SICSS Boulder 2018 Application
Thank you for your interest in the 2018 Summer Institute for Computational Social Science at the University of Colorado Boulder. The event will take place August 13-17 at the Institute of Behavioral Science.

If you are interested in attending SICSS Boulder 2018, please complete this application. Space for this inaugural summer institute will be limited to approximately 30 people. Meals and beverages during the institute will be provided, but we unfortunately cannot provide funding for travel or accommodation. Accepted participants should already have or be willing to develop basic proficiency with computational reasoning/programming skills in Python and/or R before attending the program. Applications are due by June 1 and additional logistical details will be shared over the summer.

The University of Colorado Boulder prohibits discrimination, harassment and/or related retaliation in its educational programs and activities. This policy covers protected classes including race, color, national origin, sex, pregnancy, age, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. We very strongly encourage applications from people traditionally under-represented in computing.

Last Name *
Your answer
First Name *
Your answer
Academic e-mail address: *
Your answer
With what gender do you identify?
With what department, program, center, or other unit are you primarily affiliated? *
Your answer
What best describes your current position? *
How familiar are you with the following computing environments for data analysis? (This is informational and will not be used for admission purposes.)
Never heard of it
Heard of it
Use infrequently
Use monthly
Use weekly
Use daily
Python
R
SPSS
Stata
MATLAB
Julia
Excel
SAS
Mathematica
Tableau
How familiar are you with the following methods? (This is informational and will not be used for admission purposes.)
Never heard of it
Heard of it
Use infrequently
Use monthly
Use weekly
Use daily
Web scraping
API access
Mechanical Turk
Network centrality
Community detection
Sentiment analysis
Topic modelling
N-grams
Matching
Difference-in-differences
Instrumental variable
In no more than a paragraph, describe how computational social science methods could enable your research. *
Your answer
In no more than a paragraph, give your working definition of computational social science. You could include a case study or reference a research paper/presentation. *
Your answer
In no more than a paragraph, summarize a case study that illustrates the challenges of using computational methods to understand social phenomena. *
Your answer
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