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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.

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

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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