Themes

 1 Optimization and control

• Combinatorial optimization (Aurell, Dall’Asta, Franz, Semerjian, Zecchina)
• Message-passing algorithms (Aurell, Dall’Asta,  Zecchina)
• Quantum random optimization (Semerjan)
• Network control and optimization (Franz)
• Monte Carlo techniques for counting and enumeration (Martin)

2 Inference

• Statistical inference (Opper, Monasson , Sollich, Martin)
• Non-parametric Bayesian inference (Opper, Sollich)
• Learning on networks (Sollich)
• Identification of networks, model selection (Aurell, Marinari, Martin, Opper, Marsili, Roudi)
• Network inference from non-stationary data (Roudi)

 3 Dynamical processes on graphs

• Reaction kinetics on graphs (Sollich)
• Contagion and infection dynamics (Kuehn, Marsili)
• Control of cascade processes in large networks (Zecchina)
• Dynamics of neural networks (Roudi)