Conferences and Meetings on Complex Networks
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Ninth International Conference on Complex Networks & Their Applications
01 Dec 2020 - 03 Dec 2020 • Madrid, Spain
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.
CNWW 2020 — Complex Networks Winter Workshop 2020
13 Dec 2020 - 18 Dec 2020 • Québec City, Québec, Canada
Vermont Complex Systems Center at the University of Vermont
The Complex Networks Winter Workshop (CNWW) is a week-long international school that offers an extraordinary opportunity for participants to engage in rigorous transdisciplinary complexity science research alongside some of the top researchers in the field of networks. The CNWW is designed for graduate students, postdoctoral fellows, and professionals. The lectures will present open problems and recent advances in the field of complex networks. Participants of this program will collaborate in small transdisciplinary research groups involving other participants as well as faculty. All course lectures will be given in English.
Games, Learning, and Networks
01 Feb 2021 - 19 Feb 2021 • Singapore, Singapore
Institute for Mathematical Sciences/National University of Singapore
The program aims at studying emerging questions on game theory and applications thereof. Some of the most relevant topics of investigation in game theory revolve around the idea of solution concept for a game, the complexity of its calculation, the ability of agents to learn it, its efficiency, and its nature when the game must satisfy some constraints, such as the ones imposed by an underlying network structure.
Connecting Network Structure to its Dynamics: Fantasy or Reality?
26 Sep 2021 - 01 Oct 2021 • Banff Centre in Alberta, Canada
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
A key challenge in biology and medicine is to understand how network of interacting genes gives rise to cellular behavior. Experimental limitations and the big data generated by 'omics technologies requires the development of quantitative approaches to overcome this challenge. In the context of mathematical models this challenge takes form of predicting complex dynamic behavior of gene and signaling networks inside cells. Construction of appropriate models is difficult due to large uncertainty in the state of the cell, the efficiency of its enzymes, and the form of interactions between genes.
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Last updated: 07 July 2020