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Find information about social science research data, publications on research data as well as open access publications.
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Contact: suche@gesis.org
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The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2652
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, data quality, survey research, data capture, epidemic, comparison of methods, methodological research
Date(s) of Data Collection: 2022-09; 2023-05
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative surveys in the field of social sciences or health targeting large parts of the general population between March 1, 2020 and December 31, 2021 in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Glasenapp, Karolina von; GESIS - Leibniz-Institut für Sozialwissenschaften, Skora, Thomas; GESIS - Leibniz-Institut für Sozialwissenschaften, Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften, Naumann, Elias; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2652
Study number: SDN-10.7802-2652
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2652
Publications: Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x, Skora, Thomas, & von Glasenapp, Karolina (2024). Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2759
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: 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" (S ... more
Abstract: 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" (S ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, epidemic, data quality, survey research, data capture, comparison of methods, methodological research, longitudinal study
Date(s) of Data Collection: 2022-09; 2024-03
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative longitudinal surveys in the field of social sciences or health targeting large parts of the general population with data collection before and during (i.e. between March 1, 2020 and December 31, 2021) the Covid-19 pandemic in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Skora, Thomas; GESIS, Glasenapp, Karolina von; GESIS, Gummer, Tobias; GESIS, Bartholomäus, Saskia; GESIS, Naumann, Elias; GESIS
Publication year: 2024
DOI: 10.7802/2759
Study number: SDN-10.7802-2759
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2759
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2639
Abstract: Im Zuge der Corona-Krise keimten vermehrt öffentliche Diskussionen zum Begriff der „systemrelevanten Berufe“ auf. Im Anschluss an diese Diskussionen verfolgte dieses Fors ... more
Abstract: Im Zuge der Corona-Krise keimten vermehrt öffentliche Diskussionen zum Begriff der „systemrelevanten Berufe“ auf. Im Anschluss an diese Diskussionen verfolgte dieses Fors ... more
Availability: Restricted Access
Subject area: [Sociology [=] Employment Research]
Topics: Occupational status, Coronavirus, Regulation, Occupation, Occupational research, social recognition, regulation
Date(s) of Data Collection: 2021-02; 2021-03, 2021-03; 2021-03
Geographic coverage: [Germany / DE]
Universe: Erwerbsbevölkerung der Bundesrepublik Deutschland
Temporal Research Design: cross-section
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Notes: Das Projekt wurde gefördert durch das Bundesministerium für Arbeit und Soziales (BMAS) und das Fördernetzwerk für interdisziplinäre Sozialforschung (FIS)
Primärforschende, Institution: Babst, Axel; Universität Tübingen, Groß, Martin; Universität Tübingen, Lang, Volker; Universität Tübingen
Publication year: 2023
DOI: 10.7802/2639
Study number: SDN-10.7802-2639
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2639
Publications: Groß, M., Babst, A. und Lang, V. 2021. Die Auswirkung der Corona-Krise auf berufliche Anerkennung und Compliance mit Anti-Corona-Maßnahmen. SozBlog - Blog der Deutschen Gesellschaft für Soziologie (DGS): 2021/12. Verfügbar unter: https://blog.soziologie.de/2021/12/die-auswirkung-der-corona-krise-auf-berufliche-anerkennung-und-compliance-mit-anti-corona-massnahmen/, Groß, M., Lang, V. und Babst, A. 2022. Die Rolle beruflicher Anerkennung für die Akzeptanz von Corona-Schutzmaßnahmen. Deutsches Institut für Interdisziplinäre Sozialpolitikforschung (DIFIS)-Impuls: 2022/3. Verfügbar unter: https://difis.org/institut/publikationen/publikation/17, Lang, V., Jütersonke, S., Babst, A. und Groß, M. 2023. Aufwertung durch verschworenes Misstrauen? Analysen zum Einfluss sozialer Identitätsbedrohungen auf gesellschaftliche Kohäsion. In: Paula-Irene Villa (Hg.). Polarisierte Welten. Verhandlungen des 41. Kongresses der Deutschen Gesellschaft für Soziologie 2022 in Bielefeld. Verfügbar unter: https://publikationen.soziologie.de/index.php/kongressband_2022/article/view/1714/1916, Babst, A., Groß, M. und Lang, V. 2023. Occupational recognition during the Covid pandemic: differences among occupational groups and the association with compliance with infection control measures. Zeitschrift für Sozialreform (Journal of Social Policy Research), im Erscheinen.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2487
Abstract: The PERITIA survey is the first major cross-national survey of public trust in expertise used to inform policy making on climate change and COVID-19.
