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Mai, J.-E.: Classification in a social world : bias and trust (2010)
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Zhao, Y.W.; Chi. C.-H.; Heuvel, W.J. van den: Imperfect referees : reducing the impact of multiple biases in peer review (2015)
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Nikolov, D.; Lalmas, M.; Flammini, A.; Menczer, F.: Quantifying biases in online information exposure (2019)
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Mutz, R.; Bornmann, L.; Daniel, H.-D.: Testing for the fairness and predictive validity of research funding decisions : a multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund (2015)
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Shah, C.; Anderson, T.; Hagen, L.; Zhang, Y.: ¬An iSchool approach to data science : human-centered, socially responsible, and context-driven (2021)
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