Summer Institute in Computational Social Science 2022

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This summer, the University of Edinburgh will be hosting its first ever Summer Institute in Computational Social Science (SICSS). SICSS is a worldwide endeavour connecting higher education institutions to help teach and advance the use of computational methods in the social sciences. This year, it will run in over thirty separate locations.

 

The summer school will be led by Christopher Barrie (Research Training Centre), alongside Karen Gregory, Walid Magdy, Björn Ross, and Tod Van Gunten. It will take the form of one week of intensive computational methods training and one week of group projects. In the first week, students will learn a range of techniques—from web scraping and text analysis to machine learning pipelines and geocomputation. Each day, the group will hear one or more talks from leading figures in the field of computational social science. At the end of the school, participants will have the opportunity to present any initial findings and results of their work to the group.  

 

Details of how to apply to the summer school are now online. SICSS-Edinburgh will be open to advanced graduate students and beyond from around the globe. There is also an option to apply for a scholarship to pay for travel and accommodation in Edinburgh. Priority for the scholarship will go to applicants who can make a case for needing additional funding. In addition, SICSS-Edinburgh is committed to boosting representation in this field and welcomes applications from groups traditionally underrepresented in computational science.  

 

Find out more about SICSS Edinburgh.

 

 

Photo by Fabio Ballasina on Unsplash

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The Research Training Centre applies expertise in a diverse set of social science methods, through teaching and research. The Centre provides new insights to the key challenges in society.

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