Michele Scotto di Vettimo

Michele Scotto di Vettimo

Research Associate

King's College London

About me

I am a Research Associate/Leverhulme Early Career Fellow in the Department of Political Economy at King’s College London. Previously, I worked as Research Fellow in the Department of Social and Political Sciences at the University of Exeter.

I obtained my PhD in Political Science from the King’s College London, and hold a BA in Political Science and MAs in Management of Public Administrations and European Affairs. I am also member of the Italian Political Science Association (SISP) and of the Political Science Association of the United Kingdom (PSA).

I study public opinion - particularly public support for EU integration - and the responsiveness of non-majoritarian institutions and of the EU policy-making process. I am particularly interested in methodologies like quantitative text analysis, machine learning algorithms and item response approaches.

Interests
  • Comparative politics
  • Political economy
  • European Union
  • Public opinion
  • Quantitative text analysis
Education

  • PhD in Political Science, 2022

    King's College, London

  • MSc in Public Administrations, 2016

    Bocconi University, Milan

  • MA in European Affairs, 2016

    SciencesPo, Paris

  • BA in Political Science, 2014

    University of Naples

Publications

Christel Koop, Michele Scotto di Vettimo (2024). Non-majoritarian institutions, media coverage, and 'reinforced accountability'. Governance, 37(2): 599-617.

Article Data Blogpost

Daniel Devine, Jessica Smith, Viktor Valgarðsson, Will Jennings, Michele Scotto di Vettimo, Hannah Bunting, Lawrence McKay (2024). Political trust in the first year of the COVID-19 pandemic: A meta-analysis of 67 studies. Journal of European Public Policy, 31(3): 657-679.

Article

Christel Koop, Michele Scotto di Vettimo (2023). Do the media scrutinise central banking? Evidence from the Bank of England. European Journal of Political Economy, 77, 102296.

Article Data Blogpost

Michele Scotto di Vettimo (2022). Measuring public support for European integration using a Bayesian IRT model. European Union Politics, 23(2): 171-191.

Article Data Blogpost

Working papers

If you would like to get access to the latest version of a paper, feel free to send me an e-mail.

Research contexts conducive to the bias in the estimates with VAA-generated data
Whom do you serve? A comparative analysis of mass-elite congruence between voters, business and political elites (2007 – 2017)
Research challenges and training needs in text analysis for social science research
Italian-style Putinverstehen: Support for Putin among Italian voters
Do central bank communication and outreach affect public attitudes towards the organisation? Evidence from a survey experiment
Do societal priorities matter for the agenda of independent central banks?
Multi-level politics in action: How national elections make European policies more responsive

Projects

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All European Union Public opinion Political texts

An R function to scrape data on EU laws (scRapEU)

This project presents an easy to use R function to automatically download key data and textual information on EU laws from the European Parliament’s Legislative Observatory and EUR-Lex websites.

R code Documentation

Tracking Euroscepticism (across time and space)

This post aims at tracking the level of support for European integration over a very long time frame in all the member states of the European Union. It covers the overall support for the European Union and to the support for European integration in the areas of asylum and immigration policies, fiscal and economic affairs, internal market and consumer policies; and social and welfare policies.

A survey of the research challenges and training needs in text analysis for political science research

This online survey assessed the research challenges, training needs and preferences of researchers and practitioners (of all seniority and skills level) that use or are interested in using text analysis techniques in their research. The survey has been conducted within the context of the Horizon 2020 OPTED project.

Data Documentation

Teaching

Past teaching activity

Teaching assistant

  • Introduction to Social Data, University of Exeter, (2023-2024)
  • Data Analysis for Social Sciences, University of Exeter, (2022-2023)
  • Introduction to Political Sciences, King’s College London, (2018-2021)
  • Comparative Political Systems, King’s College London, (2018-2021)
  • Integration of the European Union, King’s College London, (2018-2020)

Dissertation supervisor

  • Undergraduate, University of Exeter, (2022-2023)

Contacts