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UID:20251105T200030EST-5058wtkdkI@132.216.98.100
DTSTAMP:20251106T010030Z
DESCRIPTION:Register Here\n\nThis 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. \n\n\nItinerary \n\n12:00 - 12:05 | Welcome and introduction
 s\n\n12:05 - 12:45 | Lunch&Learn presentation\n\n12:45 - 12:55 | Moderated
  Q&A session\n\n12:55 - 13:00 | Closing and upcoming sessions\n\nLocation
 \n\nThis is an online webinar hosted on Zoom. To receive details to enter 
 the event\, please register.  \n\n\nFeatured Speaker\n\n\n\nEmily Daina Ša
 ras\n\nCEO & Data Scientist\, Knowli Data Science\n\n\n\nEmily Šaras serve
 s as the CEO of Knowli\, a women-owned research\, analytics\, and consulti
 ng company based in Tallahassee\, Florida. Her expertise in data science\,
  academic research\, and public policy has been honed through numerous deg
 rees from Wellesley College\, Central European University\, Northeastern U
 niversity\, and Florida State University. Under her leadership\, Knowli ha
 s grown to serve governmental\, non-profit\, and private organizations thr
 oughout the Southeast\, providing public policy leaders with data-driven d
 ecision support.\n\n\nWhat are Lunch&Learn's?\n\nThe CAnD3 Lunch&Learn ser
 ies 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.\n\n\nCAnD3 Newsl
 etters\n\nSign up for our newsletter to keep up to date with CAnD3 events.
 \n
DTSTART:20231108T170000Z
DTEND:20231108T180000Z
LOCATION:CA\, QC\, Online via Zoom
SUMMARY:Data Science on the Front Lines of COVID: Data-Driven Emergency Res
 ponse Efforts to Save and Protect Lives
URL:/cand3/channels/event/data-science-front-lines-cov
 id-data-driven-emergency-response-efforts-save-and-protect-lives-351649
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