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CAOS SIGNED

Containment, Avalanches and Optimisation in Spreading-processes

Total Cost €

0

EC-Contrib. €

0

Partnership

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 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.

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

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 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

year authors and title journal last update
List of publications.
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.

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