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Title Bolstering Policy Support for Disadvantaged Groups Through Humanization Author Findor Andrej Co-authors Hruška Matej Hlatky Roman Dvorská Alexa Hrustič Tomáš 1978- SAVETNOL - Ústav etnológie a sociálnej antropológie SAV Bošelová Zuzana Buchel Ondrej 1986- SAVSOCIO - Sociologický ústav SAV Source document Social Psychological and Personality Science. Vol. 15, Issue 2 (2024), pp. 111-124 Category ADMA - Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2024 DOI 10.1177/19485506231167494 File name Access Size Downloaded Type License bolstering-policy-support-for-disadvantaged-groups-through-humanization.pdf available 2.2 MB 2 Publisher's version 
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Title Social and moral psychology of COVID-19 across 69 countries Author Azevedo Flavio Co-authors Pavlovic Tomislav Rego Gabriel G. Ay F. Ceren Gjoneska Biljana Buchel Ondrej 1986- SAVSOCIO - Sociologický ústav SAV Source document Scientific Data. Vol. 10, no. 1 (2023), art. no. 272 Category ADMA - Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2023 DOI 10.1038/s41597-023-02080-8 URL URL link article
Title Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning Author Pavlovič Tomislav Co-authors Azevedo Flavio De Koustav Riaňo-Moreno Julián Maglič Marina Buchel Ondrej 1986- SAVSOCIO - Sociologický ústav SAV Source document PNAS Nexus. Vol. 1, no. 3 (2022), pgac093 Category ADEB - Scientific papers in other foreign journals not registered in Current Contents Connect without IF (non-impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2022 DOI 10.1093/pnasnexus/pgac093 URL URL link File name Access Size Downloaded Type License Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.pdf Neprístupný/archív 8.6 MB 2 Publisher's version article