Michele Rabasco

 CURRENT ACADEMIC POSITIONS

• Research Fellow on the project “Energy Communities, Consumer Networks and the Dual Electricity Market”, University of Bologna – Department of Economics

• Teaching Assistant for Economic and Environmental Policy (Module 2). CLET, Scientific Disciplinary Sector: SECS-P/02

• Teaching Assistant for Macroeconomics. CLET, Scientific Disciplinary Sector: SECS-P/01

PREVIOUS ACADEMIC POSITIONS

• 2022–2024: Research Fellow on the project “Network Analysis, Accessibility and Connectivity: Towards a Unifying Approach and Software for Smart Hubs Analysis”, University of Bologna – Department of Economics

• 2023–2024: Teaching Assistant for Macroeconomics. CLET, SSD: SECS-P/01

• 2022–2023: Teaching Assistant for Microeconomics. CLET, SSD: SECS-P/01

• 2022–2023: Teaching Assistant for Macroeconomics. CLET, SSD: SECS-P/01

• 2021: Research Collaborator in the project “Using Machine Learning Techniques to Predict Aggressive Tax Planning by Multinational Firms”. University of Milano-Bicocca

• 2019–2020: Teaching Assistant for Microeconomics and Economic History, University of Milano-Bicocca

EDUCATION

• Ph.D. in Economics and Finance (2020) – Università Cattolica del Sacro Cuore, Milan

• MSc in Statistics, Economics and Business (2016) – University of Bologna

• MSc in Economics (2010) – University of Bologna

• BSc in Economics and Business (2007) – University of Verona

CONFERENCES AND WORKSHOPS

• Presentation at Workshop [Presenter]. Connectivity and Accessibility Approaches to Network Robustness: The Allocation of Mobility Hubs (Rabasco M., Patuelli R., Rossetti R., Reggiani A.) – NECTAR, Coimbra, 2024

• Presentation at Seminar [Presenter]. Implementing New Bike-Sharing Stations in Urban Areas: A Multi-Criteria Approach (Rabasco M., Patuelli R., Rossetti R., Reggiani A.) – Application of Multi-Criteria Decision Processes, Milan, 2024

CERTIFICATES OF ATTENDANCE

• Foundations of Data Science (2019) – Barcelona Graduate School of Economics

• Bayesian Machine Learning in Social Sciences (2019) – Barcelona Graduate School of Economics

• SAS Programming – Data Management (2016) – SAS Institute

SKILLS

• Languages: Italian (native), English (fluent)

• Computer Skills: PYTHON, R, STATA, QGIS, NETLOGO, SAS, LATEX