Human Factors in Data Science

@article{AmerYahia2018HumanFI,
  title={Human Factors in Data Science},
  author={Sihem Amer-Yahia},
  journal={2018 IEEE 34th International Conference on Data Engineering (ICDE)},
  year={2018},
  pages={1-12}
}
Data Science (DS) has been shifting from libraries and stacks to usage and impact. While "database thinking" is permeating all levels in a DS stack, the DS lifecycle can only be fully realized by looping in humans in a principled and safe fashion. This paper focuses on the role of humans and user data in DS. It starts with the impact of human factors on the design of sustainable and fair data generation and curation. It then reviews how data processing and mining are being revisited to derive… CONTINUE READING

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