Antonio Calcagnì
DPSS - University of Padova

   Undergraduate and PhD classes

  • 2019-2020: Psychological testing [undergraduate]    
  • 2019-2020: R, programming and statistics [PhD]    

  • 2019-2020: Psychological testing [undergraduate]    
  • 2019-2020: R, programming and statistics [PhD]    

  • 2018-2019: Laboratory for linear, generalized, and mixed effects models [PhD]  
  • 2018-2019: Generalized linear models and applications with R [PhD]    

  MSc and PhD supervision

    Students may follow an ongoing project or develop a research topic of their own. Research proposals may include (but not limited to):
    1. Applied statistics for behavioral sciences
    2. Bayesian data analysis
    3. Text Mining
    4. Data mining for social media based data
    5. Statistical modeling of cognitive processes
    6. Measuring eye movements through novel statistical approaches (feat. Mario Dalmaso)
    7. Statistical modeling for fMRI based parental brain data (feat. Paola Rigo)

    A list of ongoing/completed theses is available here.

    • Niccolò Cao. Latent Dirichlet Allocation based methods for applied text mining. Bachelor. Ongoing.
    • Samuele Lovera. A functional clustering approach for longitudinal text mining. Bachelor. Ongoing.
    • Federico Berto. A state-space model based representation to factor analysis. Bachelor. Ongoing.
    • Amos Torretta. Data-mining on Instagram photos: A photo-mining approach. Master. Ongoing.

    •   Arianna Biondini
      Transition experience and trans video-blogging: An explorative study based on text mining.
      Master. Completed (2019/12)  

    •   Niccolò Polo
      Text mining applied to gambling tv spots.
      Master. Completed (2019/07)  

    •   Alberto Saccardin
      Latent Semantic Analysis: Methodology and Applications.
      Bachelor. Completed (2019/06)  

    •   Camilla Cappon
      Using text mining to create objective indicators: An example based on Instagram​.
      Bachelor. Completed (2019/06)