Malka Guillot: Catalogue data in Spring Semester 2021

Name Dr. Malka Guillot
Address
Recht, Ökonomie und Datenwiss.
ETH Zürich, IFW E 44
Haldeneggsteig 4
8092 Zürich
SWITZERLAND
E-mailmalka.guillot@gess.ethz.ch
URLhttps://lawecon.ethz.ch/group/scientific-team/guillot.html
DepartmentHumanities, Social and Political Sciences
RelationshipLecturer

NumberTitleECTSHoursLecturers
860-0033-00LBig Data for Public Policy Information Restricted registration - show details
Only for Master students and PhD students.
3 credits2GE. Ash, M. Guillot
AbstractThis course provides an introduction to big data methods for public policy analysis. Students will put these techniques to work on a course project using real-world data, to be designed and implemented in consultation with the instructors.
ObjectiveMany policy problems involve prediction. For example, a budget office might want to predict the number of applications for benefits payments next month, based on labor market conditions this month. This course provides a hands-on introduction to the "big data" techniques for making such predictions.
ContentMany policy problems involve prediction. For example, a budget office might want to predict the number of applications for benefits payments next month, based on labor market conditions this month. This course provides a hands-on introduction to the "big data" techniques for making such predictions. These techniques include:

-- procuring big datasets, especially through web scraping or API interfaces, including social media data;
-- pre-processing and dimension reduction of massive datasets for tractable computation;
-- machine learning for predicting outcomes, including how to select and tune the model, evaluate model performance using held-out test data, and report results;
-- interpreting machine learning model predictions to understand what is going on inside the black box;
-- data visualization including interactive web apps.

Students will put these techniques to work on a course project using real-world data, to be designed and implemented in consultation with the instructors.