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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Abstract)
Titel: Crowdsourcing, open innovation and collective intelligence in the scientific method : a research agenda and operational framework
Autor/-in: Bücheler, Thierry
Sieg, Jan Henrik
Füchslin, Rudolf Marcel
Pfeifer, Rolf
DOI: 10.21256/zhaw-4094
Tagungsband: Artificial live XII : proceedings of the twelfth international conference on the synthesis and simulation of living systels
Herausgeber/-in des übergeordneten Werkes: Fellermann, Harold
Dörr, Mark
Hanczyc, Martin M.
Ladegaard Laursen, Lone
Maurer, Sarah
Merkle, Daniel
Monnard, Pierre Alain
Stoy, Kasper
Rasmussen, Steen
Seite(n): 679
Seiten bis: 686
Angaben zur Konferenz: The 12th International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark, 19-23 August 2010
Erscheinungsdatum: 2010
Reihe: Artificial life
Reihenzählung: 12
Verlag / Hrsg. Institution: MIT Press
Verlag / Hrsg. Institution: Cambridge
ISBN: 978-0-262-29075-3
Sprache: Englisch
Fachgebiet (DDC): 000: Allgemeines und Wissenschaft
Zusammenfassung: The lonely researcher trying to crack a problem in her office still plays an important role in fundamental research. However, a vast exchange, often with participants from different fields is taking place in modern research activities and projects. In the “Research Value Chain” (a simplified depiction of the Scientific Method as a process used for the analyses in this paper), interactions between researchers and other individuals (intentional or not) within or outside their respective institutions can be regarded as occurrences of Collective Intelligence. “Crowdsourcing” (Howe 2006) is a special case of such Collective Intelligence. It leverages the wisdom of crowds (Surowiecki 2004) and is already changing the way groups of people produce knowledge, generate ideas and make them actionable. A very famous example of a Crowdsourcing outcome is the distributed encyclopedia „Wikipedia“. Published research agendas are asking how techniques addressing “the crowd” can be applied to non-profit environments, namely universities, and fundamental research in general. This paper discusses how the non-profit “Research Value Chain” can potentially benefit from Crowdsourcing. Further, a research agenda is proposed that investigates a) the applicability of Crowdsourcing to fundamental science and b) the impact of distributed agent principles from Artificial Intelligence research on the robustness of Crowdsourcing. Insights and methods from different research fields will be combined, such as complex networks, spatially embedded interacting agents or swarms and dynamic networks. Although the ideas in this paper essentially outline a research agenda, preliminary data from two pilot studies show that nonscientists can support scientific projects with high quality contributions. Intrinsic motivators (such as “fun”) are present, which suggests individuals are not (only) contributing to such projects with a view to large monetary rewards.
Weitere Angaben: Open Access Publikation
URI: https://digitalcollection.zhaw.ch/handle/11475/2725
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY-NC-ND 3.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 3.0 Unported
Departement: School of Engineering
Organisationseinheit: Institut für Angewandte Mathematik und Physik (IAMP)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Bücheler, T., Sieg, J. H., Füchslin, R. M., & Pfeifer, R. (2010). Crowdsourcing, open innovation and collective intelligence in the scientific method : a research agenda and operational framework [Conference paper]. In H. Fellermann, M. Dörr, M. M. Hanczyc, L. Ladegaard Laursen, S. Maurer, D. Merkle, P. A. Monnard, K. Stoy, & S. Rasmussen (Eds.), Artificial live XII : proceedings of the twelfth international conference on the synthesis and simulation of living systels (pp. 679–686). MIT Press. https://doi.org/10.21256/zhaw-4094
Bücheler, T. et al. (2010) ‘Crowdsourcing, open innovation and collective intelligence in the scientific method : a research agenda and operational framework’, in H. Fellermann et al. (eds) Artificial live XII : proceedings of the twelfth international conference on the synthesis and simulation of living systels. Cambridge: MIT Press, pp. 679–686. Available at: https://doi.org/10.21256/zhaw-4094.
T. Bücheler, J. H. Sieg, R. M. Füchslin, and R. Pfeifer, “Crowdsourcing, open innovation and collective intelligence in the scientific method : a research agenda and operational framework,” in Artificial live XII : proceedings of the twelfth international conference on the synthesis and simulation of living systels, 2010, pp. 679–686. doi: 10.21256/zhaw-4094.
BÜCHELER, Thierry, Jan Henrik SIEG, Rudolf Marcel FÜCHSLIN und Rolf PFEIFER, 2010. Crowdsourcing, open innovation and collective intelligence in the scientific method : a research agenda and operational framework. In: Harold FELLERMANN, Mark DÖRR, Martin M. HANCZYC, Lone LADEGAARD LAURSEN, Sarah MAURER, Daniel MERKLE, Pierre Alain MONNARD, Kasper STOY und Steen RASMUSSEN (Hrsg.), Artificial live XII : proceedings of the twelfth international conference on the synthesis and simulation of living systels. Conference paper. Cambridge: MIT Press. 2010. S. 679–686. ISBN 978-0-262-29075-3
Bücheler, Thierry, Jan Henrik Sieg, Rudolf Marcel Füchslin, and Rolf Pfeifer. 2010. “Crowdsourcing, Open Innovation and Collective Intelligence in the Scientific Method : A Research Agenda and Operational Framework.” Conference paper. In Artificial Live XII : Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systels, edited by Harold Fellermann, Mark Dörr, Martin M. Hanczyc, Lone Ladegaard Laursen, Sarah Maurer, Daniel Merkle, Pierre Alain Monnard, Kasper Stoy, and Steen Rasmussen, 679–86. Cambridge: MIT Press. https://doi.org/10.21256/zhaw-4094.
Bücheler, Thierry, et al. “Crowdsourcing, Open Innovation and Collective Intelligence in the Scientific Method : A Research Agenda and Operational Framework.” Artificial Live XII : Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systels, edited by Harold Fellermann et al., MIT Press, 2010, pp. 679–86, https://doi.org/10.21256/zhaw-4094.


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