Margherita Belgioioso,

PhD

Associate Professor of Quantitative
International Relations

School of Politics and International Studies, University of Leeds

Margherita Belgioioso, PhD

Margherita Belgioioso, PhD

School of Politics and International Studies
University of Leeds
Woodhouse, Leeds  LS2 9JT  UK

Teaching Excellence

Modules

  • 2024-2025 Applied Statistics for Political Science (MSC) University of Leeds
  • 2023-2025 Terrorism (MA) University of Leeds
  • 2023-2024. Approaches to Research (BA) University of Leeds
  • 2023-2024 Applied Statistics for Political Science (MA) University of Leeds
  • 2022-2023. Terrorism (BA) University of Leeds
  • 2022-2023. Security Studies (BA) University of Leeds
  • 2021-2022. Conflict resolution and world politics (MA) University of Kent
  • 2021-2022. International conflict and cooperation (BA) University of Kent
  • 2020. Outcomes of Non-Violent Civil Resistance (Ph.D.) PRIO
  • 2019-2020. Research Design in IR (BA) University of Kent
  • 2019. Civil Wars (MA) Scuola Superiore Sant’ Anna di Pisa (in English)
  • 2018-2019. Terrorism Analysis (BA students) Brunel University London
  • 2017-2018. International Security (MA students) Brunel University London
  • 2017-2018. International Relations Theories (BA students) Brunel University London
  • 2018. Research Design and Qualitative Methods in Politics (BA students) Brunel University London
  • 2017. Teaching Assistant for ‘Pooled Time Series Cross-Sectional Analysis’ (BA, MA, PhD laboratory) Essex Summer School in Social Science Data Analysis and Collection, University of Essex
  • 2016. Teaching Assistant for ‘Conflict Analysis’ (BA seminar). Department of Government, University of Essex
  • 2015. Teaching Assistant for ‘International Relations Theories and Approaches’ (BA seminar) Department of Government, University of Essex
  • 2015. Teaching Assistant for ‘Modelling Heterogeneity in Cross-Sectional Panel Data’ (BA, MA, PhD
Students’ Involvement in Research

Students’ Involvement in Research

Reading groups to identify research gaps (see pictures below from reading group in 2020 at the university of Kent) Coding new data  PGR Students presentations

Demonstrations

Demonstrations

Peace Processes Negotiations simulations Engagement with Practitioners

Simulations

Simulations

Hands on descriptive statistics  Datasets exploration