Conferences / ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
KDD 2020 (virtual)
Aug 23–27, 2020 · San Diego, CA, United States Online
- Conference
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Data science & ML
- Dates
- Aug 23, 2020 – Aug 27, 2020
- Venue
- —
- Place
- San Diego, CA, United States
- Format
- Online
- Status
- Past
- Attendance
- —
- Website
- kdd.org
- Recorded
- 15 sponsors · 22 speaker appearances
- Notes
- speakers: keynotes + ADS invited talks only. Originally planned for San Diego; moved fully virtual because of COVID-19. Home page mentions five keynote speakers but the keynote page lists four; keynote talk titles not listed. Sponsors: one entry per company at its highest listed role (one Silver slot had a broken image).
Ticket prices
Sponsors 15
Speakers and talks 22
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alessandro Vespignani | Northeastern University | Keynote | — | — |
| Emery Brown | Massachusetts Institute of Technology | Keynote | — | — |
| Manuela M. Veloso | Carnegie Mellon University | Keynote | — | — |
| Yolanda Gil | Information Sciences Institute, University of Southern California | Keynote | — | — |
| Alon Halevy | Meta | ADS invited talk | Preserving Integrity in Online Social Media | — |
| Anima Anandkumar | NVIDIA & Caltech | ADS invited talk | Next-generation frameworks for Large-scale AI | — |
| Ashwin Ram | ADS invited talk | Innovating with Language AI | — | |
| Daniel Marcu | Amazon Web Services | ADS invited talk | Straddling the boundary between contribution and solution driven science | — |
| Dawn Woodard | Uber | ADS invited talk | Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets | — |
| DJ Patil | Devoted Health | ADS invited talk | A perspective from the first U.S. Chief Data Scientist | — |
| Dorin Comaniciu | Siemens | ADS invited talk | Artificial Intelligence for Healthcare | — |
| Fernando Pereira | ADS invited talk | Representation learning, inference, and reasoning | — | |
| Jan Schellenberger | GRAIL | ADS invited talk | Using Machine Learning to Detect Cancer Early | — |
| Kristian Lum | HRDAG (Human Rights Data Analysis Group) | ADS invited talk | Fairness, Accountability, and Transparency in predictive models in criminal justice | — |
| Michael Li | Coinbase | ADS invited talk | Build the State-of-the-art Machine Learning Technology for the Crypto Economy | — |
| Mona Diab | Facebook Research | ADS invited talk | Data Paucity and Low Resource Scenarios: Challenges and Opportunities | — |
| Nhung Ho | Intuit | ADS invited talk | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis | — |
| Saleema Amershi | Microsoft | ADS invited talk | Toward Responsible AI by Planning to Fail | — |
| Shalini Ghosh | Samsung Electronics | ADS invited talk | Multimodal Machine Learning for Video and Image Analysis | — |
| Taha Kass-Hout | Amazon Web Services | ADS invited talk | AI: Healthcare's prescription for transformation | — |
| Timnit Gebru | ADS invited talk | Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning | — | |
| Wang-Chiew Tan | Megagon Labs | ADS invited talk | Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens | — |
Sources
- https://www.kdd.org/kdd2020/
- https://www.kdd.org/kdd2020/sponsors.html
- https://www.kdd.org/kdd2020/attending/Registration.html
- https://web.archive.org/web/20200813062709/https://www.kdd.org/kdd2020/speakers/keynote-speakers
- https://web.archive.org/web/20200813054302/https://www.kdd.org/kdd2020/speakers/applied-data-science-invited-speakers