The Case for Collaboration
Summary: Advocates collaboration between data systems and ML, not default deep learning; champions simple, efficient, interpretable models that rival deep nets in accuracy. Describes collaboration patterns, overcoming imposter syndrome, and unlocking researchers' personal superpowers. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Margo Seltzer (University of British Columbia)
BibTeX Citation
@inproceedings{seltzer_sigmod25,
title = {{The Case for Collaboration}},
author = {Seltzer, Margo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724424},
url = {https://dl.acm.org/doi/10.1145/3722212.3724424},
year = {2025}
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