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CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20230315T191617Z
DESCRIPTION:LUNCH: \nLunch will be served at 11:45 am. \n\nABSTRACT: \nDat
 a Provenance\, also referred to as Data Lineage\, is metadata that descri
 bes from where a digital artifact came. People have argued that such meta
 data is useful for myriad applications such as reproducibility\, forensic
  analysis\, intrusion detection\, data retention\, regulatory compliance\
 , and more. Unfortunately\, the vast majority of work in the area focuses
  on standardization and collection\, not applications. As a result\, adop
 tion of provenance in industry has been practically non existent. \n\nI'l
 l present a short background and history of research on data provenance f
 ollowed by a discussion of some real applications that we've developed (a
 re developing)\, some challenges in building powerful provenance-based ap
 plications\, and speculation about avenues of further research. \n\nSPEAK
 ER BIO SUMMARY: \nMargo Seltzer https://www.seltzer.com/margo/ is Canada 
 150 Research Chair in Computer Systems and the Cheriton Family chair in C
 omputer Science at the University of British Columbia. Her research inter
 ests are in systems\, construed quite broadly: systems for capturing and 
 accessing data provenance\, file systems\, databases\, transaction proces
 sing systems\, storage and analysis of graph structured data\, and system
 s for constructing optimal and interpretable machine learning models. Rea
 d more: https://bit.ly/dukecs-3apr2023
DURATION:PT1H
DTSTAMP:20230315T193437Z
DTSTART;TZID=America/New_York:20230403T120000
LAST-MODIFIED:20230315T193437Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Data Provenance and its Applications
UID:CAL-8a0290b4-860465b2-0186-e6b3a4e2-00001604demobedework@mysite.edu
URL:https://www.cs.duke.edu/events/node/4209
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 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=tatiana.margitic@duke.ed
 u:Tatiana Margitic
X-BEDEWORK-SPEAKER:Margo Seltzer
X-BEDEWORK-DUKE-SERIES:Duke Computer Science Distinguished Lecture Series
X-BEDEWORK-IMAGE-X1:0
X-BEDEWORK-IMAGE-Y1:0
X-BEDEWORK-IMAGE-X2:530
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X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333
X-BEDEWORK-IMAGE-ALT-TEXT:Data Provenance and its Applications - Duke CS D
 istinguished Lecture Apr 3 with Margo Seltzer - Univ of British Columbia 
 Computer Systems Canada 150 Research Chair and CS Cheriton Family Chair
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
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