Responsible Data Science
Summary: Responsible data science: blending algorithmic/statistical methods with social theories to address socio-technical issues in systems, highlighting relational learning. Survey of challenges, methods, and ethics for DB/ML integration in data systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lise Getoor (University of California Santa Cruz)
BibTeX Citation
@inproceedings{getoor_sigmod19,
title = {{Responsible Data Science}},
author = {Getoor, Lise},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3314117},
url = {https://dl.acm.org/doi/10.1145/3299869.3314117},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,045 | Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives | 2021 | SIGMOD | 6.3879469e-05 |
| 5,631 | Tailoring Data Source Distributions for Fairness-aware Data Integration | 2021 | VLDB | 6.1427477e-05 |
| 7,367 | Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes | 2021 | SIGMOD | 5.6319194e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 6,945 | Building Machine Learning Systems that Understand | 2016 | SIGMOD |
| 2 | 13,447 | Deep Data Integration | 2021 | SIGMOD |
| 3 | 7,566 | Panel: A Debate on Data and Algorithmic Ethics | 2018 | VLDB |
| 4 | 5,510 | Responsible Data Integration: Next-generation Challenges | 2022 | SIGMOD |
| 5 | 13,348 | Bridging Disciplines in Data Management Research to Solve Complex Data Problems | 2025 | VLDB |
| 6 | 8,328 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD |
| 7 | 1,340 | Responsible Data Management | 2020 | VLDB |
| 8 | 13,521 | Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management | 2018 | SIGMOD |
| 9 | 13,352 | The Limitations of Data, Machine Learning and Us | 2024 | SIGMOD |
| 10 | 13,494 | The Responsibility Challenge for Data | 2019 | SIGMOD |