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The Summer School on Text Mining (July 16-23 2018) focuses on the conceptual and operational aspects of using large amounts of textual data (e.g., online reviews, social media posts) for academic and managerial research. The school covers the conceptualization and analysis of textual data using natural language processing and data mining methods. Topics covered through the summer school include linguistic theories for business research, text data retrieval (e.g., Twitter), sentiment analysis and machine learning. At the end of the school participants will be able to design studies using textual data and assess its implications in different business fields. The course will be largely based on Knime Analytics, with the inclusion of R programing in specific tasks. The lecturer is Francisco Villarroel Ordenes, Isenberg School of Management, University of Massachusetts.

The Summer School on Experimental Design & Analysis (September 10-14 2018) will train participants to design experimental studies in order to test causal relationships. Specifically, during the course participants will learn about different types of experimental designs, how to manipulate independent variables, and how to enhance the internal validity of their experiments. Participants will be also introduced to statistical analyses of experimental data (e.g., t-test, ANOVA) using SPSS during guided sessions. The lecturer is Irene Scopelliti, Cass Business School, City University London.

All the relevant information concerning programs, fees, application, and other practicalities are available on the website in the sections dedicated to the summer schools.

Best regards,

Nino Miceli
Maria Antonietta Raimondo

Department of Business Administration and Law
University of Calabria, Italy
Campus of Arcavacata
Via P.Bucci
87036 Rende (CS)
Italy
e-mail:
g.miceli@unical.it
ma.raimondo@unical.it