Summer Institute in Computational Social Science
TubeHealth is an independent service and is not affiliated with or endorsed by YouTube or Google.
Data displayed on this page is retrieved via YouTube API Services.
Updated:
Summer Institute in Computational Social Science Channel Description Snapshot
Channel Description
The Summer Institute in Computational Social Science (SICSS) is co-organized by Christopher Bail and Matthew Salganik with the purpose to introduce graduate students, postdoctoral researchers, and beginning faculty to computational social science
The inaugural institute, sponsored by the Russell Sage Foundation, was held at Princeton University from June 18 to July 1, 2017. More details as well as slides and materials for SICSS 2017 are available at https://compsocialscience.github.io/summer-institute/2017/
The second institute, sponsored by the Russell Sage Foundation and the Alfred P. Sloan Foundation, was held at Duke University from June 17 to June 30, 2018. More details as well as slides and materials for SICSS 2018 are available at https://compsocialscience.github.io/summer-institute/2018/
For its third iteration, SICSS will return to Princeton from June 16 to June 29, 2019. Application materials can be found at https://compsocialscience.github.io/summer-institute/2019/
The inaugural institute, sponsored by the Russell Sage Foundation, was held at Princeton University from June 18 to July 1, 2017. More details as well as slides and materials for SICSS 2017 are available at https://compsocialscience.github.io/summer-institute/2017/
The second institute, sponsored by the Russell Sage Foundation and the Alfred P. Sloan Foundation, was held at Duke University from June 17 to June 30, 2018. More details as well as slides and materials for SICSS 2018 are available at https://compsocialscience.github.io/summer-institute/2018/
For its third iteration, SICSS will return to Princeton from June 16 to June 29, 2019. Application materials can be found at https://compsocialscience.github.io/summer-institute/2019/
About This Page
Methodology: This page displays a snapshot of publicly available creator information retrieved via YouTube API Services.
Snapshot
Snapshot Date:
Data Source: Public data retrieved via YouTube API Services
Data is refreshed at least once every 30 days.