Digital Methods for Economics and Social Sciences
by Giuliano Resce
Giuliano Resce is Senior Lecturer in Economics at the University of Molise. He has consolidated expertise in Digital Methods, Big Data Analytics, Machine Learning, Text Mining, and Impact Evaluations. Before joining the University of Molise, he has been Research Fellow for SOSE S.p.A. (Italian Ministry of Economics and Finance), the Italian National Research Council (CNR), and the Department of Economics and Management, University of Florence. He has been Visiting Fellow at ETH Zürich, University of Portsmouth, University of Sheffield, and World Bank Headquarters. He obtained a Ph.D. in Economics from Roma Tre University and a master’s degree in Political Science from the University of Florence.
He has been an advisor at the International Fund for Agricultural Development (IFAD), the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS), and the International Maize and Wheat Improvement Center (CIMMYT). He is currently an advisor for the International Center for Tropical Agriculture (CIAT), SOSE S.p.A, and the European Commission, Joint Research Center. He is part of the group of experts for the Department for Cohesion Policies at the Italian Presidency of the Council of Ministers.
Social Data Science and the Digital Economy
by Fabian Braesemann
Fabian Braesemann is a Research Fellow and Data Scientist at the Saïd Business School and a Research Associate at the Oxford Internet Institute, University of Oxford.
His research focuses on data mining and the statistical analysis of large-scale online data to understand market and information dynamics in a digitally connected world. Furthermore, he is the Founder of the Datenwissenschaftliche Gesellschaft Berlin, a company focused on applying data science to economic, policy, and development problems.
Access the slides used by Fabian Braesemann during his keynote speech at CARMA 2022.