While the main foc ... more
Abstract: The PERITIA survey is the first major cross-national survey of public trust in expertise used to inform policy making on climate change and COVID-19.
While the main foc ... more
Availability: Free access (with registration)
Subject area: [Social Policy [=] Ecology, Environment [=] Political Science [=] Sociology]
Topics: Climate change, Climate policy, Coronavirus, Confidence, Experts, climate change, trust, expertise, Europe
Date(s) of Data Collection: 2022-01; 2022-01, 2022-02; 2022-05
Geographic coverage: [United Kingdom of Great Britain and Northern Ireland / GB [=] Ireland / IE [=] Italy / IT [=] Germany / DE [=] Poland / PL [=] Norway / NO [=] Armenia / AM]
Universe: General Population
Sampling Procedure: Non-probability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Duffy, Bobby; The Policy Institute, King's College London, Hewlett, Kirstie; The Policy Institute, King's College London, Paturyan, Yevgenya; American University of Armenia, Benson, Rebecca; The Policy Institute, King's College London
Publication year: 2023
DOI: 10.7802/2487
Study number: SDN-10.7802-2487
Contributor, Institution, Role: [Stoneman, Paul; The Policy Institute, King's College London (Project Member) [=] Wright, James; The Policy Institute, King's College London (Project Member) [=] Baghramian, Maria; University College Dublin (Project Leader) [=] Hall, Suzanne; The Policy Institute, King's College London (Project Member) [=] Amirkhanian, Alen; American University of Armenia (Project Member)]
Project funder: European Commission
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2487
Version history:
| Version number | Changes in this version |
|---|---|
| 1.0.0 (aktuelle Version) | 2023-02-10 https://doi.org/10.7802/2487 |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2627
Abstract: The data were collected in the research project "Political cohesion under conditions of fiscal scarcity - German federalism in the time of COVID-19" (funded by Volkswagen ... more
Abstract: The data were collected in the research project "Political cohesion under conditions of fiscal scarcity - German federalism in the time of COVID-19" (funded by Volkswagen ... more
Availability: Free access (without registration)
Subject area: [Political Science [=] Political System, Constitution, Government]
Topics: Federalism, Parliament, Parliamentary system, Political party, Multi-level governance, Coronavirus, Content analysis, Party system, Crisis management, Political system, Bundestag, federalism, content analysis, party system, multi-level system, crisis communication, political behavior
Date(s) of Data Collection: 2020-02; 2021-09
Geographic coverage: [Germany / DE]
Geographic coverage (free): [Baden-Württemberg [=] Bayern [=] Berlin [=] Brandenburg [=] Bremen [=] Hamburg [=] Hessen [=] Mecklenburg-Vorpommern [=] Niedersachsen [=] Nordrhein-Westfalen [=] Rheinland-Pfalz [=] Saarland [=] Sachsen [=] Sachsen-Anhalt [=] Schleswig-Holstein [=] Thüringen]
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Kropp, Sabine; Freie Universität Berlin, Souris, Antonios; Freie Universität Berlin, Nguyen, Christoph; Freie Universität Berlin
