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Ten simple rules for building and maintaining a responsible data science workflow
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Ten simple rules for building and maintaining a responsible data science workflow (2024)Ten simple rules for building and maintai…Leakage and the reproducibility crisis in machine-learning-based science (2023)Leakage and the reproducibili…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Race after technology. Abolitionist tools for the new Jim Code (2020)Race after technology. Abolit…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …The preregistration revolution (2018)The preregistration revolutionFairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…A manifesto for reproducible science (2017)A manifesto for reproducible …Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Promoting an open research culture (2015)Promoting an open research cu…Reproducible Research in Computational Science (2011)Reproducible Research in Comp…False-Positive Psychology (2011)False-Positive PsychologyThe Sociology of Science: Theoretical and Empirical Investigations (1974)The Sociology of Science: The…Biased evaluation and persistence in gambling. (1983)The case for motivated reasoning. (1990)Why Most Published Research Findings Are False (2005)Power failure: why small sample size undermines the reliability of neuroscience (2013)The New Statistics (2013)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Model Cards for Model Reporting (2019)A Survey on Bias and Fairness in Machine Learning (2021)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation (2015)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)Sustainable data analysis with Snakemake (2021)Privacy in Context (2009)Big data: a revolution that will transform how we live, work, and think (2013)Privacy and human behavior in the age of information (2015)Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject (2018)Algorithms at Work: The New Contested Terrain of Control (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Nature of Prejudice (1954)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Generative AI at Work (2023)Estimating the reproducibility of psychological science (2015)Meta-analysis and the science of research synthesis (2018)Some Elements of a Sociology of Translation: Domestication of the Scallops and the Fishermen of St Brieuc Bay (1984)Intersectionality as buzzword (2008)Why We Disagree about Climate Change (2009)Open science challenges, benefits and tips in early career and beyond (2019)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update (2020)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,674 cited
  • 2019The global landscape of AI ethics guidelines7,131 cited
  • 2011False-Positive Psychology6,561 cited
  • 2021On the Opportunities and Risks of Foundation Models5,848 cited
  • 1974The Sociology of Science: Theoretical and Empirical Investigations4,004 cited
  • 2017A manifesto for reproducible science3,368 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,110 cited
  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,069 cited
  • 2015Promoting an open research culture2,686 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2018The preregistration revolution1,972 cited
  • 2020Race after technology. Abolitionist tools for the new Jim Code1,889 cited
  • 2011Reproducible Research in Computational Science1,446 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2023Leakage and the reproducibility crisis in machine-learning-based science1,313 cited

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  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art1,031 cited
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