Opendata, web and dolomites

CAOS SIGNED

Containment, Avalanches and Optimisation in Spreading-processes

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CAOS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

LiverMacRegenCircuit (2020)

Elucidating the role of macrophages in liver regeneration and tissue unit formation

Read More  

CYBERSECURITY (2018)

Cyber Security Behaviours

Read More  

HSQG (2020)

Higher Spin Quantum Gravity: Lagrangian Formulations for Higher Spin Gravity and Their Applications

Read More