Machine Learning and Data Science in Politics
Jan Stuckatz explains his project "Political Alignment of firms and Employees: The Role of Offshorability" to Dr. Chih-Cheng Meng.
Background: Lukas Wolters discusses his project with Professor Ariel White.
Professor In Song Kim hosted two poster sessions on May 16th and the 18th. Undergraduate students in his 17.835 ("Machine Learning and Data Science in Politics") presented the results of their group semester projects. In all,15 projects were presented by students from a variety of courses (1, 2, 3, 6, 10, 11, 14, 15, 16, 17, 18, 22, and 24).
Two days later, graduate students in Course XVII presented their semester research from 17.806, Quantitative Research Methods IV. The second session served as a venue to present their research projects at an early stage in their program, for some lively discussion and feedback amongst the graduate student community.
Thank you to everyone who joined and shared ideas, and especially to all of the students who worked so hard to produce so many interesting projects!
