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EPIDEMICSonCHIP SIGNED

EPIDEMICS in ant societies ON a CHIP

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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

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 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.

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