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McKelvey School of Engineering

Brown School

The Future is not Set: Visual Decision-Making with Predictive Models

Monday, April 1 | 11:30 AM - 12:30 PM

McKelvey Hall, 1020

Fumeng Yang
Postdoctoral Fellow 
Northwestern University

Predictions, such as COVID forecasts and AI recommendations, are now commonly seen in our daily lives and integrated into workflows.  However, these predictions come with inherent imperfections—such as error and uncertainty—that raise significant challenges for individuals trying to understand them and make appropriate decisions. My research tackles the problems of trust in predictive models and decision-making. In this talk, I will focus on two areas: providing visual explanations to identify machine learning errors, and using uncertainty visualizations to build trust in election forecasts, both of which help lead to more appropriate decisions. I will also briefly discuss the application of perceptual science and virtual reality in presenting model predictions and aiding decision-making. The ultimate goal of my research is to ensure appropriate decisions for different user groups.


Talk Location: McKelvey 1020

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Computer Science & Engineering
Event Contact

cody.copeland@wustl.edu

Speaker Information

Fumeng Yang is a postdoctoral fellow at Northwestern University funded by the CRA/CCC's CIFellows program. She received her Ph.D. in Computer Science from Brown University and her M.Sc. in Computer Science from Tufts University.  Her research is at the intersection of human-computer interaction and visual computing, focusing on visual explanation and uncertainty visualization for decision-making. She is also interested in perception and cognition as well as virtual and augmented reality. Her research has been recognized with one best paper award at IEEE VIS and three honorable mention awards at ACM CHI, IEEE VIS, and ACM IUI.

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