SICSS 2021 was our largest ever with 20 amazing locations. It was also our second consecutive year of virtual SICSS, because of COVID. This was all made possible because of the support of the amazing SICSS community—Thank you. After 5 years running SICSS, we are happy to announce new plans for SICSS going forward.
First, we are happy to announce a larger, leadership team to SICSS that will include an Advisory Council made up of leaders in the field. Second, we will soon announce plans for an expanded library of video and training materials by a broader range of experts.
To provide room for these new voices to chart the path ahead for SICSS, Matt will be stepping back from his role as co-Director of SICSS. I (Matt) have had such a wonderful time being a part of the SICSS community over the past 5 years. Now it is time for me to step back and for other people to participate in SICSS in new ways.
We are both looking forward to many more years of SICSS,
Chris and Matt
We’ve just completed the 2020 Summer Institutes in Computational Social Science. The purpose of the Summer Institutes is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institutes are for both social scientists (broadly conceived) and data scientists (broadly conceived). This summer all of our Institutes were virtual because of COVID-19, but we will still refer to them by their planned physical location. In addition to SICSS-Duke, which was organized by Chris Bail and Matthew Salganik, there were 7 partner locations run by SICSS alumni.
SICSS-Bay Area organized by Jae Yeon Kim (SICSS-Princeton 19), Jaren Haber (SICSS-Princeton 19), and Nick Camp (SICSS-Princeton 19).
SICSS-Istanbul organized by Akın Ünver (SICSS-Kadir Has University 19) and Matti Nelimarkka (SICSS-Kadir Has University 19, SICSS-Helsinki 18, SICSS-Princeton 17)
SICSS-Maastricht organized by Monika Leszczyńska (SICSS-Princeton 19) and Catalina Goanta
SICSS-Montreal organized by Vissého Adjiwanou (SICSS-Cape Town 18, 19, SICSS-Princeton 17) and Julie Hussin
SICSS-Rutgers organized by Katherine McCabe (SICSS-Princeton 19), Hana Shepherd, and Kira Sanbonmatsu
SICSS-Stellenbosch organized by Aldu Cornelissen (SICSS Cape Town 18), Douglas Parry (SICSS Cape Town 19), and Richard Barnett (SICSS Cape Town 18)
SICSS-UCLA organized by Alina Arseniev-Koehler (SICSS-University of Washington 18, SICSS-UCLA 19), Jennie E. Brand (SICSS-UCLA 19), Pablo Geraldo Bastías (SICSS-UCLA 19), and Bernard Koch (SICSS-UCLA 19)
In addition to the locations that happened virtually, we have 13 locations postponed because of COVID: SICSS-Beijing, SICSS-Chicago, SICSS-Copenhagen, SICSS-HSE University, SICSS-Helsinki, SICSS-Howard-Mathematica, SICSS-Konstanz, SICSS-Milano, SICSS-NYU, SICSS-Oxford, SICSS-Paris, SICSS-Princeton-CITP, and SICSS-Tokyo.
The purpose of this blog post is to describe a) what we did, b) what we think worked well, and c) what we will do differently next time. We hope that this document will be useful to other people organizing similar Summer Institutes, as well as people who are organizing partner locations for the 2021 Summer Institutes in Computational Social Science. If you are interested in hosting a partner location of SICSS 2021 at your university, company, NGO, or governmental organization, please read our information for potential partner locations.
This post includes post-mortem reports from all of our locations in order to facilitate comparisons. As you will see, different sites did things differently, and think that this kind of customization was an important part of how we were successful.
We’ve just completed the 2018 Summer Institutes in Computational Social Science. The purpose of the Summer Institutes are to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institutes are for both social scientists (broadly conceived) and data scientists (broadly conceived). In addition to the site at Duke University, which was organized by Chris Bail and Matt Salganik, there were also seven partner locations run by alumni of the 2017 Summer Institute:
The purpose of this post-mortem blog post is to describe a) what we did, b) what we think worked well, and c) what we will do differently next time. We hope that this document will be useful to other people organizing similar Summer Institutes, as well as people who are organizing partner locations for the 2019 Summer Institutes in Computational Social Science.