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---------- Forwarded message ----------
Date: Thu, 24 Nov 2016 13:11:21 +0100
From: VAN METER Karl <[log in to unmask]>
Reply-To: [log in to unmask], VAN METER Karl <[log in to unmask]>
To: [log in to unmask], [log in to unmask]
Cc: [log in to unmask]
Subject: [bms-rc33] [UTF-8] Call - 9th RSiena Winter School on Longitudinal
     Social Network Analysis (6-10 Feb, Norrköping SE)

>> Consider submitting your methodologically interesting articles to the BMS <<
Thanks to Christian Steglich

Deadline: 9 December 2016

Dear colleagues,

Registration is now open for


Both events will take place at the INSTITUTE FOR ANALYTICAL SOCIOLOGY
(Norrköping, Sweden) in the week of 6-10 FEBRUARY 2017.

Details about the content of these meetings and the registration
procedure can be found at the Winter School's website [1] .

We hope to meet many of you in February!

Christian Steglich, Åsa Wallhagen & Niclas Lovsjö

Phone: +46 (0)11-363 361
Visiting address: Kopparhammaren 2, Norra Grytsgatan 10, Campus
Please visit us at [2]




9th Winter School on Longitudinal Social Network Analysis and Advanced Siena 
Users meeting (AdSUM-2017)
6-10 February 2017, Linköping University, Campus Norrköping



The 9th Winter School on Longitudinal Social Network Analysis and the 2017 
Advanced Siena Users Meeting (AdSUM-2017) will take place in the week of 6-10 
February 2017 in Norrköping, Sweden. The meetings are organised at the 
Institute for Analytical Sociology by Christian Steglich, Åsa Wallhagen, and 
Niclas Lovsjö.

The 9th Winter School on Longitudinal Social Network Analysis
The 9th Winter School on Longitudinal Social Network Analysis will take place 
on Monday till Wednesday. It introduces participants to the analysis of 
longitudinal, group-centered network data by way of stochastic, actor-based 
models (Snijders, van de Bunt & Steglich, 2010), and to the analysis of peer 
influence processes taking place in such dynamically changing networks 
(Steglich, Snijders & Pearson, 2010). Objective of the winter school is that 
course participants develop an understanding of the models, familiarise 
themselves with the use of theRSiena software for model estimation, and learn 
how to tell a good model specification from a bad one. The winter school will 
be taught by Christian Steglich with support by Niclas Lovsjö. Previous 
editions of this winter school took place at the University of Groningen 
(2005-2015) and at the ETH Zürich (2016).

The AdSUM-2017 Advanced Siena Users meeting
The AdSUM-2017 Advanced Siena Users meeting will take place on Thursday and 
Friday. It will on the one hand address advanced topics and introduce to new 
developments in RSiena, such as the multilevel analysis of multi-group data 
with the help of random effects models instantiated in the 
sienaBayes()-function. Teachers of this part are Tom Snijders and Johan 
Koskinen. On the other hand, there will be a Master Class in which papers of 
participants are discussed. The procedure for the master class is as follows: 
Abstracts of participants that would like to present a paper can be submitted 
before December 15. Within one week after this deadline, authors will be 
informed about acceptance. For accepted abstracts, the authors are expected to 
submit papers for discussion until January 20. The papers should have a length 
of no more than 15 pages, and be accompanied with an R-script and data, so the 
analysis can be reproduced. Paper discussants will be Tom Snijders, Christoph 
Stadtfeld, Per Block, and the local organisers.

For both the Winter School and the Advanced Siena Users Meeting, researchers 
who are in the process of collecting or analysing own longitudinal data sets 
are especially welcome to participate and, if possible, bring their own data. 
For participants without own data, sample data sets will be made available.

Prerequisites for participation in the Winter School
Prerequisites for participation in the Winter School are familiarity with basic 
social network analysis, some knowledge of intermediate statistics (including 
logistic regression analysis), and basic familiarity with the R statistical 
software environment. For the AdSUM-2016 a good knowledge of RSiena and 
stochastic actor-based models for network evolution is important.

You can register by filling in the registration form (see link at the bottom of 
this page). The maximum number of participants per course module is 30; for the 
Master Class, we handle a maximum of five presenters. For those who register 
after the maximum number is reached, a waiting list will be created.

Registration fees
Registration fees depend on intended participation and job status, as indicated 
in the following table.

Job status	Winter School  	AdSUM-2017
Non-academics, academic staff & postdocs	2400 SEK (~  240)	1600 
SEK (~ 160)
Students & graduate students	1650 SEK (~  165)	1100 SEK (~  110)
Fees include course materials, coffee breaks (morning and afternoon), and 
internet access (WiFi). Participants are expected to bring their own computer 
for lab exercises. Hotel accommodation, lunches and dinners are not included in 
the registration fee.

If you want to participate, please fill in the registration form no later than 
December 9, 2016. Further information about accommodation in Norrköping and 
preparation for the course will be made available shortly.

For an overview of earlier Winter Schools on Longitudinal Social Network 
Analysis, click here.

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Kopparhammaren 2, office 2048
IAS / Visiting lecturer

+46 11 363301
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Kopparhammaren 2, rum 3027
IAS / Coordinator

+46 11363356
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Kopparhammaren 2, office 3055
IAS / PhD Student

* Karl M. van Meter              BMS, Bulletin de Methodologie Sociologique
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