This workshop is co-located with the Conference on Complex Systems and is interested in novel and innovative applications of complex adaptive system approaches to rising questions in the field of Management and Organization Science. The aim of the workshop is to facilitate the meeting of people who work in the field of Management and Organization Science (as well as adjacent areas) and who employ complex adaptive system approaches. We aim at providing a multidisciplinary forum for the presentation and discussion of recent research findings. The workshop has the ultimate objectives to bridge the gap between Management and Organization Science and Complexity Science, and to promote thereby the further development of Management and Organization Science with a specific emphasis to dynamics and emergent behaviors.

More at: casmos.github.io

Background. Cognition arises from multiple mental and biological processes which regulate the acquisition, perception and use of information. Understanding cognitive processes and their biological counterparts poses several, interconnected research challenges, attracting the attention of computational fields like cognitive neuroscience, network science, AI and data science in addition to endeavours from psychology, linguistics, medicine and the humanities.

Aim. Within the above mosaic of cognitive research lines, it is difficult for researchers to be aware of results recently obtained by colleagues in other fields, thus creating a fragmented landscape of research achievements and gaps. Complexity and Cognition aims at creating new opportunities for research exchange, constructive feedback and paper dissemination among researchers interested in cognition and complexity science. This online symposium addresses the need for transdisciplinary researchers working on cognition to overcome discipline-restrictive boundaries, showcasing the benefits and value that systems thinking and complexity science can bring to the cognitive sciences.

Scope. Complexity and Cognition aligns with the scope of the Conference on Complex Systems (CCS) and will reach multiple relevant research communities of interest for CCS, across cognitive, data, complexity and network sciences

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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