Cristina Chueca Del Cerro

Office: MRC/CSO Social and Public Health Sciences Unit, 99 Berkeley Street, Glasgow, G3 7HR




Research title: Political Polarization and Violence around Independence Movements in Online and Offline Social Networks

Research Summary

Cristina was the first graduate of the Politics with Quantitative Methods MA (SocSci) (Hons) programme, part of Q-Step, at Glasgow University in 2018. Then, she secured a highly competitive funding bid for a 1+3 studentship with the Scottish Graduate School of Social Sciences (SGSSS) to work on political polarization in social media platforms using Advanced Quantitative Methods (AQM). 


During the first year of her studentship, she completed her MRes in Political Communication, with distinction. For her dissertation she developed a theoretical agent-based model of echo chambers on social media platforms, coded in python. The goal being to uncover the necessary network conditions for echo chambers to emerge on social media platforms. She's currently expanding the model for publication.


In 2019 she begun her PhD investigating the impact national identity online polarization has on independence movements protest mobilization. She will be continuing her previous research using agent-based models to understand how polarization develops on online communities around national identity when discussing independence movements as it could lead to the movement's radicalization, increasing intergroup political conflict and consequently protesting. 


Moreover, Cristina is part of the Complexity programme, agent-based modelling group at the MRC/CSO Social and Public Health Sciences Unit, where she is based. At the same time, she is part of the Comparative Politics Research Cluster and the Quantitative Methods Seminar series at School of Social and Political Sciences. 



Chueca Del Cerro, C. (2018) The Capability-Expectation Gap in EU Foreign Policy after the Lisbon Treaty, E-International Relations Students (link), undergraduate essay

Social Identity Model of Protest Emergence (SIMPE), an agent-based model - In progress


1+3 Advanced Quantitative Methods (AQM) Award - Scottish Graduate School of Social Sciences (SGSSS) 2018-2022

Travel scholarships for EuroCSS Symposium 2019 Polarization  and Radicalization (Zurich) and for Othering and Polarization Lorenz Workshop 2020 (Leiden, originally).


Presenter - Agent-Based Simulation for social scientist (Summer and Spring), Behave Lab, University of Milan, April and September 2021 (virtual)

Presenter - Othering and Polarization Lorenz Workshop 2020, June 2020 (virtual)

Presenter - European Symposium on Computational Social Science (EuroCSS) on Polarization and Radicalization, September 2019, Zurich, Switzerland


Graduate teaching assistant (Sep - Jan 2020-2021) for Measuring your social world (QM1) (pre-honors level) and Quantitative Methods (SPSS Quants) (honors level) courses.

Due to her role as a GTA, Cristina received University's Rewarding Contribution Team Award 2021/22, Social and Public Policy UG team, University of Glasgow


Additional Information

Her primary coding skills are on NetLogo and Python, basis for the agent-based models she has developed for the MRes and PhD projects. Code available at her github account, currently work in progress.

Additionally, Cristina developed two R Shiny Apps using the Scottish Index of Multiple Deprivation (SIMD) and the British Election Survey as part of her Q-Step Internship (2018-2019). These have been used by the School of Social and Political Sciences at engagement events with prospective students and highschoolers. The goal of these apps is to teach students about statistics in an accessible and friendly manner. Students can manipulate the data, run statistical tests and create graphs to their desired as well as exploring the results of those choices. These are also available on her github account.