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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260707T072143Z
DTSTART;VALUE=DATE:20261002
DTEND;VALUE=DATE:20261212
SUMMARY:Online Course in Social Network Analysis (Mitchell Centre)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}xl-mrabm4du
 -nu9kdf
DESCRIPTION:The Mitchell Centre for Social Network Analysis at the Univer
 sity of Manchester is excited to introduce a new semester-long online co
 urse called the Mitchell Autumn School on Social Network Analysis\, taug
 ht by the centre’s 8 academic members. Unlike short workshops\, this sem
 ester-long format provides the depth and pace of a traditional academic 
 seminar. This extended timeline allows participants to thoroughly digest
  complex concepts\, complete weekly practical exercises\, and gradually 
 build confidence in SNA methods. Participants will be given a certificat
 e of completion at the end of the course.  \n \nCourse Content\nThis is 
 a core introductory course in network analysis for social scientists. Th
 e course covers the main network-analytic concepts\, theories\, and meth
 ods\, alongside hands-on techniques for data collection\, visualisation\
 , and processing using the UCINET software. No prior experience is requi
 red.\n \nCourse Structure\nThe course will last for 10 weeks\, starting 
 in the first week of October. The optional 11th week will consist of con
 sultations on participants’ network-related projects with the Mitchell C
 entre’s academic experts. Participants may receive feedback on research 
 design\, data collection\, or data analysis for their own network-relate
 d projects.\n \nThe weekly seminars will follow a flipped classroom form
 at. Each week\, participants will receive pre-recorded lectures\, readin
 gs\, and practical exercises to complete in their own time. They will th
 en meet online with the instructors for a one-hour seminar to discuss th
 e material\, ask questions\, and take part in interactive activities. We
  will aim to schedule the seminar at a time that accommodates participan
 ts across multiple time zones.\n \nInstructors\nThe course will be taugh
 t by experts from the Mitchell Centre (Filip Agneessens\, Nikita Basov\,
  Elisa Bellotti\, Nick Crossley\, Tomáš Diviák\, Martin Everett\, Michae
 l Genkin\, and Philip Leifeld). The course will draw on two textbooks au
 thored by members of the teaching team:\n•       Analysing Social Networ
 ks by Stephen Borgatti\, Martin Everett\, Jeffrey Johnson\, and Filip Ag
 neessens   \n•       Social Network Analysis for Ego-Nets by Nick Crossl
 ey\, Elisa Bellotti\, Gemma Edwards\, Martin Everett\, Johan Koskinen\, 
 and Mark Tranmer\n \nFees\n•       General Rate: £470 (until 15 Septembe
 r)\; £570 thereafter.\n•       Student and Reduced Rate (see below): £35
 0 (until 15 September)\; £450 thereafter.\n \nTo make the course accessi
 ble to a wide audience\, we have adopted a dual fee structure based on t
 he World Bank's classification of economies (A\, B\, and C)\, which is a
 lso used by the International Sociological Association (ISA).\n \nAll at
 tendees from A economies who are employed in academic or commercial orga
 nisations are expected to pay the general rate. Students (including PGRs
 /PhD students)\, those who are unemployed or employed in charities or th
 ird sector organisations\, and all those attending from B/C economies\, 
 are eligible for the reduced rate.\n \nFor more information about this c
 lassification\, see here [isa-sociology.org]\, and contact us if you hav
 e any questions.\n \nRegistration\nPlaces are limited and will be alloca
 ted on a first-come\, first-served basis. Please register your interest 
 using the Mitchell Centre 2026 Autumn School Registration Form https://u
 rldefense.com/v3/__https:/forms.cloud.microsoft/Pages/ResponsePage.aspx?
 id=B8tSwU5hu0qBivA1z6kad69sWyoT-01CqdNIjimpqPBUQzFZQjM1UVNUV1BKUUdVRjc4Q
 lg5MzZPVy4u__\;!!PDiH4ENfjr2_Jw!Gk2lL5awz8d4mUPzyO4YKYb89YD7TvRs5tI7HL9K
 fh-YJqgHCnyD35S-D3cvEfnvpUlaDFjXsiu5mLPPfTE4T-cNaeE$ \n\nWe will contact
  applicants in August with payment instructions.\n \nIf you have any que
 stions\, please do not hesitate to get in touch.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:ONLINE
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