Academic literature on the topic 'Zooniverse'

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Journal articles on the topic "Zooniverse"

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Banks, Michael. "Exploring the Zooniverse." Physics World 26, no. 10 (2013): 65. http://dx.doi.org/10.1088/2058-7058/26/10/46.

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Bowler, S. "Zooniverse goes mainstream." Astronomy & Geophysics 54, no. 1 (2013): 1.4—a—1.4. http://dx.doi.org/10.1093/astrogeo/ats001.

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Huffling, Lacey, Heather Scott, Melissa Weeks, Hayward Johnson, Britt Gantt, and Regina Collins. "Exploring the Zooniverse." Science Teacher 88, no. 5 (2021): 43–51. http://dx.doi.org/10.1080/00368555.2021.12293611.

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Smith, Arfon, Stuart Lynn, and Chris Lintott. "An Introduction to the Zooniverse." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 103. http://dx.doi.org/10.1609/hcomp.v1i1.13051.

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The Zooniverse (zooniverse.org) began in 2007 with the launch of Galaxy Zoo, a project in which more than 175,000 people provided shape analyses of more than 1 million galaxy images sourced from the Sloan Digital Sky Survey. In this session we will outline the current architecture of the Zooniverse platform and introduce new functionality being developed that should be of interest to the HCOMP community.
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Hagen, Niclas. "Scaling up and rolling out through the Web." Nordic Journal of Science and Technology Studies 8, no. 1 (2020): 4–15. http://dx.doi.org/10.5324/njsts.v8i1.3320.

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The purpose of this paper is to investigate online public participation and engagement in science through crowdsourcing platforms. In order to fulfil this purpose, this paper will use the crowdsourcing platform Zooniverse as a case study, as it constitutes the most prominent and established citizen science platform today. The point of departure for the analysis is that Zooniverse can be seen as a “platformization” of citizen science and scientific citizenship. The paper suggests that the mobilisation of individuals who participate and engage in science on the Zooniverse platform takes place th
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Luczak-Roesch, Markus, Ramine Tinati, Elena Simperl, Max Van Kleek, Nigel Shadbolt, and Robert Simpson. "Why Won't Aliens Talk to Us? Content and Community Dynamics in Online Citizen Science." Proceedings of the International AAAI Conference on Web and Social Media 8, no. 1 (2014): 315–24. http://dx.doi.org/10.1609/icwsm.v8i1.14539.

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We conducted a quantitative analysis of ten citizen science projects hosted on the Zooniverse platform, using a data set of over 50 million activity records and more than 250,000 users, collected between December 2010 and July 2013. We examined the level of participation of users in Zooniverse discussion forums in relation to their contributions toward the completion of scientific (micro-)tasks. As Zooniverse is home to a multitude of projects, we were also interested in the emergence of cross-projects effects, and identified those project characteristics, most importantly the subject domain a
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Bird, R., M. K. Daniel, H. Dickinson, et al. "Muon Hunter: a Zooniverse project." Journal of Physics: Conference Series 1342 (January 2020): 012103. http://dx.doi.org/10.1088/1742-6596/1342/1/012103.

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Shuttleworth, Sally. "Life in the Zooniverse: Working with Citizen Science." Journal of Literature and Science 10, no. 1 (2017): 46–51. http://dx.doi.org/10.12929/jls.10.1.09.

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Semenzin, Chiara, Lisa Hamrick, Amanda Seidl, Bridgette L. Kelleher, and Alejandrina Cristia. "Describing Vocalizations in Young Children: A Big Data Approach Through Citizen Science Annotation." Journal of Speech, Language, and Hearing Research 64, no. 7 (2021): 2401–16. http://dx.doi.org/10.1044/2021_jslhr-20-00661.

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Purpose Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this article, we assess the extent to which citizen scientists' annotations align with those gathered in the lab for recordings collected from young children. Method Segments identified by Language ENvironment Analysis as produced by the key child were extracted from one daylong recording for each of 20
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Soul, Laura C., Richard S. Barclay, Amy Bolton, and Scott L. Wing. "Fossil Atmospheres: a case study of citizen science in question-driven palaeontological research." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1763 (2018): 20170388. http://dx.doi.org/10.1098/rstb.2017.0388.

