BOTTAI CARLO
Biografia
Carlo Bottai is Postdoctoral researcher at the University of Milano–Bicocca.
Previously, he worked, as Postdoctoral researcher, at the Eindhoven University of Technology on both IRIS, a project part of the EuroTech Postdoc program (co-funded by the EU’s MSCA-COFUND action), and Gossep, a project funded by the EPO Academic Research Programme.
He obtained his PhD in Economics from the University of Turin and Collegio Carlo Alberto (Italy) in March 2019. Before, he studied Political and Social Sciences at the Universities of Florence and Economics at the University of Bologna, and he attended a Master in Economics and Complexity at the Collegio Carlo Alberto (Turin). As a PhD Student, he visited INET - University of Oxford and CID at Harvard University (HKS), for a term each.
His main research interests are in Economics of Innovation; Regional and Urban Economics; Complex Networks Economics; and Economic and Business History.
Pubblicazioni
Bottai, C., Crosato, L., Guerzoni, M., Liberati, C. (2023). Web-augmented firms data to analyze the geography of innovation. Intervento presentato a: 2023 RSA Annual Conference, Ljubljana, Slovenia. Dettaglio
Crosato, L., Bottai, C., Domenech, J., Guerzoni, M., Liberati, C. (2023). Can websites reveal a firm’s innovativeness? Empirical evidence on Italian manufacturing SMEs. In CARMA 2023 Proceedings of 5th International Conference on Advanced Research Methods and Analytics (pp.19-26). Sevilla : Editorial Universitat Politècnica de València [10.4995/CARMA2023.2023.16466]. Dettaglio
Bottai, C., Crosato, L., Domenech, J., Guerzoni, M., Liberati, C. (2023). Unconventional data and Innovation Policy are innovative SMEs’ web-pages different?. Intervento presentato a: Economic Statistics Centre of Excellence Conference on Economic Measurement 2023, Londra. Dettaglio
Bottai, C., Iori, M. (2022). The Knowledge Complexity of the European Metropolitan Areas: Selecting and Clustering Their Hidden Features [Working paper]. Dettaglio
Bottai, C., Crosato, L., Domenech, J., Guerzoni, M., Liberati, C. (2022). Unconventional data for policy: Using Big Data for detecting Italian innovative SMEs. In 2nd ACM Conference on Information Technology for Social Good, GoodIT 2022 (pp.338-344). Association for Computing Machinery [10.1145/3524458.3547246]. Dettaglio