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DTSTART;TZID=Europe/Zagreb:20221208T130000
DTEND;TZID=Europe/Zagreb:20221208T180000
DTSTAMP:20260505T115039
CREATED:20250313T105023Z
LAST-MODIFIED:20250408T123708Z
UID:2139-1670504400-1670522400@www.crossda.hr
SUMMARY:GESIS Meet the experts: “Linking surveys with electoral integrity assessments to explain political trust”
DESCRIPTION:This talk presents a linking approach that combines expert assessments on electoral integrity with survey data to study how electoral integrity affects the way in which election results translate into citizen attitudes towards the political system. It introduces a causal mechanism that links political losing to political trust via evaluations of electoral fairness: citizens who voted for the losing camp are more likely to view the electoral process as unfair than citizens who voted for the winning camp\, resulting in political distrust. It further suggests that the effects of political losing depend on the level of electoral integrity. In conditions where elections are conducted in a free and fair manner\, even those who voted for the losing camp have little reason to suspect foul play. Whenever there are actual indications of electoral malpractice\, however\, political losers have much more reason to doubt the integrity of the electoral process than those who are content with the election outcome. The analysis makes use of a unique dataset that ex-post harmonizes survey data from three cross-national survey projects (Asian Barometer Survey\, European Social Survey\, Latinobarómetro) and links this survey data with expert assessments of electoral integrity provided by the Varieties-of-Democracy (V-Dem) project to cover 45 democracies in Europe\, East Asia\, and Latin America. The talk details how respondents (in the survey data) were matched to elections (in the V-Dem data) and discusses challenges arising from survey fieldwork periods not being aligned with election cycles. \nSpeaker: \nDr. Marlene Mauk
URL:https://www.crossda.hr/event/gesis-meet-the-experts-linking-surveys-with-electoral-integrity-assessments-to-explain-political-trust/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20221212T123000
DTEND;TZID=Europe/Zagreb:20221212T180000
DTSTAMP:20260505T115039
CREATED:20250313T105023Z
LAST-MODIFIED:20250408T123708Z
UID:2138-1670848200-1670868000@www.crossda.hr
SUMMARY:1st ISSP User Conference “Social Inequality”
DESCRIPTION:Since 1986\, the ISSP has provided high-quality data on attitudes and behaviors on important societal issues such as family\, health\, work\, religion\, the role of government\, social inequality\, the environment\, national identity and citizenship\, social networks\, or leisure and sports. \nThe newly launched ISSP User Conference Series is designed to provide a platform for the various global research activities based on cross-national ISSP data. It aims to stimulate exchanges between individual researchers\, to expand the ISSP research community\, to increase the ISSP’s visibility and to inform the global policy discussions on important societal issues. \nThe ISSP User Conference will be held once a year and will focus on a different main theme each year\, starting with Social Inequality in 2022.
URL:https://www.crossda.hr/event/1st-issp-user-conference-social-inequality/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20221213T181500
DTEND;TZID=Europe/Zagreb:20221213T181500
DTSTAMP:20260505T115039
CREATED:20250313T105023Z
LAST-MODIFIED:20250408T123708Z
UID:2137-1670955300-1670955300@www.crossda.hr
SUMMARY:Reproducibility and confidential or proprietary data: can it be done?
DESCRIPTION:CRRESS invites you to join our December webinar “Reproducibility and confidential or proprietary data: can it be done?“. Paulo Guimarães (Banco de Portugal\, BPLIM)\, John Horton (MIT)\, Lars Vilhuber (Cornell University) compose the panel. Aleksandr Michuda (Cornell University) will moderate the session. \nThe fourth panel of CRRESS\, The Conference on Reproducibility and Replicability in Economics and the Social Sciences\, will be held on December 13\, 2022. Exceptionally\, we begin at 12:15 PM Eastern Time\, earlier than other series sessions. \nRegister to join the session on Zoom. \nWhat happens to reproducibility when data are confidential or proprietary? Many journals can only ask that detailed access procedures be provided in a ReadMe file\, but what mechanisms could be used to conduct computational reproducibility checks on such data? Should authors temporarily share their data with the journal for the purposes of reproducibility verification\, even if they are not part of the public data replication package? Is it feasible to use a network of “insiders” to run code provided as part of a data replication package to assess reproducibility? Could a “certified run” be used? \nThe Conference on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS) is a monthly series of virtual and in-person panels on the topics of reproducibility\, replicability\, and transparency in the social sciences. Each month\, a panel of experts will discuss a particular topic with relevance to the overall theme of reproducibility and transparency. We invite anyone with an interest in social science research to attend.  \nCRRESS is led by Lars Vilhuber and Aleksandr Michuda\, Cornell University\, who organize the panels together with Ian Schmutte (UGA) and Marie Connolly (UQAM). Funding by the National Science Foundation is gratefully acknowledged. Participation is free\, but registration is required. Learn more at https://labordynamicsinstitute.github.io/crress/.
URL:https://www.crossda.hr/event/reproducibility-and-confidential-or-proprietary-data-can-it-be-done/
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