My colleague, Matt Salganik, and Chris Bail are running a Summer Institute
in Computational Social Science.  Last year was the inaugural event and it
went incredibly well.  I encourage anyone interested in computational
social science to apply!  See more details below.

Brandon

2018 Summer Institute in Computational Social Science
<https://compsocialscience.github.io/summer-institute/2018/>

From the evening of Sunday, June 17 to the morning of Saturday, June 30,
2018, the Russell Sage Foundation will sponsor the Summer Institute in
Computational Social Science, to be held at Duke University. The purpose of
the Summer Institute is to bring together graduate students, postdoctoral
researchers, and beginning faculty interested in computational social
science. The Summer Institute is for both social scientists (broadly
conceived) and data scientists (broadly conceived). The co-organizers and
principal faculty of the Summer Institute are Christopher Bail and Matthew
Salganik.

The instructional program will involve lectures, group problem sets, and
participant-led research projects. There will also be outside speakers who
conduct computational social science research in academia, industry, and
government. Topics covered include text as data, website scraping, digital
field experiments, non-probability sampling, mass collaboration, and
ethics. There will be ample opportunities for students to discuss their
ideas and research with the organizers, other participants, and visiting
speakers. Because we are committed to open and reproducible research, all
materials created by faculty and students for the Summer Institute will be
released open source.

Participation is restricted to Ph.D. students, postdoctoral researchers,
and untenured faculty within 7 years of their Ph.D. Most participant costs
during the workshop, including housing and most meals, will be covered, and
most travel expenses will be reimbursed up to a set cap. About thirty
participants will be invited. Participants with less experience with social
science research will be expected to complete additional readings in
advance of the Institute, and participants with less experience coding will
be expected to complete a set of online learning modules on the R
programming language. Students doing this preparatory work will be
supported by a teaching assistant who will hold online office hours before
the Institute.

Application materials should be received by Monday, February 19, 2018.
https://compsocialscience.github.io/summer-institute/2018/

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