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DTSTART:20190310T070000
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DTSTART:20181104T060000
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UID:69b9ba6bc2e1c
DTSTART;TZID=America/Toronto:20190412T000000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190412T000000
URL:https://uwaterloo.ca/networks-lab/events/fundamentals-automated-content
 -analysis-social-scientists
LOCATION:EV1 - Environment 1 200 University Ave West Room number TBA Waterl
 oo ON N2L 3G1 Canada
SUMMARY:Fundamentals of automated content analysis for social scientists
CLASS:PUBLIC
DESCRIPTION:This one-day workshop offers a practical introduction to fundam
 entals\nand recent developments in automated content analysis. The worksho
 p is\ndesigned with social scientists in mind\, but participants from othe
 r\nfields (including digital humanities) are also welcome. We assume that\
 nparticipants have little to no prior experience with methods\nfor automa
 ted content analysis. 
DTSTAMP:20260317T203243Z
END:VEVENT
BEGIN:VEVENT
UID:69b9ba6bcec17
DTSTART;TZID=America/Toronto:20190410T000000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190411T000000
URL:https://uwaterloo.ca/networks-lab/events/how-analyze-networks-r
LOCATION:EV1 - Environment 1 200 University Ave West TBA Waterloo ON N2L 3G
 1 Canada
SUMMARY:How to analyze networks with R
CLASS:PUBLIC
DESCRIPTION:In this two-day workshop\, you will learn a variety of tools fo
 r\nanalyzing data on social and information networks using the\nprogrammin
 g language R. The first day will be an introduction to R and\nRStudio\, fo
 llowed by a series of classic topics in network analysis\,\nsuch as centra
 lity analysis and community detection. The second day\nwill cover visuali
 zation\, handling extremely dense networks\, and\ndeveloping statistical 
 models for network data. \n\nThe workshop sessions will combine short lec
 tures and demonstrations\nwith hands-on time analyzing your own (or our) n
 etwork data. 
DTSTAMP:20260317T203243Z
END:VEVENT
BEGIN:VEVENT
UID:69b9ba6bcfc42
DTSTART;TZID=America/Toronto:20190408T000000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190409T000000
URL:https://uwaterloo.ca/networks-lab/events/how-partially-automate-literat
 ure-reviews-knowledge
LOCATION:EV1 - Environment 1 200 University Ave West TBA Waterloo ON N2L 3G
 1 Canada
SUMMARY:How to (partially) automate literature reviews for knowledge discov
 ery\nand synthesis
CLASS:PUBLIC
DESCRIPTION:It is more challenging than ever for researchers to be on top o
 f all\nthe latest publications and other developments in their areas of\nr
 esearch\, regardless of their career stage or the fields they work in.\nOn
 e of the main challenges is the exponential growth of publications.\nIn ne
 arly all fields\, there is more work being published every year\nthan any 
 one researcher\, or research team\, can possibly read and\nsynthesize.
DTSTAMP:20260317T203243Z
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