Complex networks of dynamical agents are widely used to model the behavior of large physical or virtual systems. Unfortunately, due to the often abstract nature of such networks or the size thereof, it is sometimes difficult to assess correctly their structure and parameters. With the ever increasing amount of data accessible nowadays, it is natural to attempt to recover structural information of the system from measurements.

Altogether, there are two overlapping questions that we would like to treat in this symposium:
* What networks characteristics can be recovered from time-series measurements of its agents?
* How to identify and locate disturbances from time-series measurements?

Read the full article at: www.delabaysrobin.site

The aim of this Satellite meeting is to balance the contribution of well established leading experts and rising young researchers to review the recent advances in those research fields, with the aim of triggering and igniting new discussions on theoretical and computational solutions required to build a more comprehensive set of tools integrating different perspectives into one, coherent and self-consistent, framework for modeling and analysis of complex networks.
The list of topics that we aim to cover at the conference is the following:
– Mathematical properties of multiscale, multilayer and (hidden) geometric structures
– Empirical measurements for multiscale, multilayer and higher-order networks
– Applications of such models to biological, social, technological and urban systems

More at: manliodedomenico.com

Following a series of successful satellites organised at previous ECCS/CCS events (UrbanNet2013 at ECCS13, CitiNet 2014 at ECCS14, UrbanNet2015 at NetSci 2015, UrbanNet2016 at CCS2016,UrbanSys17 at CCS2017, UrbanSys18 at CCS2018, UrbanSys19 at CCS2019, UrbanNet2020 at NetSci 2020), the objective of the UrbanSys2021 workshop is to create a space for exchanging cutting edge results and innovative ideas on how to address problems and opportunities opened in urbanscapes applying network science and complex systems methods to both conventional and non conventional data. Particular attention will be devoted to new ICT-data approaches for improving the understanding of urban mobility networks and the definition of the urban space. These focuses may include land use, activity-driven analyses, city structure, socio-economic traits and characterization of the neighborhoods to name a few. Furthermore, attention will be paid to ad-hoc planning and management of urban infrastructures, transportation networks, energy and tourism planning, to mention other examples.

More at: urbansys2021.ifisc.uib-csic.es

OCTOBER 22 2021, ONLINE

Complexity science provides the framework for understanding the behavior of social and natural systems. However, there is a huge gap between understanding and applying the principles and methods from complexity science in order to solve real problems. In this satellite we will cover applications of complex systems in multiple domains. We expect to raise awareness about how to manage and intervene in complex systems, including the risk we face when societies become global, the opportunities that are created, and the role of complexity in strategies and analytics.

More at: sites.google.com

A Workshop Satellite of the
Conference on Complex Systems 2021
October 27 – 28, 2021
Submission deadline: July 06, 2021
Acceptance notification: July 09, 2021

Cities are massive systems whose tremendous complexity requires even greater efforts to be modeled, analyzed, understood, and governed. The city is the expression of a multitude of strongly intertwined systems that vary from people sociality to transport systems, from the cultural fabric to urban planning. Each of these city facets already represents in itself a complex system but their interconnection represents what is certainly one of the systems created by human beings with the highest complexity in the world. The aim of this event is to bring together researchers and practitioners from around the world interested in urban systems from the perspective of complexity science.

More  at: urbcompsys.github.io