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CAOS SIGNED

Containment, Avalanches and Optimisation in Spreading-processes

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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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.

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

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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