Panel: A Debate on Data and Algorithmic Ethics
Summary: Panel on data and algorithmic ethics (FAT) and database community's role in fairness, accountability, and transparency of data decisions. Frames FAT as data-management research, not policy, and investigates whether ethics shape DB research across sectors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Julia Stoyanovich
- 2. Bill Howe
- 3. HV Jagadish
- 4. Gerome Miklau
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,769 | Automated Feature Engineering for Algorithmic Fairness | 2021 | VLDB | 5.934329e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,191 | A Nutritional Label for Rankings | 2018 | SIGMOD | 4.8049534e-05 |
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