summer school research method social sciences

The Summer Schools on Research Methods for Social Sciences, organized by SDIPA from 2006 to 2012, and by the Department of Business Administration and Law of the University of Calabria from 2013, have gradually earned a role of leadership in the training of PhD students, post-doc researchers, assistant professors and other academics in Europe. 

The Summer Schools aim at presenting, discussing and sharing theories and applications of state-of-the-art research methods for the social sciences, with a strong emphasis on immediate applicability of models and techniques to specific research problems.

 

The program of the 2018 Summer Schools taught in English is the following:

Text mining (July 16-20 2018)

Lecturer: Francisco Villarroel Ordenes (University of Massachusetts Amherst, Isenberg School of Management)

Entry skills required: none

Program outline

- Introduction to text mining: At the intersection between big data and linguistics

- Natural Language Processing: Syntax, semantics and data preprocessing

- Dictionary approaches: Use of existing dictionaries and development of customized ones

- Supervised learning: Classifications of documents into predefined categories

- Unsupervised approaches: Text clustering and topic extraction

- Application exercises with Knime Analytics and R

 

Experimental Design & Analysis (September 10-14 2018)

Lecturer: Irene Scopelliti (Cass Business School, London)

Entry skills required: none

Program outline

- Introduction to experimental design: correlation, causation, experimental vs. descriptive research

- Lab experiments, field experiments, quasi-experiments

- Manipulation of independent variables: manipulation checks, confounds, demand effects

- Moderation and mediation effects

- Statistical analysis of experimental data: t-test, ANOVA, ANCOVA, spotlight analysis, mediation analysis

- Applications with SPSS

 

Participants to each school may earn 2 ECTS
Available seats: min 8, max 30
Timing: Start on Monday, 9.30 am / End on Friday, 4.30 pm

 

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