Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation co-located with 34th Conference on Neural Information Processing Systems, CSWs@NeurIPS 2020, Vancouver, BC, Canada / Online Event, December 11, 2020 - researchr publication

researchr

You are not signed in
Sign in
Sign up

Dmitry Ustalov, Fabio Casati, Alexey Drutsa, Daria Baidakova, editors, Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation co-located with 34th Conference on Neural Information Processing Systems, CSWs@NeurIPS 2020, Vancouver, BC, Canada / Online Event, December 11, 2020. Volume 2736 of CEUR Workshop Proceedings, CEUR-WS.org, 2020. [doi]

Conference: nips2020

Abstract is missing.

Conversational CrowdsourcingSihang Qiu, Ujwal Gadiraju, Alessandro Bozzon, Geert-Jan Houben. 1-6 [doi]

What Can Crowd Computing Do for the Next Generation of AI Systems?Ujwal Gadiraju, Jie Yang 0028. 7-13 [doi]

Real-Time Crowdsourcing of Health Data in a Low-Income Country: A Case Study of Human Data Supply on Malaria First-Line Treatment Policy Tracking in NigeriaOlubayo Adekanmbi, Wuraola Fisayo Oyewusi, Ezekiel Ogundepo. 14-18 [doi]

Active Learning from Crowd in Document ScreeningEvgeny Krivosheev, Burcu Sayin, Alessandro Bozzon, Zoltán Szlávik. 19-25 [doi]

Human Computation Requires and Enables a New Approach to EthicsLibuse Hannah Veprek, Patricia Seymour, Pietro Michelucci. 26-33 [doi]

A Gamified Crowdsourcing Framework for Data-Driven Co-Creation of Policy Making and Social ForesightAndrea Tocchetti, Marco Brambilla 0001. 34-44 [doi]

runs on WebDSL