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Palaeontologists increasingly use large datasets of observations collected from museum specimens to address broad-scale questions about evolution and ecology on geological timescales. One such question is whether information from fossil organisms can be used as a robust proxy for atmospheric carbon dioxide through time. Here, we present the citizen science branch of ‘Fossil Atmospheres’, a project designed to refine stomatal index of Ginkgo leaves as a palaeo-CO 2 proxy by involving citizen scientists in data collection through the Zooniverse website. Citizen science helped to overcome a barri
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Books on the topic "Zooniverse"

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Zooniverse, The. Into the Zooniverse Vol. III. Blurb, Incorporated, 2021.

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Into the Zooniverse Vol. II. Blurb, 2020.

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Zooniverse. Into the Zooniverse Vol IV. Blurb, 2022.

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Crowd and the Cosmos: Adventures in the Zooniverse. Oxford University Press, 2021.

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The Crowd and the Cosmos: Adventures in the Zooniverse. Oxford University Press, 2020.

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Lintott, Chris. The Crowd and the Cosmos: Adventures in the Zooniverse. Bolinda Audio, 2020.

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Book chapters on the topic "Zooniverse"

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Desjardins, Renée. "Are Citizen Science “Socials” Multilingual? Lessons in (Non)translation from Zooniverse." In When Translation Goes Digital. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51761-8_6.

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AbstractFew studies outside Translation Studies examine the presence and role of translation in the social media landscape, particularly beyond the “big” players (e.g., Facebook; Twitter)—as if the exchange of content occurs seamlessly in these inherently multilingual and multicultural contexts. This study examines a distinct social platform (“Zooniverse”) that links academe and citizen scientists. The chapter examines how and to what effect translation is mobilized to produce and disseminate (scientific) knowledge on social platforms/social media. This research builds on previous work investi
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Angelidakis, Stylianos. "Search for New Particles at CERN on the Zooniverse Citizen-Science Platform." In HEP2023. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76856-9_18.

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Hunt, Leon. "The ‘Zooniverse’ and other (furnished) comic worlds." In Cult British TV comedy. Manchester University Press, 2015. http://dx.doi.org/10.7765/9781526102355.00010.

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Hunt, Leon. "The ‘Zooniverse’ and other (furnished) comic worlds." In Cult British TV comedy. Manchester University Press, 2013. http://dx.doi.org/10.7228/manchester/9780719083778.003.0006.

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Coutentin, Yolaine. "Le collaboratif." In Le Crowdsourcing. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.3916.

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En janvier 2017, les archives de Saint-Brieuc ont mis en ligne sur la plateforme Zooniverse le fonds d’un érudit local du e siècle, Ludovic Anne-Duportal, qui avait dépouillé les registres paroissiaux de la ville et reconstitué les familles briochines de 1535 à 1792. La proposition faite aux contributeurs était d’indexer ces documents par noms de famille afin de disposer d’une base de données permettant d’accéder rapidement aux fiches. Un mois après, l’indexation était réalisée à plus de 50 %. Ce projet est l’aboutissement d’une préoccupation participative des archives de Saint-Brieuc qui est
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Van Hyning, Victoria, and Heather Wolfe. "More Content, Less Context." In Archives. Oxford University Press, 2023. http://dx.doi.org/10.1093/oxfordhb/9780198829324.013.0013.

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Abstract Current and future user expectations are not being met by the hierarchical structure of archival description and the emphasis on creating context that often comes at the expense of digitizing and releasing content in ways that are legible to both humans and machines. We propose a model of community and volunteer engagement that focuses limited staff time on the creation of web-searchable content through volunteer-driven ‘full text finding aids’ and scanning projects. Drawing on our individual experiences at the Folger and Zooniverse, and our collaboration on Shakespeare’s World, a cro
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Rathi, Preeti. "Navigating the Landscape." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-6935-7.ch007.

