Gentili Studenti, 

si riporta qui sotto la comunicazione del prof. Rizzo e del prof. Di Tullio.

Si comunica che il ricevimento del prof. Fumagalli di giovedì 29 gennaio e giovedì 5 febbraio è sospeso. Verrà anticipato a mercoledì 28 gennaio e a mercoledì 4 febbraio, sempre h. 11, nello studio n. 5, piano I, 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.

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"

Le lezioni di ECONOMICS OF INNOVATION AND INDUSTRIAL DYNAMICS (prof. Fontana) oggi, 3 dicembre 2025, sono annullate.

11 Dicembre 2025 - 11:30 - 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.