Opendata, web and dolomites

EPIDEMICSonCHIP SIGNED

EPIDEMICS in ant societies ON a CHIP

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 EPIDEMICSonCHIP project word cloud

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

replicate    engineer    quality    ant    combine    care    individual    defence    fungal    develops    surveillance    reproductive    poorly    infection    societies    platform    arbitrarily    hosts    monitor    networks    read    generation    entity    disease    organisational    offspring    experimental    colony    quantify    synergise    principles    initial    effect    living    sick    single    techniques    sterile    interaction    chip    turn    observe    pathogens    epidemics    interactions    modeling    form    experiments    easily    protection    epidemic    evolution    social    automatised    males    correlational    lab    collective    risk    subset    amplifies    host    majority    immunity    accessible    dense    limit    individuals    shapes    spread    workers    manipulative    powerful    spatiotemporal    sanitary    infer    quantified    pathogen    behavioural    emerges    structure    society    manipulate    productivity    members    group    defences    insect    quantity    fitness    queens    behaviours    individually   

Project "EPIDEMICSonCHIP" data sheet

The following table provides information about the project.

Coordinator
INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA 

Organization address
address: Am Campus 1
city: KLOSTERNEUBURG
postcode: 3400
website: www.ist.ac.at

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 Austria [AT]
 Project website https://socialimmunity.com/funding/erc-consolidator-grant-2017
 Total cost 1˙991˙564 €
 EC max contribution 1˙991˙564 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA AT (KLOSTERNEUBURG) coordinator 1˙991˙564.00

Map

 Project objective

Living in societies amplifies the risk of getting sick, as pathogens can easily spread along the dense social interaction networks of the hosts. Sanitary care and the organisational structure of societies are expected to limit the risk of epidemics. Yet, how the defences of the individual group members scale-up, combine and synergise towards society-level protection, is poorly understood, as the majority of societies can only be studied via correlational and modeling approaches. Insect societies provide a powerful system for experimental studies, as whole societies are accessible for surveillance and manipulative approaches. We can monitor every behavioural interaction between all members, determine their effects on colony-wide disease spread and replicate experiments arbitrarily. The fitness effects of collective disease defences can be quantified, as they result in a single fitness measure of colony productivity. This is because all members of a social insect colony form a reproductive entity composed of the reproductive queens and males and their sterile workers. I will use an ant host–fungal pathogen system to find out how initial infection develops into an epidemic, and, in turn, how colony-level defence emerges from the interactions between its members. To infer effect from cause, I will not only observe the colony after initial infection of a subset of colony members, but also manipulate the sanitary behaviours and spatiotemporal interaction of host individuals. To this end, I will engineer an automatised platform, following the principles of lab-on-a-chip techniques, to individually target and manipulate colony members, and to quantify their behaviours. Fitness effects will be read out by the quantity and quality of reproductive offspring in the next generation. Such a long-term whole-colony approach is required for understanding the evolution of social immunity, that is, how disease shapes society and how society shapes disease.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EPIDEMICSONCHIP" 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 "EPIDEMICSONCHIP" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

Resonances (2019)

Resonances and Zeta Functions in Smooth Ergodic Theory and Geometry

Read More  

Aware (2019)

Aiding Antibiotic Development with Deep Analysis of Resistance Evolution

Read More  

ENUF (2019)

Evaluation of Novel Ultra-Fast selective III-V Epitaxy

Read More