Andreas Graefe is a research fellow at the Department of Communication Studies and Media Research at LMU Munich, Germany. He studied economics and information science at the Universities of Regensburg and Zurich and received his PhD in economics from the University of Karlsruhe. Graefe held visiting scholar positions at the University of Pennsylvania and Columbia University. He also spent time working in the private sector for Sky, a German pay-tv company, where he led the CRM Resource Management Department.
Graefe’s main research areas are forecasting and computational journalism. His work on the development and validation of forecasting methods is published in leading journals in various fields. At the Tow Center, Graefe will work on a “Guide to Automated Journalism” and he will study news consumers’ perception of computer-generated news coverage of 2016 US presidential election forecasts.
Get better election predictions by combining diverse forecasts
Aug 31, 2016 11:27 am UTC| Insights & Views Politics Technology
Imagine you are among the legions of pundits and political commentators striving to predict the outcome of Novembers presidential election. Youre not just interested in who will win most citizens can predict that, it...