Publication year: 2023
DOI: 10.7802/2627
Study number: SDN-10.7802-2627
Project funder: VolkswagenStiftung
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2627
Publications: Souris, Antonios, Sabine Kropp, and Christoph Nguyen: "Attributing blame: How political parties in Germany leverage cooperative federalism" (West European Politics), https://doi.org/10.1080/01402382.2023.2274719
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2364
Other Title (type): Corona-Online-Meinungs-Panel-Survey-Spezial (Subtitle), infratest dimap CoronaCOMPASS (Alternative title)
Abstract: COMPASS ist ein von infratest dimap im März 2020 initiiertes, befragungsbasiertes längsschnittliches Indikatorensystem zum Monitoring von Betroffenheit, Einstellungen und ... more
Abstract: COMPASS ist ein von infratest dimap im März 2020 initiiertes, befragungsbasiertes längsschnittliches Indikatorensystem zum Monitoring von Betroffenheit, Einstellungen und ... more
Availability: Free access (with registration)
License: CC BY-NC 4.0: Attribution – NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: [Social Sciences]
Topics: Coronavirus, Vaccination, Epidemic, public health, political behavior, political attitude, government control
Date(s) of Data Collection: 2020-03; 2021-11
Geographic coverage: [Germany / DE]
Universe: Wahlberechtigte in Deutschland mit Online-Zugang
Sampling Procedure: Mixed probability and non-probability Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Siegel, Nico A.; Infratest dimap Gesellschaft für Trend- und Wahlforschung
Publication year: 2022
DOI: 10.7802/2364
Study number: SDN-10.7802-2364
Contributor, Institution, Role: [Spinner, Christian; Infratest dimap Gesellschaft für Trend- und Wahlforschung (Project Manager) [=] Wagner, Gert G. (Related Person)]
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2364
Publications: Huebener, M., Spieß, C. K., Siegel, N. A., & Wagner, G. G. (2020). Wohlbefinden von Familien in Zeiten von Corona: Eltern mit jungen Kindern am stärksten beeinträchtigt. DIW Wochenbericht, (30/31), 527-537., Huebener, M., Waights, S., Spiess, C. K., Siegel, N. A., & Wagner, G. G. (2021). Parental well-being in times of Covid-19 in Germany. Review of Economics of the Household, 19(1), 91-122., Huebener, M., & Wagner, G. G. (2021). Unterschiede in Covid-19-Impfquoten und in den Gründen einer Nichtimpfung nach Geschlecht, Alter, Bildung und Einkommen (No. 1968). DIW Discussion Papers., Rebitschek, F. G., Ellermann, C., Jenny, M. A., Siegel, N. A., Spinner, C., & Wagner, G. G. (2021). How skeptics could be convinced (not persuaded) to get vaccinated against COVID-19., Danzer, N., Huebener, M., Pape, A., Spiess, C. K., Siegel, N. A., & Wagner, G. G. (2021). Cracking under pressure? Gender role attitudes toward maternal employment in times of a pandemic (No. 1951). DIW Discussion Papers., Wegwarth O, Wagner GG, Spies C, Hertwig R. Assessment of German Public Attitudes Toward Health Communications With Varying Degrees of Scientific Uncertainty Regarding COVID-19. JAMA Netw Open. 2020;3(12):e2032335.
