The second COVID-19 Data Forum, co-sponsored by the Stanford Data Science Institute and the R Consortium, was held August 13, 2020. This series of forums brings together experts working to collect and curate data needed to drive scientific research and formulate effective public health responses to the pandemic.
The forum utilized Zoom as the video platform and allowed keynote speakers to present, as well as interact during a Q&A session.
The moderator was Sherri Rose, an associate professor at Stanford University in the Center for Health Policy and Center for Primary Care and Outcomes Research and Co-Director of the Health Policy Data Science Lab.
Speakers covered topics such as current issues facing researchers during the COVID-19 pandemic such as data sharing or research duplication, how phenotype impacts severity of cases, and data inequality for under-serviced communities. Speakers also answered questions from the moderator and the chat about their work and ways individuals can get involved at all R literacy levels.
- Jenna Reps
- Affiliate, OHDSI consortium’s patient-level prediction working group
- Member, Janssen R&D
- Andrea Ganna
- Ken Massey
- Chief Life Sciences Officer, Saama Technologies
- Roni Rosenfeld
- Lead Researcher, Delphi Covid-19 Response Team
- Professor and Head, Machine Learning Department, School of Computer Science, Carnegie Mellon University
See the COVID-19 Data Forum site to learn more about future Data Forum series virtual events!
The post Thank you to our Speakers and Participants – COVID-19 Data Forum II appeared first on R Consortium.