I work at the intersection of social research, political behaviour and computational methods, with a particular interest in affective polarization, political communication and digital social research.
My work combines traditional social science methodology with data analysis, visualization and computational approaches to study complex political and social phenomena.
Interactive research application developed in R Shiny to explore political, relational and affective factors associated with extreme affective polarization.
The project combines data preparation, binary logistic regression, model comparison, diagnostic statistics and interactive visualization.
R · Shiny · Logistic Regression · Data Visualization · Computational Social Science
View repository · Live application
Data analysis
R · SPSS · Python · Excel · Power BI
Computational research
APIs · Web scraping · Text analysis · Network analysis · Data visualization
Research methods
Quantitative research · Survey analysis · Qualitative research · Digital research methods
- Affective polarization
- Computational social science
- Political communication
- Digital political behaviour
- Social media analysis
- Disinformation
- Political and social psychology
Building computational tools that make complex social and political data easier to analyse, interpret and communicate.