Data Science on the Front Lines of COVID: Data-Driven Emergency Response Efforts to Save and Protect Lives
![](https://www.mcgill.ca/cand3/files/cand3/styles/fullwidth_breakpoints_theme_moriarty_small_1x/public/channels/image/2023-11-ll_0.jpg?itok=oCSDjWcl×tamp=1697553873)
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This Lunch&Learn session welcomes Emily Daina Šaras, one of CAnD3's valuable team members, for a discussion about the importance of effective data visualizations in responding to public health emergencies.
Itinerary
12:00 - 12:05 | Welcome and introductions
12:05 - 12:45 | Lunch&Learn presentation
12:45 - 12:55 | Moderated Q&A session
12:55 - 13:00 | Closing and upcoming sessions
Location
This is an online webinar hosted on Zoom. To receive details to enter the event, please register.
Featured Speaker
Emily Daina Šaras
CEO & Data Scientist, Knowli Data Science
Emily Šaras serves as the CEO of Knowli, a women-owned research, analytics, and consulting company based in Tallahassee, Florida. Her expertise in data science, academic research, and public policy has been honed through numerous degrees from Wellesley College, Central European University, Northeastern University, and Florida State University. Under her leadership, Knowli has grown to serve governmental, non-profit, and private organizations throughout the Southeast, providing public policy leaders with data-driven decision support.
What are Lunch&Learn's?
The CAnD3 Lunch&Learn series is designed to introduce our Fellows, team members, and partners to emerging research on topics related to population dynamics and population aging. These modules will cover the Four CAnD3 Population Aging Axes: (1) family and social inclusion; (2) education, labour and inequality; (3) migration and ethnicity; and (4) wellbeing and autonomy.
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