen) tabled by the opposition left-wing party Die Linke to create this dataset. The dataset consists of 3627 observations and includes information on the location, date, number of participants, organizing actors, and the mottos of the right-wing ex-tremist demonstrations. Please note that we only use the information provided in the resources. We imported, cleaned, and merged the available data and geocoded the location variables. Version 2.0.0 contains additional information for the years 2021 and 2022. For further details see rwe_methods_report_2023.pdf.
For an interactive examination of the dataset, we invite users to access the visual representation via: https://germanextremismplotly.shinyapps.io/rwm_dash_en/ </a
Code/Syntax: Gleiche Teilhabe oder dauerhafte Nachteile? Die Chancen von Ostdeutschen auf F\ufchrungspositionen.
No full textAbstract der Referenzpublikation:
Zahlreiche Studien weisen auf die Unterrepräsentanz von Ostdeutschen in Führungspositionen hin. Bislang liegen jedoch kaum Studien zur zeitlichen Entwicklung und keine Studien zu den Ursachen dieser Unterrepräsentanz vor. Der Beitrag geht daher der Frage nach, ob sich die Chancen von Ostdeutschen auf Führungspositionen über die Zeit oder Geburtskohorten hinweg denen von Westdeutschen angleichen und auf welche Ursachen sich die Ungleichheiten zurückführen lassen. Die Ergebnisse auf Basis des Sozio-oekonomischen Panels mit Daten von 1990 bis 2020 zeigen eine Überrepräsentanz ostdeutscher Frauen, welche über die Zeit und die Kohorten abnehmen, während die Nachteile ostdeutscher Männer sich über die Zeit nicht verändern, aber über die Kohorten abnehmen. Kompositionelle Unterschiede im Humankapital, in der Wirtschaftsstruktur oder in der sozialen Herkunft spielen für die Nachteile ostdeutscher Männer keine Rolle. Dagegen zeigen Analysen für höhere Führungspositionen, dass vor allem in Ostdeutschland in allen Kohorten Nachteile für ostdeutsche Frauen und Männer bestehen. Insgesamt deuten die Ergebnisse auf den Elitentransfer Anfang der 1990er Jahre als Ursache der Benachteiligung ostdeutscher Männer beim Zugang zu Führungspositionen.
Data used: SOEP v37, 2020, doi: 10.5684/soep.core.v37eu Abstract der Referenzpublikation:
Zahlreiche Studien weisen auf die Unterrepräsentanz von Ostdeutschen in Führungspositionen hin. Bislang liegen jedoch kaum Studien zur zeitlichen Entwicklung und keine Studien zu den Ursachen dieser Unterrepräsentanz vor. Der Beitrag geht daher der Frage nach, ob sich die Chancen von Ostdeutschen auf Führungspositionen über die Zeit oder Geburtskohorten hinweg denen von Westdeutschen angleichen und auf welche Ursachen sich die Ungleichheiten zurückführen lassen. Die Ergebnisse auf Basis des Sozio-oekonomischen Panels mit Daten von 1990 bis 2020 zeigen eine Überrepräsentanz ostdeutscher Frauen, welche über die Zeit und die Kohorten abnehmen, während die Nachteile ostdeutscher Männer sich über die Zeit nicht verändern, aber über die Kohorten abnehmen. Kompositionelle Unterschiede im Humankapital, in der Wirtschaftsstruktur oder in der sozialen Herkunft spielen für die Nachteile ostdeutscher Männer keine Rolle. Dagegen zeigen Analysen für höhere Führungspositionen, dass vor allem in Ostdeutschland in allen Kohorten Nachteile für ostdeutsche Frauen und Männer bestehen. Insgesamt deuten die Ergebnisse auf den Elitentransfer Anfang der 1990er Jahre als Ursache der Benachteiligung ostdeutscher Männer beim Zugang zu Führungspositionen.
Data used: SOEP v37, 2020, doi: 10.5684/soep.core.v37eu </a
Code/Syntax: Place of Residence Does Matter for Educational Integration. The Relevance of Spatial Contexts for Refugees\u2019 Transition to VET in Germany
No full textThese are the replication files for the article “Place of Residence Does Matter for Educational Integration: The Relevance of Spatial Contexts for Refugees’ Transition to VET in Germany”. The analyses were based on the IAB-BAMF-SOEP Survey of Refugees as well as administrative data on the district level (NUTS-3) provided by the Federal Statistical Office and the statistical offices of the federal states of Germany.
