Course Summary: This 5-day short course, which will take place from July 16-20, 2018, will serve as an introduction to the theory and practice of social network analysis (SNA). Where standard statistical analysis assumes that observations on different entities (people, organizations, animals, etc.) are independent, SNA looks to the relationships among these observations to try to explain why this configuration of relationships might exist, or how this network structure explains other attributes of the network. While network science has a long tradition, this field has recently exploded with new data resources in social media and new computational methods, particularly in the application to socio-environmental systems. Learn more about the course here.
To Apply: online application includes questions about the applicant’s interests and expectations for the course, their background, and a resume or CV. Response to application questions should explain how the course relates to the applicant’s work, a brief description of the system or problem they would like to model, and how this course’s content and intensive structure will benefit their work. Participants will be selected based on likelihood to benefit from the course, and how well background, interests, expectations, and ideas for a simple model fit with the course material. Additional factors such as career stage, research field, ethnicity, and gender will also be considered to ensure diversity.
If travel assistance is requested, space will be provided in the online application form to describe the applicant’s circumstances that clearly demonstrate the need for financial assistance.