Lisa CROSATO

Lisa CROSATO is an Associate Professor at the Department of Economics and the Interdepartmental School of Economics, Languages and Entrepreneurship at Ca' Foscari University of Venice. She holds a position in San Giobbe and Treviso campuses. Her research focuses on econometric methodologies applied to financial risk management, SME default prediction, and the use of unconventional data sources such as corporate websites for economic analysis.

Her research interests include credit risk modeling, innovation measurement in SMEs, and the integration of web-scraped data with traditional financial indicators. She has contributed to projects like 'Data Driven Innovation' funded by MUR, exploring the effects of unconventional data on industries and business models.

Recent publications emphasize the application of machine learning techniques for interpretable default prediction and leveraging web data to assess firm innovativeness and creditworthiness. Her work often bridges econometric theory with practical policy applications, such as anti-usury policies and financial inclusion.

Dr. CROSATO advises students on topics like firm size analysis, credit risk, and marketing research, requiring empirical methods and LaTeX for master's theses. She has taught courses in business statistics, data analytics, and international market analysis across various degree programs.