Session 7 - Spring 2023 will take place on Wednesday, 4:00 PM CET 31 May 2023, on Zoom Meeting
About The Series
The CIVICA Data Science Seminar Series is a forum that brings together interdisciplinary experts working on novel methodological approaches that leverage new forms of data to address complex societal challenges.
Session 7 - Spring 2023 Details
Without a doubt, we live in an era of unprecedented data production combined with improvements in data storage and processing capabilities. Since the first decade of the new millennium, we are increasingly witnessing the widespread availability of smartphones, connected devices and sensor arrays able to provide all sorts of data that carry information about human activity and behaviour, in the form of “digital traces”. Among the many fields in which this “data revolution” has provided valuable input, one in which the contribution has been most disruptive is that of the social sciences. In this context, we witness the birth of a new discipline: Computational Social Science (CSS). Despite its potential as a policymaking tool, a systematic approach towards mainstreaming the use of advanced computational methods and non-traditional data in policymaking has yet to be identified.
In this context, the role of the Handbook of Computational Social Science for Policy is twofold. As a first goal, we wish this book to be both a reference for terminology, definitions and concepts relative to Computational Social Science for Policy and a picture of the status of the different possible fields of application. At the same time, this book should not be conceived as an end point for the research in Computational Social Science in policy making, but a stimulus for scientists to advance knowledge in this vibrant field of research.
Dr. Eleonora Bertoni
Eleonora Bertoni is a Project Manager – Computational Social Scientist at the European Commission, Joint Research Centre (JRC), where she works for the Centre of Advanced Studies (CAS). She manages the activities of the CAS group on Computational Social Science for Policy which aims at building capacity in accessing and analyzing non-traditional data to address specific policy questions. Previously, Eleonora worked at the Inter-American Development Bank (IDB) on the economics of education, school funding misallocation, learning inequalities, and teacher policies such as behavioural techniques to attract teachers to hard-to-staff schools, among others. Before the IDB, Eleonora worked at the Poverty and Equity Global Practice of the World Bank where she engaged in applied research on the state of poverty, conflict and education in different African economies. Eleonora holds a Ph.D. in Economics from Università degli Studi di Torino, Collegio Carlo Alberto.
Welcome Introduction Prof. Nicolo' Cavalli, Bocconi University
Setting the scene: Brief intro to the speaker and her talk
Seminar Session Dr. Eleonora Bertoni, European Commmission
The Handbook of Computational Social Science for Policy
Research Discussion. Lead Institution
Q&A / Discussion on the research
Upcoming seminar in the series and other announcements