Cristina Chueca Del Cerro

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

E-Mail: c.chueca-del-cerro.1@research.gla.ac.uk

ORCID iD: https://orcid.org/0000-0002-7170-3067

LinkedIn: www.linkedin.com/in/cristina-chueca-del-cerro

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. She will be continuing her previous research using agent-based models to understand how polarization develops on online communities discussing independence movements as it could lead to the movement's radicalization, increasing intergroup political conflict. 

 

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.

 

Publications

The Capability-Expectation Gap in EU Foreign Policy after the Lisbon Treaty – E-International Relations Students (link)

Grants

SGSSS Advanced Quantitative Methods (AQM) Award

Conference

Presenter - Agent-Based Simulation for social scientist (Spring 2021), BAHEAVE LAB, Univeristy of Milan, virtually on Zoom

Presenter- Othering and Polarization Lorenz Workshop 2020 , virtually on Zoom

Presenter - EuroCSS Symposium 2019 Polarization and Radicalization, Zurich, Switzerland

Teaching

Cristina was a teaching assistant for the undergraduate Quantitative Methods honours course at SSPS and the Q-step pre-honours course of Measuring your social world (QM1) during the 2020/2021 academic year. 

Additional Information

Cristina has built 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.

Additionally, she programs in Python and NetLogo