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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

Open Access
|Dec 2024

Authors

Kameswara Bharadwaj Mantha

manth145@umn.edu

University of Minnesota-Twin Cities

Hayley Roberts

robertsh@umn.edu

University of Minnesota-Twin Cities

Lucy Fortson

lfortson@umn.edu

University of Minnesota-Twin Cities

Chris Lintott

chris.lintott@physics.ox.ac.uk

University of Oxford

Hugh Dickinson

hugh.dickinson@open.ac.uk

Open University

William Keel

keel@ua.edu

University of Alabama

Ramanakumar Sankar

rsankar@umn.edu

University of California Berkeley

Coleman Krawczyk

coleman@zooniverse.org

University of Portsmouth

Brooke Simmons

b.simmons@lancaster.ac.uk

Lancaster University

Mike Walmsley

m.walmsley@utoronto.ca

University of Toronto

Izzy Garland

i.garland@lancaster.ac.uk

Lancaster University

Jason Shingirai Makechemu

j.makechemu@lancaster.ac.uk

Lancaster University

Laura Trouille

trouille@zooniverse.org

Adler Planetarium

Clifford Johnson

cliff@zooniverse.org

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

© 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.