Marta GALLINA

Associate Professor in Political Science

Marta GALLINA

Associate Professor in Political Science
marta.gallina@univ-catholille.fr

Biography

Marta Gallina is Associate Professor in Political Science with a focus on Quantitative Social Sciences and Digital Politics at the Catholic University of Lille within the European School of Political and Social Sciences (ESPOL). Previously, she worked as postdoctoral researcher in different institutions, such as the Autonomous University of Barcelona in Spain, Waseda University in Japan and the Catholic University of Louvain in Belgium. She received her PhD in Political Science from the Catholic University of Louvain in 2021. Her work appeared in scientific journals such as Political Studies, Swiss Political Science Review, Acta Politica and Regional and Federal Studies.  

Spoken languages

English, French, Italian, Spanish 

Research fields

Political communication, political behaviour, populism, issue dimensionality, political space, opinion consistency, Voting Advice Applications 

Recent publications

  • Camatarri S, Luartz L, Gallina M (2023) Always Silent? Exploring Contextual Conditions for Nonresponses to Vote Intention Questions at the 2020 US Presidential Election. International Journal of Public Opinion Research.  https://doi.org/10.1093/ijpor/edad025
  • Gallina M. (2023) Solving the (false) dilemma: An ecological approach to the study of opinion constraint, Political Studies, https://doi.org/10.1177/00323217221147774.
  • Gallina M. (2022) The concept of political sophistication: labeling the unlabeled. Political Studies Review, https://doi.org/10.1177/14789299221146058.
  • Gallina M. (2022) Mass issue attitudes, political sophistication and ideology: the European case. Acta Politica, https://doi.org/10.1057/s41269-022-00268-1.
  • Camatarri S, Favero A, Gallina M and Luartz L (2022), The electoral behaviour of voters with migration backgrounds and natives at the 2015 and 2019 Swiss National Elections. Two completely different stories?, Swiss Political Science Review, https://doi.org/10.1111/spsr.12508 

Cours enseignés 

  • Applied Statistics (L1) 
  • Methods for digital analysis (M1) 
  • Digital Political Communication (M1) 
  • Digital sociology (M2) 
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