Event Details
In the absence of vaccines and treatments policy makers and public health professionals have had to rely on non-pharmaceutical interventions (NPIs) like physical distancing to mitigate Covid-19, flatten the curve of new cases and reduce pressures on hospitals and health systems. Aggregated population mobility data collected from Facebook and other providers has emerged as an essential source of information enabling monitoring of NPIs, analysis of risk factors, and increasingly modeling of impact on viral spread. In order to facilitate this analysis and regularly inform public sector agencies Direct Relief is collaborating with researchers at Harvard TH Chan School of Public Health to co-coordinate the Covid-19 Mobility Data Network (covid19mobility.org), which links infectious disease researchers and data scientists in a voluntary effort to use aggregated mobility data for response to Covid-19.
- Monday — May 11, 2020
5:00PM - 6:00PM - Virtual
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The Organizer
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.