NetSci School

The NetSci School is a two-day educational program just before the main NetSci conference. It offers intensive tutorials and hands-on workshops designed for students, early-career researchers, and newcomers to network science. Participants gain a solid foundation in state-of-the-art methods across the various network science disciplines. The school is a unique opportunity to learn from experts in the field and connect with peers in an informal, collaborative setting.

The school will take place at the room “FPN Heerlen Zaal” of the Faculty of Psychology and Neuroscience. For exact times, please check the Program

Speakers

Huijuan Wang

Temporal Higher-order Networks

Dr. Huijuan Wang is an Associate Professor in the department of Intelligent Systems at Delft University of Technology. Her research focuses on Network Data Science. She develops methodologies to model, control and predict dynamic processes on time-evolving complex networks. Her work addresses diverse applications, ranging from viral spreading, opinion interactions, social and financial contagion, cascades of failures to the organization of criminal activities. Dr. Wang has been a visiting scientist in the Department of Physics at Boston University (2011-2019), as well as in the Departments of Electrical Engineering at Stanford (2015) and Princeton (2022) Universities. She is the Co-Founder of the Dutch Network Science Society and serves as the Chair of the Netherlands Platform for Complex Systems. In addition, she is a board member of the Network Science Society and has been on the organizing board of the Conference on Complex Networks and its Applications since 2017.

Manlio De Domenico

Network Science in a Complex World:

Broken, Lost and Future Links

Manlio De Domenico is Associate Professor of Physics at the University of Padua, where he directs the Complex Multilayer Networks Lab. He is also Director of the Padua Center for Network Medicine, President of the Italian Chapter of the Complex Systems Society, co-founder and co-Director of the Mediterranean School of Complex Networks. His research explores collective phenomena in natural and artificial interdependent systems, with significant contributions to multilayer network modeling and analysis, applying these methods in biology, medicine, and epidemiology. His interdisciplinary work spans human mobility, disease spreading, connectomics, and network resilience, driving advancements in systems biology, systems medicine, and computational epidemiology. He has received prestigious awards, including the IUPAP Young Scientist Award in Statistical Physics and the German Physical Society's Young Scientist Award. He is also a prominent science communicator, leading initiatives like *Complexity Explained* and the #ComplexityThoughts newsletter.

Joseph Lizier

Inferring network models from multivariate time-series data

Philosophy, approaches and considerations

Associate Professor Joseph Lizier (PhD, 2010) is a member of the School of Computer Science at The University of Sydney (since 2015). His research studies the dynamics of information processing in biological and bio-inspired complex systems and networks, focussing both on fundamental theoretical advances as well as applications to neural systems and collective animal behaviour. He is a lead developer of the JIDT and IDTxl toolboxes for using information theory to characterise dynamics of information flows and effective structure of complex systems time-series. A/Prof. Lizier teaches into the University's Computer Science and Complex Systems degrees, and is a deputy director of the Centre for Complex Systems. He has held previous postdoctoral positions at CSIRO and Max Planck Institute Leipzig, and worked in the telecommunications industry for 10 years, including at Seeker Wireless and Telstra Research Laboratories.

Dillon Eastoe

How to get published

Dillon Eastoe is a Publisher at Institute of Physics (IOP) Publishing. He will present a session aimed at researchers working in network science and will give all the information you need to ensure the successful publication in academic research journals. The session will cover a range of topics including: (i) Choosing the right journal (ii) Writing your paper (iii) Peer Review and Publishing ethics (iv) Post-acceptance & post-publication guidance (v) Open Access and transformative agreements