Reynold Cheng
January 26, 2022
Data Science for Social Good: the STAR Mission
Data Science for Social Good, or DSSG, broadly refers to the use of data engineering and analysis solutions in the social work domain. I am interested in this field, because it gives me a chance to understand how database technologies can be used in a domain whose data-driven approaches are only in its infancy. Moreover, […]
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Georgia Koutrika
January 25, 2022
ACM SIGMOD Blog is 10 years old
This year, ACM SIGMOD Blog celebrates its tenth anniversary. During this decade, it has hosted over 60 prominent researchers and professionals from the industry and academia, with an ACM Turing Award recipient, three ACM Fellows, four winners of the ACM SIGMOD Innovations Award, and two recipients of VLDB 10-Years Best Paper Award, among the many […]
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Arun Kumar
November 10, 2021
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?
For almost 30 years, the DB / data management community has intensively studied the vexing pains of data integration, cleaning, and transformation. This research has largely been in the contexts of RDBMSs, SQL-oriented business intelligence (BI), and knowledge base construction. But as the emerging interdisciplinary field of Data Science gains prominence, the massive pain of […]
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SIGMOD EC
July 2, 2021
SIGMOD EC on diversity and inclusion
Dear SIGMOD members, We are committed to ensuring that all SIGMOD activities are carried out in an inclusive and diverse environment and we do not tolerate discrimination, harassment, or any other form of misconduct as defined in the ACM code of conduct. We appreciate ACM’s confirmation of these commitments in response to the controversy surrounding […]
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Sourav Bhowmick
May 24, 2021
The End of Manual Checking Era: It’s Time for Automating Conflicts of Interest Management in Peer-Reviewed Venues
Our professional societies (e.g., ACM, IEEE, VLDB Endowment) have worked hard to ensure that peer review processes in conferences and journals are fair and continue to fulfill their intended purposes. Our community has introduced refinements such as double blind reviews, automated matching of reviewers to topics and to individual papers, multiple submission deadlines, opportunities for […]
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