PACMMOD V1 N1 Editorial – Welcome to PACMMOD
Summary: Editorial for PACMMOD, a new ACM venue for data management research. Defines scope across principles, algorithms, systems, and applications along the data lifecycle—from modeling to analysis—with emphasis on curation, performance, privacy, fairness, and real-world deployments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Divyakant Agrawal (University of California Santa Barbara)
- 2. Sihem Amer-Yahia (CNRS; University of Grenoble)
- 3. K. Selçuk Candan (Arizona State University)
BibTeX Citation
@inproceedings{agrawal_sigmod23,
title = {{PACMMOD V1 N1 Editorial – Welcome to PACMMOD}},
author = {Agrawal, Divyakant and Amer-Yahia, Sihem and Candan, K. Selçuk},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588046},
url = {https://dl.acm.org/doi/10.1145/3588046},
year = {2023}
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