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2375
Other Title (type): Includes a subset of the data set "COVID-19 and Social Inequality - Panel" (Untertitel)
Abstract: COVID-19 vaccination rates slowed in many countries during the second half of 2021, along with the emergence of vocal opposition, particularly to mandated vaccinations. W ... more
Abstract: COVID-19 vaccination rates slowed in many countries during the second half of 2021, along with the emergence of vocal opposition, particularly to mandated vaccinations. W ... more
Availability: Free access (without registration)
License: CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)
Subject area: [Wirtschaftswissenschaften [=] Soziologie [=] Psychologie [=] Politikwissenschaft]
Topics: Coronavirus, Politikberatung, confidence, freedom, political control, vaccination, intrinsic motivation, policy approach, social norm, policy implementation
Date(s) of Data Collection: 2020-04-29; 2020-05-08, 2020-10-28; 2020-11-06, 2021-05-05; 2021-05-18
Geographic coverage: Germany / DE
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Nicht-WahrscheinlichkeitsauswahI - Quotenstichprobe
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Notes: Our data set is a subset of a large data set from the project "COVID-19 and Social Inequality" of the Cluster of Excellence "The Politics of Inequality" at the University of Konstanz, containing not only our module on support for voluntary vs. enforced COVID-19 vaccination, but also modules from other researchers. The full data set titled "COVID-19 and Social Inequality - Panel" along with the codebook will also be deposited at GESIS datorium.
Primärforschende, Institution: Schmelz, Katrin; Universität Konstanz, Bowles, Samuel; Santa Fe Institute
Publication year: 2022
DOI: 10.7802/2375
Study number: SDN-10.7802-2375
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Projektmanager/in) [=] Busemeyer, Marius R.; Universität Konstanz (Andere) [=] Diehl, Claudia; Universtität Konstanz (Andere) [=] Koos, Sebastian; Universität Konstanz (Andere) [=] Hinz, Thomas; Universität Konstanz (Andere) [=] Bertogg, Ariane; Universität Konstanz (Andere) [=] Leuffen, Dirk; Universität Konstanz (Andere) [=] Heermann, Max; Universität Konstanz (Andere) [=] Selb, Peter; Universität Konstanz (Andere) [=] Bellani, Luna; Universität Konstanz (Andere) [=] Mozer, Konstantin; Universität Konstanz (Datenerheber/in)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2375
Publications: Schmelz, K. & Bowles, S. (2022). Opposition to voluntary and mandated COVID-19 vaccination as a dynamic process: Evidence and policy implications of changing beliefs. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 119().;
Dimitrov, Dimitar; Baran, Erdal; Fafalios, PavlosYu, Ran; Zhu, Xiaofei; Zloch, Matthäus; Dietze, Stefan
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2470
Abstract: TweetsCOV19 is a semantically annotated corpus of Tweets about the COVID-19 pandemic. It is a subset of TweetsKB and aims at capturing online discourse about various aspe ... more
Abstract: TweetsCOV19 is a semantically annotated corpus of Tweets about the COVID-19 pandemic. It is a subset of TweetsKB and aims at capturing online discourse about various aspe ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences]
Topics: Semantic web, Coronavirus, twitter, social media, text analysis, discourse, epidemic, contagious disease
Date(s) of Data Collection: 2021-01; 2022-08
Universe: TweetsKB (https://data.gesis.org/tweetskb/)
Notes: More information are available through TweetsCOV19's home page: https://data.gesis.org/tweetscov19
Primärforschende, Institution: Dimitrov, Dimitar; GESIS - Leibniz-Institut für Sozialwissenschaften, Baran, Erdal; GESIS - Leibniz-Institut für Sozialwissenschaften, Fafalios, Pavlos; Institute of Computer Science, FORTH-ICS, Heraklion, Greece, Yu, Ran; GESIS - Leibniz-Institut für Sozialwissenschaften, Zhu, Xiaofei; Chongqing University of Technology, Chongqing, China, Zloch, Matthäus; GESIS - Leibniz-Institut für Sozialwissenschaften, Dietze, Stefan; GESIS - Leibniz-Institut für Sozialwissenschaften & Heinrich-Heine-University Düsseldorf, Germany & L3S Research Center, Hannover, Germany
Publication year: 2022
DOI: 10.7802/2470
Study number: SDN-10.7802-2470
