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Opendata, web and dolomites

CAOS SIGNED

Containment, Avalanches and Optimisation in Spreading-processes

Total Cost €

EC-Contrib. €

Partnership

Views

CAOS project word cloud

Explore the words cloud of the CAOS project. It provides you a very rough idea of what is the project "CAOS" about.

pandemics tiny material social statistical multiple equilibrium forming beneficial dynamic physics explosively onset instances collaborate telecom ubiquitous monitor decisions distributing macroscopically drastic period networks interplay optimisation practical blackouts boosting modern cascading allocation charity provision topology realistic warning asymptotic algorithmic epidemics message optimal failures scientific deployment dynamics movements abrupt algorithms competitive promotion commercial contagion area manifestation lacking vaccines picture resource spread policy passing contain society heterogeneous advertising solutions critical outbreak catastrophic campaigns signals techniques cooperative spreading transitions service technological epidemic abruptly ignored signs british outbreaks avalanche marketing global gain employing

Project "CAOS" data sheet

The following table provides information about the project.

Coordinator	ASTON UNIVERSITY Organization address address: ASTON TRIANGLE city: BIRMINGHAM postcode: B4 7ET website: www.aston.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	224˙933 €
EC max contribution	224˙933 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2018
Funding Scheme	MSCA-IF-EF-ST
Starting year	2019
Duration (year-month-day)	from 2019-08-01 to 2021-07-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	ASTON UNIVERSITY ASTON UNIVERSITY Organization address address: ASTON TRIANGLE city: BIRMINGHAM postcode: B4 7ET website: www.aston.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (BIRMINGHAM)	coordinator	224˙933.00

Map

Project objective

Spreading processes, such as cascading failure of technological networks, epidemic outbreak and contagion in social networks are ubiquitous and have a significant impact on the modern society. In many cases, transitions to large-scale blackouts or global pandemics occur abruptly due to tiny changes in system parameters; epidemics and social movements can spread out explosively, forming avalanche-like outbreaks in a very short period. The drastic transitions are beneficial for making global impact of boosting charity campaigns and commercial advertising but can also have catastrophic consequences when epidemics or failures spread to large part of a critical systems abruptly, without any early warning signals. Moreover, multiple cooperative of competitive spreading processes make the picture even more complex.

Previous work in this area focused on the asymptotic manifestation of the process and typically ignored the interplay between specific system topology and the dynamics. Methods to monitor, identify and control drastic transitions and outbreaks in heterogeneous realistic networks are lacking. In this project, we will investigate the signs for abrupt transitions and avalanche outbreaks both macroscopically and in specific instances, to gain insight into the conditions for their onset. We will develop methods to contain (or facilitate) the outbreaks by optimal deployment of resources, such as applying vaccines or distributing promotion material by employing the recently developed dynamic message passing techniques from statistical physics. We will collaborate with British Telecom to promote product marketing and service provision by using the new optimisation algorithms. This project will have significant impact on the scientific understanding of non-equilibrium spreading processes, provide algorithmic solutions for practical problems in specific instances, will support policy making decisions and offer optimal resource allocation for commercial marketing tasks.

Publications

List of publications.
year	authors and title	journal	last update
2020	Bo Li, David Saad Large deviation analysis of function sensitivity in random deep neural networks published pages: 104002, ISSN: 1751-8113, DOI: 10.1088/1751-8121/ab6a6f	Journal of Physics A: Mathematical and Theoretical 53/10	2020-03-05

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The information about "CAOS" are provided by the European Opendata Portal: CORDIS opendata.