Workshop and Summer School


Data-Driven Methods for Multi-Scale Physics and Complex Systems


We would like to announce a summer school and workshop focusing on emerging theoretical and computational methods at the intersection of data science, complex systems and networks.  The summer school and workshop will develop ideas from model reduction, data-assimilation, network theory, sparse sampling, equation-free methodologies, and machine learning with the goal of providing innovative tools for adaptively modeling and controlling complex, nonlinear processes. 


Workshop Plennary Speakers


Peter Benner (Max-Planck Institute, Magdeburg)
Computing parametric reduced-order models using projection and data

Bingni Brunton (Washington)
Data-intensive approaches to understanding neural computations underlying naturalistic behaviors

Claudio Castellano (ISC-CNR, Rome)
Epidemic spreading on complex networks

Bernard Haasdonk (Stuttgart)
Sparse surrogate modeling by greedy kernel approximation

Petros Koumoutsakos (ETH-Zurich)
Data + Computers + Thinking = Computing

Simone Melchionna (ISC-CNR, Rome)
Multiscale biofluidics: from kinetic theory to medicine

Themis Sapsis (MIT)
A variational method for probing extreme events in turbulent dynamical systems

Christof Schuette (Berlin)
Transition manifolds of complex metastable systems: Theory and data-driven computation of effective dynamics


Summer School: July 24-28 at La Sapienza


Audience: 40-60 Graduate students and postdocs. No registration fee. For US students, US $500 will help to partially support travel expenses incurred. For European students, US $300 is available. To inquire, please email Nathan Kutz at Summer School lecturers include:

Tutorial 1:
Introduction to Complex Networks
Guido Caldarelli (IMT-Lucca)

Tutorial 2:
Reduced Order Modeling
J. Nathan Kutz (Washington)

Tutorial 3:
Randomized Linear Dimension Reduction - A Guided Tour
N. Benjamin Erichson (Washington)

Tutorial 4:
Data-Driven Model Discovery
Steven L. Brunton and J. Nathan Kutz (Washington)

Tutorial 5:
Machine Learning Control
Steven L. Brunton (Washington)

Tutorial 6:
Complex Physics
Eugenio Del Re and Claudio Conti (Roma)

Tutorial 7:
Sparse Measurements for Complex Systems
Krithika Manohar (Washington)

Tutorial 8:
Dynamical Processes on Complex Networks
Claudio Castellano (ISC-CNR)



Workshop: July 31-August 4 at the UW Rome Center


The workshop will take place following the summer school at the University of Washington Rome Center which is centrally located in the Campo di Fiore. Workshop contributed talks are solicited from faculty, postdocs and graduate students. To inquire about attending the workshop, please email Nathan Kutz at




- Steven L. Brunton and J. Nathan Kutz (Washington)
- Claudio Conti and Eugenio Del Re (Roma)
- Silvia Gentilini and Giulia Marcucci (Roma) - LOCAL ORGANIZERS
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