Antonio Calcagnì

University of Padova

Research
Talks
█ Teaching
Contacts

In my courses, I focus on statistics and data analysis for the social and behavioral sciences.

Thesis supervision

I welcome motivated students interested in thesis work at the intersection of statistics, computational modeling, and soft computing, particularly in contexts involving fuzzy data, text mining, or network analysis. Topics I supervise typically focus on the development or application of statistical methods for handling imprecise, complex, or multi-source data, with potential use cases ranging from survey research to textual and digital data analysis. Undergraduate and prospective PhD student looking for thesis supervision can either join an ongoing project or develop a research topic of their own. For any further information contact me directly.

Selected teaching materials

Disclaimer: These materials are provided as is, with no guarantee of completeness or accuracy. Please note that some content is in Italian. For corrections or questions, don't hesitate to get in touch.

Data Visualization with R (EN)
Type: Graduate, MSc at University of Padova
Academic Year: [24-25]

Social Network Analysis (An introduction) (EN)
Type: Post-Graduate, Master's degree at University of Salento
Academic Year: [23-24]

PSQ1096299 Statistical methods and data analysis in psychology (EN)
Type: Graduate, MSc at University of Padova
Academic Year: [21-22] [23-24]

PSP6075525 Statistical methods in psychometrics (IT)
Type: Undergraduate, BSc at University of Padova
Academic Year: [19-20] [20-21] [21-22] [22-23] [23-24]

Analysis of uncertain data (EN)
Type: Graduate, MSc at Warsaw University of Technology
Academic Year: [23-24] [24-25]

Basics of statistical inference with R (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [22-23]

Basics of programming and applications with R (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [20-21] [21-22]

GLMs: Case studies (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [20-21] [21-22]