---------- Forwarded message ---------- From: Joshua Blumenstock <joshblum@uw.edu> Date: Thu, Feb 14, 2013 at 7:09 PM Subject: Independent study on Networks VIsualization in Developing Countriers To: Nicola Dell <nixdell@cs.washington.edu> Hi Nicola, if appropriate, would you mind forwarding the following announcement to the Change group? Thanks, Josh ----- Spring Quarter Independent Study: *Visualizing the Dynamics of Massive Communications Networks* (2-3 credits) What does an evolving social network of millions of individuals look like? If the network is shocked by outside events, how can you show these events percolating through the network? Through this independent study, students will develop several static images and animations to help reveal the underlying structure in a massive dataset of mobile phone communications. The instructor is seeking 1-2 highly qualified and motivated students to prototype these visualizations. Examples of past work completed through this independent study can be seen at http://youtu.be/-uShJaGOkc4 and http://youtu.be/DoWC85nwUeY. Qualified students must have prior experience developing visualizations from data, and must have expertise in at least one programming language (python, php, C/C++/C#, or Java) or statistical package (R or MatLab). No exceptions will be made to these requirements. Experience with visualization packages and software (Processing, ArcGIS, Tableau, UCINet, etc.) is highly desirable but not required. Students should be highly motivated, capable of working independently, and have a strong sense of design. Enrollment is by permission of instructor. Interested and qualified students should contact Joshua Blumenstock (joshblum@uw.edu) and include the following information in single .pdf file, in an email with the subject "[SPRING2013] Independent Study Application": 1. Your name, the degree you are pursuing, and the name of you academic advisor 2. A list of completed courses that are relevant to the independent study 3. A resume or description of practical experience that is relevant to the independent study 4. Copies or links to visualizations you have created 5. Links to 2-3 visualizations of data that you find particularly compelling, and which you think you are capable of reproducing. For each of these visualizations, indicate what language/package you would use, outline the key steps in the analysis, and indicate approximately how many hours it would take you to complete the reproduction. ----- Joshua Blumenstock University of Washington The Information School Seattle, WA 98195-2840