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The integration of artificial intelligence [AI] into wildlife conservation is revolutionizing the field by enhancing data analysis, predictive modelling, and real-time monitoring. AI technologies, such as machine learning, computer vision, and natural language processing, streamline the identification of species, estimation of populations, and tracking of poaching activities. Projects like Zooniverse's Snapshot Serengeti and PAWS exemplify the successful application of AI in monitoring and protecting wildlife. While AI presents transformative opportunities, its deployment in wildlife conservat
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Conference papers on the topic "Zooniverse"

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Simpson, Robert, Kevin R. Page, and David De Roure. "Zooniverse." In the 23rd International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579215.

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Rosser, Holly, and Andrea Wiggins. "Tutorial Designs and Task Types in Zooniverse." In CSCW '18: Computer Supported Cooperative Work and Social Computing. ACM, 2018. http://dx.doi.org/10.1145/3272973.3274049.

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Kiskin, Ivan, Adam D. Cobb, Lawrence Wang, and Stephen Roberts. "Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053141.

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Hanson, Daniel, and Andrea Simenstad. "Combining Human and Machine Transcriptions on the Zooniverse Platform." In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-6129.

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Fortson, Lucy, and Stuart Lynn. "Talking in the Zooniverse: A collaborative tool for citizen scientists." In 2014 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2014. http://dx.doi.org/10.1109/cts.2014.6867533.

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Soul, Laura C., Richard S. Barclay, Scott L. Wing, Amy Bolton, and J. Patrick Megonigal. "FOSSIL ATMOSPHERES: PALEOBOTANICAL RESEARCH AND CLIMATE EDUCATION ON THE ZOONIVERSE." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-304426.

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Aristeidou, Maria, Christothea Herodotou, Heidi Ballard, Lucy Robinson, and Grant Miller. "Young volunteers on Zooniverse: exploring the relationship between participation and background characteristic." In ECSA2024 and Austrian Citizen Science Conference 2024: Change. Pensoft Publishers, 2024. http://dx.doi.org/10.3897/ap.e126504.

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Angelidakis, Stylianos. "The search for New Particles at CERN on the Zooniverse citizen science platform." In 41st International Conference on High Energy physics. Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.414.1037.

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Semenzin, Chiara, Lisa Hamrick, Amanda Seidl, Bridgette Kelleher, and Alejandrina Cristia. "Towards Large-Scale Data Annotation of Audio from Wearables: Validating Zooniverse Annotations of Infant Vocalization Types." In 2021 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2021. http://dx.doi.org/10.1109/slt48900.2021.9383511.

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Reed, Jason, M. Jordan Raddick, Andrea Lardner, and Karen Carney. "An Exploratory Factor Analysis of Motivations for Participating in Zooniverse, a Collection of Virtual Citizen Science Projects." In 2013 46th Hawaii International Conference on System Sciences (HICSS). IEEE, 2013. http://dx.doi.org/10.1109/hicss.2013.85.

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Reports on the topic "Zooniverse"

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Barbosu, Sandra, and Joshua Gans. Storm Crowds: Evidence from Zooniverse on Crowd Contribution Design. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23955.

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Armstrong, Beth, Rebecca Gillespie, Maya King, and Abbie Collins. Exploring food behaviours in the UK student population: Interim findings. Food Standards Agency, 2022. http://dx.doi.org/10.46756/sci.fsa.lil128.

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Given the lack of evidence on this topic, co creation sessions were held with university students to identify key issues and inform the development of a nationally representative online survey. This report presents the main findings from the co-creation sessions and headline findings from the online survey. The full analysis, which will include results from image coding using the citizen science platform Zooniverse (Opens in a new window) (Opens in a new window), will be published at a later date.
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Gosnell, J. Stephen. What is Community Science, and How do I Get Involved? American Museum of Natural History, 2023. http://dx.doi.org/10.5531/cbc.ncep.0002.

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Community science allows individuals who are not professional scientists to contribute to active scientific research. In this exercise, students learn about the history and growth of community science efforts and how they connect participants to data. Defining traits of community science are discussed, along with examples and potential future directions. Students then have the opportunity to contribute as community scientists by working with projects hosted on the Zooniverse site. Follow-up questions have them reflect on this experience and relate their activity to the larger field.
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