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.

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

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.)

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

CREDit (2020)

Chronological REference Datasets and Sites (CREDit) towards improved accuracy and precision in luminescence-based chronologies

Read More  

EngPTC2 (2019)

Exploring new technologies for the next generation pulse tube cryocooler below 2K

Read More