Shunyuan Zhang, Param Vir Singh and Anindya Ghose’s paper “A Structural Analysis of the Role of Superstars in Crowdsourcing Contests” was accepted for publication at Information Systems Research

Shunyuan Zhang, Param Vir Singh and Anindya Ghose’s paper “A Structural Analysis of the Role of Superstars in Crowdsourcing Contests” was accepted for publication at Information Systems Research.

This work is built upon Shunyuan Zhang’s first year paper. Information Systems Research is one the highly selective top journals for the Information Systems community.

Past research has shown that when individuals compete with superstars in tournaments their performance goes down as their chance of winning is too low and that in crowdsourcing contests as a result participants tend to avoid projects where they may have to compete with superstars. In contrast, this paper finds that though competing with superstars in a crowdsourcing contest reduces the chances of winning the contest, the participants also get n opportunity to learn by observing the best in action. As a result, participant’s chance of winning subsequent contests increases significantly after participating in a contest involving a superstar.

 

Nikhil Malik (2nd year Phd Student) will present his work on beauty premium dynamics at Conference of Information Systems and Technology 2017

Nikhil Malik’s work “When does beauty pay? A large scale image based appearance analysis on career transitions.” was accepted at Conference of Information Systems and Technology to be held in Houston in October 2017. Nikhil is a 2nd year PhD student.

Kannan Srinivasan, Param Vir Singh and Dokyun Lee are Mr. Malik’s coauthors on this work.

Published: Sep 9, 2017

 

Shunyuan Zhang’s (4th year Phd Student) paper was accepted for presentation at the Conference of Information Systems and Technology (2017)

Shunyuan Zhang’s work on understanding the effects of sharing economy platforms such as Uber/Lyft on demand structure at another sharing economy platform Airbnb is accepted for presentation at the Conference of Information Systems and Technology (CIST). The CIST conference will be hosted in Houston in October  2017.

Tridas Mukhopadhyay, Param Vir Singh and Dokyun Lee are Ms. Zhang’s coauthors on this work.

Published: Sep 9, 2017

Prof Dokyun Lee honored with Xerox Junior Faculty Chair

Prof Dokyun Lee received the prestigious Xerox Junior Faculty Chair away for 2017-2018. The junior faculty chairs at Tepper School of Business are awarded to attract and retain outstanding junior faculty members who enrich our academic programs, contribute to groundbreaking research, and show early promise in serving as mentors to our students.

Learn more about Prof Lee’s research at: http://leedokyun.com/index.html

Professor Param Vir Singh Honored With Carnegie Bosch Institute Academic Chair

Professor Param Vir Singh was honored with Carnegie Bosch Institute Academic Chair for his excellent contributions in interdisciplinary research.

 

CMU-Summit April 15-16

CMU students have organized a summit in innovation and entrepreneurship that’s being held on April 15th and 16th.

There will be many events including panels on:

  • Robotics
  • Virtual Reality/Augmented Reality
  • Mobile Health
  • Human Computer Interaction
  • Start-ups & Early-stage Development
  • Artificial Intelligence

Details and registrations are here.

https://www.cmu-summit.net/

Dokyun Lee will be moderating the AI panel. For more details on AI panel, please visit here.

Dokyun Lee, Param Vir Singh and Shunyuan Zhang received the Adobe Data Science Research Grant

Dokyun Lee, Param Vir Singh and Shunyuan Zhang received  the Adobe Data Science Research grant for their work on investigating the economic impact of images in e-commerce via deep learning. Learn more about Adobe’s research grant program here: http://www.adobe.com/careers/university/marketing-research.html

Dokyun Lee Param Vir Singh

Shunyuan Zhang presented her research at Workshop on Information Systems and Economics – 2016

BT PhD student Shunyuan Zhang’s research paper “Image Feature Extraction and Demand Estimation on Airbnb: A Deep Learning Approach” was selected for presentation at Workshop on Information Systems and Economics 2016. Shunyuan presented her work at the workshop in Dublin, Ireland. In this work she investigates what features of a property image impact an Airbnb’s property demand. She extracts micro level features from images using Convolutional neural net. Her model combines an econometric model for demand with a deep learning framework.

Shunyuan Zhang wins the Best Student Paper Award at Conference of Information Systems and Technology – 2016

Congratulations to BT PhD student Shunyuan Zhang who
won the best student paper award at the Conference of Information Systems and Technology -2016 which was held in Nashville, Tennessee. She studies the impact of property images on Airbnb property demand in her award winning work “Professional versus Amateur Images: Investigating Differential Impact on Airbnb Property Demand”. This would is coauthored with Dokyun Lee, Param Vir Singh, and Kannan Srinivasan.

Dokyun Lee received a GPU grant from NVIDIA for his Deep Learning Research

Congratulations to AssiDokyun Leestant professor Dokyun Lee for receiving a GPU grant from NVIDIA for his deep learning research. He received a new GPU-Titax X Pascal from NVIDIA. For more information on NVIDIA’s GPU grant program please visit: https://developer.nvidia.com/academic_gpu_seeding