Abstract: For the mostly young refugees who arrived in Germany around 2015/2016, completing vocational education and training (VET) represents the most promising opportunity for professional and social integration. However, access opportunities to VET are characterized by spatial inequalities: German districts vary considerably according to labour market structure, economic productivity and demographic development, which constitute the supply and demand for training places in the dual VET sector, to which refugees predominantly have access. This paper examines if the transition chances of young refugees aged 18–30 to VET depend on their place of residence. For this, we analysed the IAB-BAMF-SOEP Survey of Refugees (n = 5216) using multi-level discrete-time event history analysis. On the supply side, higher economic productivity (measured by GDP), a low unemployment rate and a greater number of small versus large businesses in the district are positively associated with refugees’ transition chances. On the demand side, an increasing number of school leavers with no school-leaving certificate and of refugees in the district are negatively associated with the respective chances. Our results suggest that spatial characteristics essentially matter for young refugees’ training opportunities and thus support recommendations to reform current distribution policies, in which central spatial contextual factors remain largely disregarded.These are the replication files for the article “Place of Residence Does Matter for Educational Integration: The Relevance of Spatial Contexts for Refugees’ Transition to VET in Germany”. The analyses were based on the IAB-BAMF-SOEP Survey of Refugees as well as administrative data on the district level (NUTS-3) provided by the Federal Statistical Office and the statistical offices of the federal states of Germany.
Abstract: For the mostly young refugees who arrived in Germany around 2015/2016, completing vocational education and training (VET) represents the most promising opportunity for professional and social integration. However, access opportunities to VET are characterized by spatial inequalities: German districts vary considerably according to labour market structure, economic productivity and demographic development, which constitute the supply and demand for training places in the dual VET sector, to which refugees predominantly have access. This paper examines if the transition chances of young refugees aged 18–30 to VET depend on their place of residence. For this, we analysed the IAB-BAMF-SOEP Survey of Refugees (n = 5216) using multi-level discrete-time event history analysis. On the supply side, higher economic productivity (measured by GDP), a low unemployment rate and a greater number of small versus large businesses in the district are positively associated with refugees’ transition chances. On the demand side, an increasing number of school leavers with no school-leaving certificate and of refugees in the district are negatively associated with the respective chances. Our results suggest that spatial characteristics essentially matter for young refugees’ training opportunities and thus support recommendations to reform current distribution policies, in which central spatial contextual factors remain largely disregarded
Pune Household Food-Water-Energy Nexus Consumption Survey
No full textThis dataset contains household-level socioeconomic data on food-water-energy nexus consumption collected via a survey conducted in the first quarter of 2020 in the urban areas of the Pune Metropolitan Region in India. The data was collected via door-to-door interviews in the local language using a comprehensive, structured questionnaire.This dataset contains household-level socioeconomic data on food-water-energy nexus consumption collected via a survey conducted in the first quarter of 2020 in the urban areas of the Pune Metropolitan Region in India. The data was collected via door-to-door interviews in the local language using a comprehensive, structured questionnaire
SDCCP 2 - Survey Design of Longitudinal Surveys Before and During the Covid-19 Pandemic
No full textThe data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (SDCCP). The aim of the project was to describe the survey design and data quality of surveys conducted in Germany in the context of the Covid-19 pandemic. The SDCCP 2 data set contains rich metadata and information about survey design for social and behavioral science longitudinal surveys in Germany which conducted data collection both before and during the first two years of the Covid-19 pandemic (March 2020 to December 2021). Through the time comparison of two time periods, the data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" complements the data set “SDCCP 1 – Survey Design and Quality During the Covid-19 Pandemic“ ( https://doi.org/10.7802/2652 ).The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (SDCCP). The aim of the project was to describe the survey design and data quality of surveys conducted in Germany in the context of the Covid-19 pandemic. The SDCCP 2 data set contains rich metadata and information about survey design for social and behavioral science longitudinal surveys in Germany which conducted data collection both before and during the first two years of the Covid-19 pandemic (March 2020 to December 2021). Through the time comparison of two time periods, the data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" complements the data set “SDCCP 1 – Survey Design and Quality During the Covid-19 Pandemic“ ( https://doi.org/10.7802/2652 )
GLES Candidate Study European Election 2024
No full textPolitical background and nomination, election campaign, political issues, democracy and representation, use of social media in election campaignsPolitischer Hintergrund und Nominierung, Wahlkampf, politische Themen, Demokratie und Repräsentation, Nutzung von Social Media im Wahlkamp