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António Lucas Soares University of Porto and INESCTEC
Rogerio Abreu de Paula IBM Research
Mathis Poser University of Hamburg
Caifan Du The University of Texas at Austin
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Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers , Kevin Crowston
Citizen science on a smartphone: Participants’ motivations and learning , Anne M. Land-Zandstra; Jeroen L.A. Devilee; Frans Snik; Franka Buurmeijer; Jos M. van den Broek
Thinking critically about and researching algorithms , Rob Kitchin
The social power of algorithms , David Beer
The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms , Taina Bucher

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Converging Design: AI, Jobs, Job Design and Organizations , Presentation , Discussion Group
Situating “explainability”: Making sense of data-driven assemblages in organizational context , Presentation , Christine T. Wolf
Are We Ready For A Life Interdisciplinary , Presentation , Ryan Watkins

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Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

Publication Type:

Journal Article

Authors:

Michael Zevin; Scott Coughlin; Sara Bahaadini; Emre Besler; Neda Rohani; Sarah Allen; Miriam Cabero; Kevin Crowston; Aggelos Katsaggelos; Shane Larson; Tae Kyoung Lee; Chris Lintott; Tyson Littenberg; Andrew Lundgren; Carsten Oesterlund; Joshua Smith; Laura Trouille; Vicky Kalogera

Source:

Classical and Quantum Gravity, Volume 34, p.064003 (2017)