Citizen science in European research infrastructures

Author:

Serjeant StephenORCID,Pearson James,Dickinson Hugh,Jarvis Johanna

Abstract

AbstractMajor European Union-funded research infrastructure and open science projects have traditionally included dissemination work, for mostly one-way communication of the research activities. Here, we present and review our radical re-envisioning of this work, by directly engaging citizen science volunteers into the research. We summarise the citizen science in the Horizon-funded projects ASTERICS (Astronomy ESFRI and Research Infrastructure Clusters) and ESCAPE (European Science Cluster of Astronomy and Particle Physics ESFRI Research Infrastructures), engaging hundreds of thousands of volunteers in providing millions of data mining classifications. Not only does this have enormously more scientific and societal impact than conventional dissemination, but it facilitates the direct research involvement of what is often arguably the most neglected stakeholder group in Horizon projects, the science-inclined public. We conclude with recommendations and opportunities for deploying crowdsourced data mining in the physical sciences, noting that the primary goal is always the fundamental research question; if public engagement is the primary goal to optimise, then other, more targeted approaches may be more effective.

Funder

HORIZON EUROPE Framework Programme

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. S. Serjeant, Citizen science in the European open science cloud. Europhys. News 54(2), 20–23 (2023). https://doi.org/10.1051/epn/2023204. arXiv:2307.06896 [astro-ph.IM]

2. A. Swanson, M. Kosmala, C. Lintott, R. Simpson, A. Smith, C. Packer, Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Sci. Data 2, 150026 (2015). https://doi.org/10.1038/sdata.2015.26

3. T. Daylan, D.P. Finkbeiner, D. Hooper, T. Linden, S.K.N. Portillo, N.L. Rodd, T.R. Slatyer, The characterization of the gamma-ray signal from the central milky way: a case for annihilating dark matter. Phys. Dark Univ. 12, 1–23 (2016). https://doi.org/10.1016/j.dark.2015.12.005

4. M. Ackermann, M. Ajello, A. Albert, W.B. Atwood, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri, R. Bellazzini, E. Bissaldi, R.D. Blandford, E.D. Bloom, R. Bonino, E. Bottacini, T.J. Brandt, J. Bregeon, P. Bruel, R. Buehler, T.H. Burnett, R.A. Cameron, R. Caputo, M. Caragiulo, P.A. Caraveo, E. Cavazzuti, C. Cecchi, E. Charles, A. Chekhtman, J. Chiang, A. Chiappo, G. Chiaro, S. Ciprini, J. Conrad, F. Costanza, A. Cuoco, S. Cutini, F. D’Ammando, F. de Palma, R. Desiante, S.W. Digel, N. Di Lalla, M. Di Mauro, L. Di Venere, P.S. Drell, C. Favuzzi, S.J. Fegan, E.C. Ferrara, W.B. Focke, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, F. Gargano, D. Gasparrini, N. Giglietto, F. Giordano, M. Giroletti, T. Glanzman, G.A. Gomez-Vargas, D. Green, I.A. Grenier, J.E. Grove, L. Guillemot, S. Guiriec, M. Gustafsson, A.K. Harding, E. Hays, J.W. Hewitt, D. Horan, T. Jogler, A.S. Johnson, T. Kamae, D. Kocevski, M. Kuss, G. La Mura, S. Larsson, L. Latronico, J. Li, F. Longo, F. Loparco, M.N. Lovellette, P. Lubrano, J.D. Magill, S. Maldera, D. Malyshev, A. Manfreda, P. Martin, M.N. Mazziotta, P.F. Michelson, N. Mirabal, W. Mitthumsiri, T. Mizuno, A.A. Moiseev, M.E. Monzani, A. Morselli, M. Negro, E. Nuss, T. Ohsugi, M. Orienti, E. Orlando, J.F. Ormes, D. Paneque, J.S. Perkins, M. Persic, M. Pesce-Rollins, F. Piron, G. Principe, S. Rainò, R. Rando, M. Razzano, S. Razzaque, A. Reimer, O. Reimer, M. Sánchez-Conde, C. Sgrò, D. Simone, E.J. Siskind, F. Spada, G. Spandre, P. Spinelli, D.J. Suson, H. Tajima, K. Tanaka, J.B. Thayer, L. Tibaldo, D.F. Torres, E. Troja, Y. Uchiyama, G. Vianello, K.S. Wood, M. Wood, G. Zaharijas, S. Zimmer, Fermi LAT collaboration: the fermi galactic center gev excess and implications for dark matter. ApJ 840(1), 43 (2017). https://doi.org/10.3847/1538-4357/aa6cab. arXiv:1704.03910 [astro-ph.HE]

5. Q. Feng, J. Jarvis, VERITAS Collaboration: A citizen-science approach to muon events in imaging atmospheric Cherenkov telescope data: the Muon Hunter, in, 35th International Cosmic Ray Conference (ICRC2017). International Cosmic Ray Conference, 301, 826 (2017). https://doi.org/10.22323/1.301.0826

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