Instructor: Luca de Alfaro
Email: luca@ucsc.edu
Chat, hangouts: luca@ucsc.edu
Place and time: Soc Sci 2 363 TTh 2-3:45 (note new location)
Office hours: Mondays 4-5 or by appointment
Discussion Group: Signup, Piazza group
This course explores the foundations of crowdsourcing and computer-mediated collaboration. The course covers the algorithmic and statistical foundations of crowdsourcing, introducing an analyzing algorithms, and experimenting with concrete systems. The algorithms presented will include algorithms for information classification, tagging, ranking, and acquisition.
The course also provides an introduction to computational systems for mediating user interaction and collaboration. In particular, the course will provide a foundation to the design of user reputation systems, and will discuss the issues of incentives to collaboration, and social dynamics induced by algorithm choices. The course will consist of a mix of theoretical lectures and paper discussions. The assigned homework will be a mix of theoretical assignments, data analysis assignments, and programming problems where students are asked to implement and experiment with algorithms.
List of advised reading corresponding to lectures.
Also, here is material from last year's edition of the class, which may still be useful.
You need to be logged in via your @ucsc.edu account to access the above folders.
Please add a description of your project to the above list of projects, and I will add pointers to data and code to that document.
You need to be logged in via your @ucsc.edu account to access the document.
You can use the folder to create a document just for your project. If you write in that documents which experiments you have done and the results you have produced, I can read the document and keep up with the progress, and give you suggestions for things to try.
An approximate syllabus is as follows: