Objective
Political representation links geography and citizens voices. In recent years, citizens have used their voices to channel their grievances about being left behind. Events such as Trumps election, Brexit, the French Yellow Vests, and the rise of extreme-right across Europe motivated researchers to investigate the causes and consequences of geographic divides in contemporary democracies.
However, most theoretical frameworks examining the interplay between geography and representation are rooted in the political, economic, historical, and sociological experience of the United States. Unlike the U.S. most European democracies employ proportional electoral systems, have strong political parties, stronger redistributive politics, and different urban organizations. Cities are denser, less segregated, and have more public transportation.
The primary motivation for this project is to break new ground by developing a theoretical framework grounded on the institutional, socioeconomic, and historical trajectories of proportional European democracies. I analyze representation at the level it takes place: the electoral district. The complexity of electoral districts in European proportional democracies forces legislators into difficult trade-offs. SEE will (1) map representation inequalities inside electoral districts; (2) understand legislators' choices based on their preferences, biases, and partisan constraints; (3) identify and analyze the implications of legislators choices on citizens attitudes and reactions to representation; (4) create a theoretical and empirical framework to examine representation in the suburbs.
SEE will use a comparative and integrative multi-method approach to meet its goals with a sequential integration of cross-sectional observational data, elite and mass survey experiments, and focus groups in a diverse set of six European proportional democracies: Austria, Denmark, Poland, Portugal, Spain, and Sweden.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social sciencespolitical sciencespolitical transitionselections
- social sciencespolitical sciencesgovernment systemsdemocracy
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
28006 Madrid
Spain