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TRANSNATIONAL

Financiado

The Transnational Divide Local Triggers Social Networks and Group Identities

TRANSNATIONAL seeks to explain a surprising and consequential feature of contemporary democratic politics—the intensity of polarization on immigration, Europe, and climate change. While recent research has made impressive advances... ver más

30/06/2026

BIBLIOTECA NAZIONA...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

BIBLIOTECA NAZIONALE CENTRALE FIRENZE No se ha especificado una descripción o un objeto social para esta compañía.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-07-14

ERC-2019-ADG: ERC Advanced Grant

I+D

Cerrada hace 5 años

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2 Participantes

BIBLIOTECA NAZIONALE CENTRAL...

2.50M€ | Lider

LABORATORIO ANALITICO BIOCLI...

150.41K€ | Participante

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Duración del proyecto: 71 meses Fecha Inicio: 2020-07-14
Fecha Fin: 2026-06-30

Líder del proyecto

BIBLIOTECA NAZIONALE CENTRALE FIRENZE No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 2M€

Descripción del proyecto TRANSNATIONAL seeks to explain a surprising and consequential feature of contemporary democratic politics—the intensity of polarization on immigration, Europe, and climate change. While recent research has made impressive advances in understanding individual attitudes and party-political competition, there is currently no empirically verified theory of how a person’s social context shapes their response to issues that arise on the political agenda. Without such a framework we cannot understand the rising incidence of group solidarity and affective polarization in our societies. TRANSNATIONAL combines insights from the literatures concerned with networks and identity formation to theorize the social contexts in which people respond to major events. This approach provides a micro-social foundation for Lipset & Rokkan’s classic cleavage analysis and offers the prospect of a unified theory of political conflict. TRANSNATIONAL gains inferential leverage in the face of causal complexity by linking national surveys, natural experiments, and semi-structured interviews in three modules. The first module provides a comparative frame by conducting a cross-sectional survey of political attitudes, identities, and digital and face-to-face networks on the transnational divide in six countries. Modules 2 and 3 drill down by devising natural experiments that allow deep investigation of how local populations respond to a specific situational trigger. These are a) spatial proximity to refugee housing; b) the variable effect on UK localities of exit from the EU; c) new climate impact scores that differentially affect rural and urban localities.

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