Michele Scotto di Vettimo

Michele Scotto di Vettimo

Postdoctoral Research Fellow

University of Exeter

About me

I am a Postdoctoral Research Fellow in the Department of Social and Political Sciences at the University of Exeter, where I work on the OPTED (Observatory for Political Texts in European Democracies), PRECEDE (Populism’s Roots: Economic and Cultural Explanations in Democracies of Europe) and TWICEASGOOD projects.

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

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.

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



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.

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.


Current academic year

Teaching assistant

  • Introduction to Social Data, University of Exeter, (2023-2024; module page)

Past teaching activity

Teaching assistant

  • 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)