Meet new collaborators and learn Complexity Science by doing

Complexity Science is an interdisciplinary and inclusive framework for studying, designing, and controlling Complex system behavior, such as global pandemics, extreme weather events, electoral politics, economic recovery and poverty, and much more. Over the course of one weekend, you will experience Complexity from a variety of perspectives, while developing solutions to real-world problems in a team setting, such as:

 

• Information flow in a time of global connectivity
• Adaptive planning for communities amidst turbulence and uncertainty
• Addressing climate change and extreme weather events
• Ensuring fair and accurate elections
• Evaluating shelter-in-place policy efficacy during a pandemic
• Building resiliency into businesses, governments, and families
• Healthcare policy and efficacy
• Mental health and wellness
• Any other difficult and ongoing problems you can identify

Source: www.complexityweekend.com

CCS2020 is the flagship conference promoted by the Complex Systems Society. It brings under one umbrella a wide variety of leading researchers, practitioners and stakeholders with a direct interest in Complex Systems, from Physics to Computer Science, Biology, Social Sciences, Economics, and Technological and Communication Networks, among others.

 

Call for Satellites deadline: September 20th

Abstract submission deadline: October 10th

 

Source: ccs2020.web.auth.gr

Call for papers for IEEE ALife 2020 (IEEE Symposium on Artificial Life) http://ieeessci2020.org/symposiums/alife.html as part of IEEE SSCI 2020 http://ieeessci2020.org – submissions due Aug 7, conference Dec 1-4 in Canberra, Australia (pending Covid-19 updates)

Source: www.ieeessci2020.org

Close monitoring of the COVID-19 pandemic provides a blow by blow account of a spatio-temporal process percolating over complex (social)-networks. Efforts to contain the spread of the disease were and remain, for better or worse, explicitly informed by a rich tradition of mathematical models of such processes. This tradition was further enriched in the past couple of decades with the emergence of globally networked virtual societies, and the deployment of fine grained networks of sensors, both enabling the gathering of highly resolved data on the structure of complex networks, and flows over them.

Our online-conference is an occasion for expert reviews of this tradition, then presentations of work-in-progress on the gathering of epidemiological data (technical and ethical challenges), and its modeling (from the coarse grained compartmental, to the fine grained agent based models), with the urgency of COVID-19 mitigation in the air.

Taking place as it does at a cusp in a global pandemic, the meeting is for us at CAMS a timely intervention in a collaboration with the National Center for Remote Sensing (NCRS, CNRS-L) the principle aim of which is to harness big data analytics and complexity theory at the service of national and regional priorities. It draws on local expertise in concerned disciplines (in this case: physics, biology, epidemiology and sociology), and contributions by experts at leading international laboratories in data analytics, and complexity science (e.g. Multiscale and Quantum Physics, Aalto University, Finland; The Bartlett Center for Advanced Spatial Analysis, UCL, London; Center of Complexity Sciences (C3), UNAM, Mexico; The Alan Turing Institute, London; ICTP, Trieste, Italy; etc.).

Source: www.aub.edu.lb

The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks. Two types of contributions are welcome: theoretical developments arising from practical problems, and case studies where methodologies are applied. Both contributions are aimed at stimulating the interaction between theoreticians and practitioners.

Source: complexnetworks.org