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[Commlist] Summer Institute in Computational Social Science (SICSS)
Tue Feb 07 17:35:07 GMT 2023
from Monday, July 24 to Friday, August 04, 2023, the Summer Institute in
Computational Social Science (SICSS) will host a partner location at the
University of Munich.
The purpose of SICSS Munich is to bring together interested Master
students, PhD students, postdoctoral students, and faculty in Germany.
The Summer Institute is for both social scientists (broadly conceived)
and data scientists (broadly conceived).
The instructional program will involve lectures and group problem sets
in the first week and participant-led research projects in the second
week. Participants will be able to work in teams to learn how to
implement the material from the lectures. Covered topics include
collecting digital trace data, automated text analysis, transparent and
reproducible research, and research ethics. There will be ample
opportunities for students to discuss their ideas and research with the
organizers, other participants, and visiting speakers. One goal of this
partner location is to build and expand the network of computational
social scientists in Germany.
We are inviting applications from Master (graduate) students, PhD
students, postdoctoral researchers, and faculty. Participants are
expected to fully attend and participate in the entire two-week program.
Participants with less experience with social science research will be
expected to complete additional readings in advance of the Institute,
and participants with less coding experience will be expected to
complete a set of online learning modules on the R programming language.
Participation in the summer institute is free of charge. We are
currently seeking out for additional funding sources and might be able
to cover some additional expenses for a small number of participants.
However, please note that as of now, we are unable to provide funding
for housing or related expenses.
Please visit our website for additional details about how to apply:
https://sicss.io/2023/munich/
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