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EXTREME SIGNED

The Rise and Fall of Populism and Extremism

Total Cost €

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EC-Contrib. €

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Partnership

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 EXTREME project word cloud

Explore the words cloud of the EXTREME project. It provides you a very rough idea of what is the project "EXTREME" about.

regime    database    examine    propaganda    zipcode    caused    experiences    match    extreme    punishment    seekers    historical    outcomes    educational    behavior    interaction    explains    opportunity    employment    potentially    wwii    germany    resumes    successes    records    resist    extremist    data    schools    job    foreign    parts    environment    predispositions    determinants    individual    1970    politicians    wave    academic    trump    collected    aggregate    period    histories    contemporary    repository    corporal    2010    voting    political    messages    regulations    uk    dataset    economic    supporting    democracies    technological    shape    methodological    social    influenced    people    shocks    nazi    digitize    first    variables    market    bombing    previously    mechanisms    globalization    80s    personal    actively    million    exposure    antisocial    labor    2016    heterogeneity    populism    archival    extremism    combining    regimes    self    empirically    decisions    attainment    stake    treason    agenda    populist    electoral    provides    subsequent    resistance    ukip    brexit    negative    consists    formative   

Project "EXTREME" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD POMPEU FABRA 

Organization address
address: PLACA DE LA MERCE, 10-12
city: BARCELONA
postcode: 8002
website: www.upf.edu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 1˙467˙736 €
 EC max contribution 1˙467˙736 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD POMPEU FABRA ES (BARCELONA) coordinator 1˙467˙736.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

In the recent years in advanced democracies there has been a wave of electoral successes of populist politicians supporting extreme messages. Is populism caused by negative economic shocks? If so, what are the mechanisms? What explains heterogeneity in responses to such shocks? In this project, I will test empirically if personal experiences, information environment, and their interaction with aggregate economic shocks shape people’s political decisions. The project consists of three parts.

First, I will study how personal employment histories, potentially affected by globalization and technological shocks, individual predispositions, and information environment influenced voting for Trump. I will use a unique database of more than 40 million resumes for the period 2010-2016, the largest available repository of resumes of job-seekers in the US, which was not previously used in academic research, and match it with zipcode-level economic and voting variables.

Second, I will study how negative social experiences during the formative years affect subsequent labor market outcomes, antisocial behavior, and the support of populist agenda. I will examine how corporal punishment in schools in UK affected subsequent educational attainment, employment, antisocial behavior, and voting for UKIP and Brexit. I will digitize archival records on regulations and practice of corporal punishment in different educational authorities in the UK during 1970-80s, combining it with contemporary outcomes.

Third, I will examine what makes people actively resist extremist regimes even when it is associated with high personal costs. I will study a historical example of resistance to Nazi regime in Germany during the WWII, which provides unique methodological opportunity to study determinants of resistance to extremism in a high stake environment. I will use a self-collected dataset on treason cases to measure resistance, combining it with data on bombing and exposure to foreign propaganda.

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The information about "EXTREME" are provided by the European Opendata Portal: CORDIS opendata.

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