SESSION 1: MORNING

 

09:00 - 09:15   Opening remarks

 

09:15 - 10:00    Invited talk: Yamir Moreno, University of Zaragoza, Spain, on “Multilayer systems: From Diffusion Processes to Transportation Networks”

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10:00 - 10:30   Invited talk: Sayan Pathak, Microsoft Research, on “Unstructured text/language understanding using Deep Neural Nets”

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10:30 - 11:00   Coffee break 1

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SESSION 2: NOON

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11:00 - 11:30   Invited talk: Daniel B. Larremore, Santa Fe Institute, on “Dynamics of Beneficial Epidemics” [Download]

 

11:30 - 12:00   Invited talk: Yérali Gandica, University of Namur, Belgium, on “Communities-based Networks as a Consequence of Homophily Effects” [Download]

 

12:00 - 12:30   Invited talk: Sanjukta Bhowmick, University of Nebraska at Omaha, on “How Network Structure Affects its Stability”

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12:30 - 14:00   Lunch on your own

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SESSION 3: AFTERNOON

 

14:00 - 14:30   Invited talk: Márton Pósfai , University of California at Davis, on “Controllability of Temporal Networks and Multiplex, Multi-Timescale Networks” [Download]

 

14:30 - 15:00   Invited talk: Lucas Jeub, Indiana University, on “A Local Perspective on Community Structure in Multilayer Networks” [Download]

 

15:00 - 15:30   Invited talk: Michael Schaub, Massachusetts Institute of Technology, on “Spectral Techniques for Network Learning”

 

15:30 - 16:00   Coffee break 2

 

SESSION 4: EVENING

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16:00 - 16:30   Invited talk: Alexey Medvedev, University of Namur, Belgium, on “Modelling the dynamics of discussion threads with temporal Hawkes branching processes: the case study of Reddit”. [Video link]

 

16:30 - 17:15   Panel discussion on “What can Statistical Physics and Machine Learning Learn from each other?” [Panelists: Yamir Moreno, Ingo Scholtes, Filippo Radicchi, Sanjukta Bhowmick]

 

17:15 - 17:30   Closing remarks

 

19:00 - 22:00    Dinner