Explore the words cloud of the GAPARS project. It provides you a very rough idea of what is the project "GAPARS" about.
The following table provides information about the project.
Coordinator |
MMOS SARL
Organization address contact info |
Coordinator Country | Switzerland [CH] |
Project website | http://gapars.mmos.ch |
Total cost | 1˙661˙852 € |
EC max contribution | 573˙297 € (34%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2016-1 |
Funding Scheme | IA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-01-01 to 2019-06-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | MMOS SARL | CH (MONTHEY) | coordinator | 0.00 |
2 | UNIVERSITEIT VAN AMSTERDAM | NL (AMSTERDAM) | participant | 263˙391.00 |
3 | CCP HF | IS (REYKJAVIK) | participant | 92˙098.00 |
4 | MUSEUM NATIONAL D'HISTOIRE NATURELLE | FR (PARIS) | participant | 89˙024.00 |
5 | KUNGLIGA TEKNISKA HOEGSKOLAN | SE (STOCKHOLM) | participant | 64˙391.00 |
6 | VIB | BE (ZWIJNAARDE - GENT) | participant | 64˙391.00 |
7 | UNIVERSITE DE GENEVE | CH (GENEVE) | participant | 0.00 |
8 | Virgo Systems Kft. | HU (BUDAPEST) | participant | 0.00 |
Creating effective ways for citizen science is immensely important. Scientists in all fields increasingly rely on active public participation for experiments and analyses of complex and/or massive data, and the outreach and education possibilities of citizen science are enormous.
Yet there are three key issues for any citizen science project: (i) reach out to a sufficiently large audience, (ii) lower the threshold to participation as much as possible, and (iii) provide incentives to continue participant engagement.
We created Massively Multiplayer Online Science to connect scientific research and video games as a seamless gaming experience. Research tasks completely integrated with game mechanics, narrative and visuals can open up a new channel between the gamer and the scientific community. Converting a small fraction of the billions of hours spent with playing video games will bring an enormous contribution to scientific research, and in the meantime will change how video games’ expertise is perceived.
The goal of GAPARS project is to develop and validate the reference platform enabling the injection of scientific tasks into on-line communities, such as gamers. To do so, we gathered a unique team of prestigious participants and one major game editor, all with a track-record of excellence in management and in their respective domain of expertise. This project will put Europe on the map with a new genre of serious games.
Report on small scale experiment | Documents, reports | 2020-01-14 16:55:43 |
MMOS Platform Game engine and client modules | Demonstrators, pilots, prototypes | 2020-01-14 16:55:44 |
Interface and gamified environment | Websites, patent fillings, videos etc. | 2020-01-14 16:55:44 |
Report on social risks | Documents, reports | 2020-01-14 16:55:54 |
Report and lessons learned on The Story of Proteomics (t+30) | Documents, reports | 2020-01-14 16:55:43 |
Report on Project Impact | Documents, reports | 2020-01-14 16:55:44 |
Project final report | Documents, reports | 2020-01-14 16:55:45 |
Dissemination and Communication Report | Documents, reports | 2020-01-14 16:55:53 |
Report on gaming strategies and guidelines | Documents, reports | 2020-01-14 16:55:44 |
Statics of Small Scale Experiments | Open Research Data Pilot | 2020-01-14 16:55:44 |
Testing and CI beta setup | Demonstrators, pilots, prototypes | 2019-10-09 11:30:50 |
Project Web site | Websites, patent fillings, videos etc. | 2019-10-09 11:30:55 |
Take a look to the deliverables list in detail: detailed list of GAPARS deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Devin P Sullivan, Casper F Winsnes, Lovisa Ã…kesson, Martin Hjelmare, Mikaela Wiking, Rutger Schutten, Linzi Campbell, Hjalti Leifsson, Scott Rhodes, Andie Nordgren, Kevin Smith, Bernard Revaz, Bergur Finnbogason, Attila Szantner, Emma Lundberg Deep learning is combined with massive-scale citizen science to improve large-scale image classification published pages: 820-828, ISSN: 1087-0156, DOI: 10.1038/nbt.4225 |
Nature Biotechnology 36/9 | 2019-07-18 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GAPARS" project.
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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 "GAPARS" are provided by the European Opendata Portal: CORDIS opendata.