BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv5.18.0//EN
X-ORIGINAL-URL:https://canssiontario.utoronto.ca/
BEGIN:VEVENT
UID:MEC-86174520c23c6c61f0f50da7294b9f13@canssiontario.utoronto.ca
DTSTART:20220223T140000Z
DTEND:20220225T230000Z
DTSTAMP:20211116T220000Z
CREATED:20211116
LAST-MODIFIED:20221121
SUMMARY:2022 Workshop on Reproducibility
DESCRIPTION:CANSSI Ontario, and the Data Sciences Institute at the University of Toronto (U of T) are excited to host the 2022 Toronto Workshop on Reproducibility (2022 TWR). This is a three-day workshop bringing together academic and industry participants on the critical issue of reproducibility in applied statistics and related areas.\nThis virtual workshop is free and open to all.\nThe Workshop has three broad focus areas:\n\nEvaluating reproducibility: Systematically looking at the extent of reproducibility of a paper or even in a whole field is important to understand where weaknesses exist. Does, say, economics fall flat while demography shines? How should we approach these reproductions? What aspects contribute to the extent of reproducibility.\nPractices of reproducibility: We need new tools and approaches that encourage us to think more deeply about reproducibility and integrate it into everyday practice.\nTeaching reproducibility: While it is probably too late for most of us, how can we ensure that today’s students don’t repeat our mistakes? What are some case studies that show promise? How can we ensure this doesn’t happen again?\n\nWe intend to record the presentations and will add links to those presentations on this page, after the conference. Again, the workshop.\n \nSponsors\n\n\n\n\n
URL:https://canssiontario.utoronto.ca/event/2022-toronto-workshop-on-reproducibility/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:Toronto Workshop on Reproducibility
LOCATION:Zoom (Online)
ATTACH;FMTTYPE=image/jpeg:https://canssiontario.utoronto.ca/wp-content/uploads/2021/11/Poster_mailchimp-e1669070415911.jpg
END:VEVENT
END:VCALENDAR