Dear Students,
below is the communication from Professors Rizzo and Di Tullio.
Please note that Professor Fumagalli's office hours on Thursday, January 29th and Thursday, February 5th are suspended. They will be moved to Wednesday, January 28th and Wednesday, February 4th, both at 11:00 a.m., in office no. 5, first floor, Via San Felice 5.
January 22-23, 2026
Venue: Aula H, Via San Felice al Monastero 5, Pavia
In an era defined by rapid, unprecedented disruption—ranging from financial crises to climate change to global pandemics—our socio-economic systems are being reshaped before our eyes. As market participants evolve and adapt, the foundations of econometric modeling shift, creating new challenges and opportunities.
This workshop brings together world-class experts at the forefront of modeling time-varying parameters, such as volatility and liquidity. We uncover the forces driving these dynamics and explore cutting-edge insights essential for safeguarding and strengthening the resilience of the global financial system.
Full program and details.
Dear students, we would like to inform you that students in the 2025-2026 academic year who have chosen Introduction to Spanish Language cannot take the exam (written and oral) before the second semester course. Students are required to adhere to the language semester. Therefore, they can only take the exams from the summer session onwards.
Best regards,
Di Vincenzo
9 January 2026 - 11:30 am - Common Room
Matteo Garbelli (Dip di Informatica, Verona) "Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Markets: From Single-Agent to Multi-Agent Games"
The ECONOMICS OF INNOVATION AND INDUSTRIAL DYNAMICS (Prof. Fontana) lectures today, December 3, 2025, are canceled.
11 December 2025 - 11:30 am - Common Room
Michele Aleandri (LUISS) "Interaction on graphs: dynamics and normative aspects".
Abstract
This seminar illustrates how graphs provide a versatile framework for modeling interaction, coordination, and long-term behavior in complex systems. We consider several classes of models in which agents’ decisions evolve through reinforcement, social influence, cooperation, or rare-event dynamics, and show how the underlying network structure governs stability, convergence, and the emergence of norms. Reinforced dynamics highlight how graph topology shapes collective limits; models of social influence reveal how local interactions can trigger global shifts in normative behavior; collaboration networks show how power and coherence depend on structural position; and large-deviation regimes in stochastic systems demonstrate how graphs guide asymptotic selection mechanisms. Taken together, these perspectives show how diverse phenomena, ranging from normative change to technological cooperation and metastable behavior, can be understood through a common graph-based viewpoint.
