Concept development and improving operationalization of political trust and affective polarization.
Enhance the general knowledge on political trust, including the factors determining changes in political trust and affective polarization.
Providing countermeasure activities to enhance political trust, paying special attention to communication strategies and content.
Providing countermeasure activities to enhance political moderation, paying special attention to communication strategies and content.
Understanding the effect of illiberal and anti-elite discourses in political trust, with special attention to countries where successful political actors have reached important levels of support.
Understanding the interplay between affective polarization and political trust.
Understanding the interplay between affective polarization and support to illiberal and right-wing extremism and populist parties.
Understanding the effect of certain emotions and personality features have on political trust, especially in the context of illiberal and anti-elitist political discourses.
Improve methodologically the intersection of survey data, experiments and the collection of big data.
The development of artificial intelligence and deep reinforcement learning in the analysis of political trust and affective polarization.
Contribute to the field of comparative survey methodology via empirical assessments of the most recent developments on line survey data.
The creation of an unique dataset combining different and innovative mixed methods in five countries (three from Southern Europe and 2 from Latin America) that will be available to the scientific and expert communities.
Synergies between the academic and private sectors in the development of algorithms and artificial intelligence to create political trust and political moderation.
Synergies and collaboration between data engineers, survey methodologists and practitioners, political scientists and expert in public opinion, and experts in communication.