Conferences / ACM SIGMOD/PODS (International Conference on Management of Data)
SIGMOD/PODS 2021
Jun 20–25, 2021 · Xi'an, Shaanxi, China
- Conference
- ACM SIGMOD/PODS (International Conference on Management of Data) Academic
- Dates
- Jun 20, 2021 – Jun 25, 2021
- Venue
- —
- Place
- Xi'an, Shaanxi, China
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- 2021.sigmod.org
- Recorded
- 25 sponsors · 3 speaker appearances
- Notes
- Primarily a virtual conference with a local physical event in Xi'an (onsite registration for attendees in China). speakers: keynotes only. Fee table comes from a registration page for 2021 that is still served (stale) on the 2022 site; it gives early-bird 10 May 2021 / final 30 May 2021 deadlines. Sponsor wall split Onsite vs Online sponsors, but which logo belongs to which column can't be told from the archived text.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Online attendee, student (early bird) | $0 | May 10, 2021 | 2022.sigmod.org | |
| Online attendee, ACM/SIGMOD member (early bird) | $10 | May 10, 2021 | 2022.sigmod.org | |
| Online attendee, non-ACM/SIGMOD member (early bird) | $20 | May 10, 2021 | 2022.sigmod.org | |
| Author registration (workshop) | $100 | May 10, 2021 | 2022.sigmod.org | |
| Author registration (paper/demo/industry) | $300 | May 10, 2021 | 2022.sigmod.org | |
| Onsite (Xi'an), student (early bird) | CN¥2,000 | May 10, 2021 | 2022.sigmod.org | |
| Onsite (Xi'an), non-student (early bird) | CN¥3,000 | May 10, 2021 | 2022.sigmod.org | |
| Online attendee, student (final) | $10 | May 30, 2021 | 2022.sigmod.org | |
| Online attendee, non-ACM/SIGMOD member (final) | $50 | May 30, 2021 | 2022.sigmod.org | |
| Online attendee, ACM/SIGMOD member (final) | $50 | May 30, 2021 | 2022.sigmod.org | |
| Onsite (Xi'an), non-student (final) | CN¥4,000 | May 30, 2021 | 2022.sigmod.org | |
| Onsite (Xi'an), student (final) | CN¥4,000 | May 30, 2021 | 2022.sigmod.org |
Sponsors 25
Speakers and talks 3
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Jianzhong Li | Shenzhen Institute of Advanced Technology / Harbin Institute of Technology | Keynote | Complexity Theory and Efficient Algorithms for Big Data Computation with Limited Computing Resources | — |
| Kenneth A. Ross | Columbia University | Keynote | Utilizing (and Designing) Modern Hardware for Data-Intensive Computations: The Role of Abstraction | — |
| Wang-Chiew Tan | Meta | Keynote | Deep Data Integration | — |