New and Old Data:
Cutting-Edge Approaches to Quantitative Social Research
25-29 March, 2019
Collegio Carlo Alberto
Piazza Arbarello 8, Turin, Italy
The topic for the seventh edition of the ECSR Spring School is "New and Old Data. Cutting-Edge Approaches to Quantitative Social Research". The School is promoted by the European Consortium of Sociological Research (ECSR), Collegio Carlo Alberto and by the universities of Milan and Turin in the frame of the NASP, Network for the Advancement in Social and Political Studies. It provides high-quality training on the new frontiers of quantitative social research, including computational sociology, network analysis, register data, historical archives data and field experiments. The focus of the school is on the challenges coming from the new data sources and from the related techniques to the standard approach of empirical sociological research, still predominantly based on the estimation of regression-type models on survey data.
A limited number of doctoral students and young researchers will participate in a five-day, full-immersion course, including lectures on the key topics in the field - both conceptual and methodological -, workshops and the opportunity to present their work and have it discussed by leading scholars in the field.
The School is organized by Gabriele Ballarino (University of Milan), Fabrizio Bernardi (European University Institute) and Filippo Barbera (Collegio Carlo Alberto and University of Turin).
Lectures will be given and presentations discussed by Guido Alfani (Bocconi University), Gabriele Ballarino, Fabrizio Bernardi, Federico Bianchi (University of Brescia), Gunn Birkelund (University of Oslo), Stefano Cantalini (University of Milan), Diego Gambetta (Collegio Carlo Alberto), Martin Hällsten (University of Stockholm), Krzysztof Krakowski (European University Institute), Nazareno Panichella (University of Milan), Wojtek Przepiorka (University of Utrecht), Flaminio Squazzoni (University of Milan), Arnout van de Rijt (Utrecht University) and Sonja Vogt (University of Bern).
