<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.</p></abstract>

Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.

Modeling Biological Systems Using Crowdsourcing

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Modeling Biological Systems Using Crowdsourcing"}

Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the...

Modeling Biological Systems Using Crowdsourcing

Pubblicato online: 27 ott 2018

Pagine: 219 - 243

Ricevuto: 30 lug 2018

Accettato: 07 set 2018

DOI: https://doi.org/10.1515/fcds-2018-0012

Parole chiave
Computer game, Crowdsourcing, Dynamic system, Modeling, Serious game, Systems biology

© 2018 Szymon Wasik, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Modeling Biological Systems Using Crowdsourcing

Pubblicato online: 27 ott 2018

Pagine: 219 - 243

Ricevuto: 30 lug 2018

Accettato: 07 set 2018

DOI: https://doi.org/10.1515/fcds-2018-0012

Parole chiaveComputer game, Crowdsourcing, Dynamic system, Modeling, Serious game, Systems biology

© 2018 Szymon Wasik, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Computer game, Crowdsourcing, Dynamic system, Modeling, Serious game, Systems biology