Meetings/Workshops on Complex Networks in the United States (USA)

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1
Winter Conference of Dynamicists
01 Dec 2021 - 10 Jan 2022 • Winter Park Resort (Colorado), United States
Abstract:
We invite you to take part in a Winter Conference of Dynamicists that will take place in Winter Park Ski Resort (Colorado, US) during Dec 1, 2021 - Jan 10, 2022. This venue offers excellent opportunities to maximize informal networking among field leaders and students alike, to drive innovative, intra-disciplinary, and cross-disciplinary discussions and collaborations. The conference will span all topics of dynamical systems theory that help to understand, predict, and control real world processes and models.
Event listing ID:
1423133
2
Connections Workshop: Complex Dynamics - from special families to natural generalizations in one and several variables
03 Feb 2022 - 04 Feb 2022 • Mathematical Sciences Research Institute, Berkeley, United States
Abstract:
This workshop will feature lectures on a variety of topics in complex dynamics, given by prominent researchers in the field, as well as presentations by younger participants. It precedes the introductory workshop and will preview the major research themes of the semester program. There will be a panel discussion focusing on issues particularly relevant to junior researchers, women, and minorities, as well as other social events. This workshop is open to all mathematicians.
Event listing ID:
1423284
3
Introductory Workshop: Complex Dynamics - from special families to natural generalizations in one and several variables
07 Feb 2022 - 12 Feb 2022 • Mathematical Sciences Research Institute, Berkeley, United States
Organizer:
Mathematical Sciences Research Institute (MRSI)
Abstract:
This workshop is built around four minicourses that will introduce the participants to a range of recent techniques in various areas of holomorphic dynamics, given by specialists in these topics. The event is complemented by a series of talks by leaders in the field, aimed at a large audience and presenting current research directions in the area.
Event listing ID:
1443919
4
SNC — Stochastic Networks Conference
20 Jun 2022 - 24 Jun 2022 • Ithaca, New York, United States
Organizer:
Cornell University
Abstract:
Stochastic networks is a multifaceted area of research concerned with the modeling, stability, control, performance, approximation, and design of stochastic networks. It gives rise to challenging and subtle mathematical problems, whose solution often requires a combination of ideas and techniques from several branches of mathematics, including probability theory, stochastic processes, analysis, optimization, algorithms, combinatorics, and graph theory. Research in this area is strongly motivated by applications in diverse domains, ranging from the traditional areas of telecommunications and manufacturing to service operations, biological and social networks, revenue management, and health care. The series of conferences on Stochastic Networks, initiated in 1987 and now held biennially, is a major forum for researchers to learn of the latest developments and new research directions in stochastic networks.
Event listing ID:
1440915
5
Summer Graduate School — Random Graphs
05 Jul 2022 - 16 Jul 2022 • Mathematical Sciences Research Institute, Berkeley, United States
Organizer:
Mathematical Sciences Research Institute (MRSI)
Abstract:
The topic of random graphs is at the forefront of applied probability, and it is one of the central topics in multidisciplinary science where mathematical ideas are used to model and understand the real world. At the same time, random graphs pose challenging mathematical problems that have attracted the attention from probabilists and combinatorialists since the 1960, with the pioneering work of Erdös and Rényi. Around the turn of the millennium, very large data sets started to become available, and several applied disciplines started to realize that many real-world networks, even though they are from various different origins, share many fascinating features. In particular, many of such networks are small worlds, meaning that graph distances in them are typically quite small, and they are scalefree, in the sense that there are enormous differences in the number of connections that their elements make. In particular, such networks are quite different from the classical random graph models, such as proposed by Erdös and Rényi. Spurred by these findings, many novel models have been introduced and properties have been investigated.
Event listing ID:
1443988
6
Math of the Brain
29 Aug 2022 - 02 Sep 2022 • Institute for Pure and Applied Mathematics (IPAM), Los Angeles, United States
Abstract:
This workshop will explore a unique combination of data- and model-driven approach by inviting mathematicians and scientists focusing on neurosciences and beyond. We will have an in-depth discussion of data-driven modeling techniques, dynamics reconstruction and characterization over multiple scales treating the underlying systems as structures in space as well as structures in time. Problems to be discussed include: predicting critical transitions from multivariate time series; extracting interactions between brain areas and the effects of anaesthetics; understanding the effects pathologies in the network connectivity and modeling ways to alleviate them; introducing and studying models that depart from functional connectivity. This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
Event listing ID:
1423476
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Last updated: 10 September 2021