My colleague, Matt Salganik, and Chris Bail are running the 3rd Summer
Institute in Computational Social Science and invite applications. The
event has grown substantially over the last couple of years and will have
numerous partner locations this year run by alumni of previous events. See
more details below.
- Brandon
Summer Institute in Computational Social Science - June 16 - 29, 2019
Application deadline: Wednesday, February 20, 2019
https://compsocialscience.github.io/summer-institute/2019/
The Russell Sage Foundation and the Alfred P. Sloan Foundation will sponsor
the 3rd Summer Institute in Computational Social Science (SICSS), to be
held at Princeton University on June 16- 29, 2019. The institute will
bring together about 30 graduate students, postdoctoral researchers, and
beginning faculty interested in computational social science (CSS). The
institute is for both social scientists (broadly conceived) and data
scientists (broadly conceived). The co-organizers and principal faculty
are Christopher Bail (Duke) and Matthew Salganik (Princeton). In addition
to the event at Princeton, there will also be several partner locations run
by alumni of the 2017 and 2018 SICSS, which will be held at other
universities.
The program will involve lectures, group problem sets, and participant-led
research projects. There will also be outside speakers who conduct CSS
research is a variety of settings, such as 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.
Participants with less experience with social science research will be
expected to complete additional readings in advance, and participants with
less experience coding will be expected to complete a set of online
learning modules on the R programing language. Students doing this
preparatory work will be supported by a teaching assistant who will hold
online office hours during the two months before the institute.
We welcome applicants from all backgrounds and fields of study, especially
applicants from groups currently under-represented in computational social
science. We evaluate applicants along a number of dimensions: 1) research
and teaching in the area of computational social science 2) contributions
to public goods, such as creating open source software, curating public
datasets, and creating educational opportunities for others 3) likelihood
to benefit from participation 4) likelihood to contribute to the
educational experience of other participants 5) potential to spread
computational social science to new intellectual communities and areas of
research. Further, when making our evaluations, attempt to account for an
applicant’s career stage and previous educational opportunities.
More information about the SICSS, including materials from previous years,
can be found at: https://compsocialscience.github.io/summer-institute/2019/
**************************************************************
Political Methodology E-Mail List
Editor: Erin Rossiter <[log in to unmask]>
**************************************************************
Send messages to [log in to unmask]
To join the list, cancel your subscription, or modify
your subscription settings visit:
https://www.cambridge.org/core/membership/spm/mailing-list
**************************************************************
|
