Joint MZES-SFB Workshop: Political Forecasting

Programme:

Please see link below.

Content:

Political scientists increasingly have a wealth of traditional (polling data) and non-traditional (political textual data) information at their disposal that they can use to help make predictions or forecasts about the future. This workshop will bring together academic and industry perspectives on how to generate good political models for forecasting in an era of plentiful (or too much) data. A concluding roundtable discussion will focus on the possible benefits and pitfalls of incorporating non-traditional data (such as political texts, tweets, etc.) into forecast models.

Keynote:

Keynote speaker is Dr. Drew Linzer. Drew Linzer is a statistician and survey scientist in Oakland, CA. He was previously an Assistant Professor of Political Science at Emory University and professional pollster in California and Washington, DC. His research has appeared in the American Political Science Review, Journal of the American Statistical Association, International Journal of Forecasting, Political Analysis, Political Science Research and Methods, Journal of Politics, World Politics, Social Science & Medicine, and the Journal of Statistical Software. He holds a PhD in Political Science from the University of California, Los Angeles.