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2470
Publications: Dimitrov, D., Baran, E., Fafalios, F., Yu, R., Zhu, X., Zloch, M., and Dietze, S., TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic, 29th ACM International Conference on Information & Knowledge Management (CIKM2020), Resource Track, ACM 2020
Weber, Florian; Gentile, Raffaela; Reichelt, HannaHorr, Andreas; Taraszow, Tatjana; Springer, Angelina
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2445
Abstract: 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 a ... more
Abstract: 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 a ... more
Availability: Free access (without registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Migration [=] Sociology]
Geographic coverage: [Germany / DE]
Temporal Research Design: Longitudinal (panel study)
Notes: Syntax files to replicate our analyses using NEPS data, adult starting cohort:NEPS Network. (2022). National Educational Panel Study, Scientific Use File of Starting Cohort Adults. Leibniz Institute for Educational Trajectories (LIfBi), Bamberg. https://doi.org/10.5157/NEPS:SC6:13.0.0
Primärforschende, Institution: Weber, Florian; Leibniz-Institut für Bildungsverläufe, Gentile, Raffaela; Leibniz-Institut für Bildungsverläufe, Reichelt, Hanna; Leibniz-Institut für Bildungsverläufe, Horr, Andreas; Leibniz-Institut für Bildungsverläufe, Taraszow, Tatjana; Humboldt-Universität Berlin, Springer, Angelina; Mannheim Centre for European Social Research
Publication year: 2022
DOI: 10.7802/2445
Study number: SDN-10.7802-2445
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2445
Reference publication: Weber, Florian; Gentile, Raffaela; Reichelt, Hanna; Horr, Andreas; Taraszow, Tatjana; Springer, Angelina (2023): Differences in Political Trust between Migrants and Non-Migrants in Pandemic Times. Soziale Welt 74 (1): 146–169. DOI: 10.5771/0038-6073-2023-1-146
Journal name: Soziale Welt
Journal volume: 74
Issue number: 1
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2272
Other Title (type): Includes a subset of the data set "COVID-19 and Social Inequality - Panel" (Subtitle)
Abstract: What is an effective vaccination policy to end the COVID-19 pandemic? We address this question in a model of the dynamics of policy effectiveness drawing upon the results ... more
Abstract: What is an effective vaccination policy to end the COVID-19 pandemic? We address this question in a model of the dynamics of policy effectiveness drawing upon the results ... more
Availability: Free access (without registration)
License: CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de)
Subject area: [Economics [=] Sociology [=] Psychology [=] Political Science]
Topics: Coronavirus, Policy advice, confidence, conformity, freedom, political control, vaccination, intrinsic motivation, policy approach
Date(s) of Data Collection: 2020-04-29; 2020-05-08, 2020-10-28; 2020-11-06
Geographic coverage: [Germany / DE]
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Notes: Our data set is a subset of a large data set from the Covid-19 survey "Living in exceptional circumstances" of the Cluster of Excellence "The Politics of Inequality" at the University of Konstanz, containing not only our module on support for voluntary vs. enforced COVID-19 vaccination, but also modules from other researchers. The full data set titled "COVID-19 and Social Inequality - Panel" along with the codebook will also be deposited at GESIS datorium.
Primärforschende, Institution: Schmelz, Katrin; Universität Konstanz, Bowles, Samuel; Santa Fe Institute
Publication year: 2021
DOI: 10.7802/2272
Study number: SDN-10.7802-2272
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Project Manager) [=] Mozer, Konstantin; Universität Konstanz (Data Collector) [=] Kling, Philipp; Universität Konstanz (Data Manager) [=] Busemeyer, Marius R.; Universität Konstanz (Other) [=] Diehl, Claudia; Universität Konstanz (Other) [=] Bellani, Luna; Universität Konstanz (Other) [=] Koos, Sebastian; Universität Konstanz (Other) [=] Selb, Peter; Universität Konstanz (Other) [=] Hinz, Thomas; Universität Konstanz (Other)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2272
Publications: Schmelz, K. & Bowles, S. (2021). Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 118(25).https://doi.org/10.1073/pnas.2104912118
