Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data Cover

Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data

Citizen Science: Theory and Practice

Volume 9 (2024): Issue 1

By: Kameswara Bharadwaj Mantha , Hayley Roberts , Lucy Fortson , Chris Lintott , Hugh Dickinson , William Keel , Ramanakumar Sankar , Coleman Krawczyk , Brooke Simmons , Mike Walmsley , Izzy Garland , Jason Shingirai Makechemu , Laura Trouille and Clifford Johnson

Open Access

|Dec 2024

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DOI: https://doi.org/10.5334/cstp.740 | Journal eISSN: 2057-4991

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Language: English

Submitted on: Feb 16, 2024

Accepted on: Sep 23, 2024

Published on: Dec 9, 2024

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

anomaly detection,

human-machine optimization,

unsupervised learning,

astronomy imaging

© 2024 Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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