Report on the 2021 big data and economic forecasting workshop

Título: Report on the 2021 big data and economic forecasting workshop
Resumen:Modern economies produce massive datasets that need to be analysed using new modelling techniques like those from data science. The exploration of such huge and real-time amount of information generates new insights that are potentially useful for policymakers when designing policy interventions. The second edition of the Big Data and Economic Forecasting workshop (March 16-17, 2021) gathered together researchers, practitioners and policy-makers from diverse backgrounds, with the goal of discussing the latest applications of big data technologies to economics and finance. In this report, we summarize the works presented and the main conclusions of the workshop, highlighting the relevant state-of-the-art and the venues for future research.

Fecha publicación: 13-07-2021
Autor: Manzan, Sebastiano ; Tosetti, Elisa ; Consoli, Sergio ; Tiozzo Pezzoli, Luca ; Barbaglia, Luca; Centro Común de Investigación
ISBN / ISSN: 978-92-76-40303-6
Link: https://bit.ly/3kdavAQ
Palabras clave: análisis de la información , análisis económico , aprendizaje automático , economía , indicador económico , informe de investigación , macrodatos , previsión económica , prospección de texto y datos
Keywords: big data , economic analysis , economic forecasting , economic indicator , economy , information analysis , machine learning , research report , text and data mining