Featured Projects
Emotional labor (EL) is the process of managing one's feelings and outward expression in accordance with organizationally defined rules. Three types of emotional labor have been identified and can be stratified based on the display of emotion and the internal emotional state. In this study we interviewed Uber drivers to investigate their performance of emotional labor in the context of the positive affect that they are required to show and the role technology plays in their performance. |
Business ecosystems are characterized by large, complex, and global networks of firms, often from many different market segments, all collaborating, partnering, and competing to create and deliver new products and services. Given the rapidly increasing scale, complexity, and rate of change of business ecosystems, as well as economic and competitive pressures, analysts are faced with the formidable task of quickly understanding the fundamental characteristics of these interfirm networks. ![]() |
The growing popularity of social media makes it increasingly difficult to keep up with the huge volumes of information they produce. We present SentenTree, a novel visualization technique that helps people gain a quick understanding of the key concepts and opinions expressed in a given social media text set. SentenTree can be used by both casual social media users and professional analysts. ![]() |
Upcoming Events
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Mar 31 to Apr 21
30th Annual College of Computing Awards (virtual) Celebration
30th Annual College of Computing Awards (virtual) Celebration
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Apr 19
PhD Proposal Presentation - Pradyumna Byappanahalli Suresha
ML Ph.D. student Pradyumna Byappanahalli Suresha will present her proposal
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Apr 21
ML@GT Virtual Seminar: Shivani Agarwal, University of Pennsylvania
The Machine Learning Center will host a virtual seminar on April 21, 2021.
GVU News
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Two Ph.D. Students Recognized as 2021 Apple Scholars – A First for Georgia Tech
GT Computing, Apr 16, 2021
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Assistant Professor Earns 2020 Salesforce AI Research Grant
Yang’s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches. -
Creating the Next Generation
GT Computing, Feb 19, 2021
About GVU
GVU Resource Labs

App Lab
Built for Success
A mobile computing "hackerspace."
Visit the App Lab website
Location: TSRB 333

GVU Prototyping Lab
From Concept to Creation
A rapid prototyping "makerspace."
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Location: TSRB Basement

Usability Lab
Testing Methods and Technology
An adaptable project testing space.
Visit the Usability Lab website
Location: TSRB 216