INFORMS Open Forum

NYU-Temple-CMU 2020 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

  • 1.  NYU-Temple-CMU 2020 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

    Posted 11-26-2020 16:28
    Dear Colleagues,

    We are happy to share with you the tentative program of our 2020 Conference on Artificial Intelligence, Machine Learning, and Business Analytics to be held virtually on Zoom on December 10-11, 2020.  

     

    Below has the plenary sessions' information of keynote speakers: Alessandro Acquisti (CMU), Jonah Berger (Wharton), Anindya Ghose (NYU), John Hauser (MIT), Kartik Hosanagar (Wharton), Nan Jia (USC), Dokyun Lee (CMU), Harikesh Nair (Stanford), Beibei Li (CMU), Sridhar Narayan (Stanford), Xueming Luo (Temple), Puneet Manchanda (UMich), PK Kannan (UMaryland), Bin Gu (BostonU),  Roland Rust (UMaryland), Ravi Bapna (UMN), Ming-Hui Huang (NTU), Param Singh (CMU), Catherine Tucker (MIT), Olivier Toubia (Columbia), Shunyuan Zhang (Harvard). All plenary sessions will be livestreamed on Facebook live.   

     

    Please feel free to pass the conference registration page link along to your colleagues or students who may be interested in attending this virtual conference.   

     

    We look forward to seeing you in December on Zoom. Stay well and warm regards, 

    Anindya Ghose (NYU), Xueming Luo (Temple), & Beibei Li (CMU)

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    NYU-Temple-CMU 2020 Conference on Artificial Intelligence, Machine Learning, and Business Analytics 

     

     

     

     

     

     

     

     

    December 10-11, 2020  

    via Zoom 

    Conference Schedule 

     

    Thursday, December 10, 2020  

    8.50 AM – 11.00 AM: Plenary Session 1, join by clicking this Zoom Link: (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

            8.50 AM – 9.00 AM: Welcome by Dean: Ron Anderson 

                                                Welcome by Conference Chairs (Xueming Luo, Beibei Li, and Anindya Ghose) 

            9.00 AM – 11.00 AM: Session Chair: Ed Rosenthal 

    Presenter 

    Title 

    Catherine Tucker (MIT) 

     

    Does Black-Box Profiling Lead To Disadvantages For Less Privileged and Unhealthy People 

     

    PK Kannan (Maryland) 

     

    An AI-based Adaptive Personalization System for Online Learning  

    Ravi Bapna (Minnesota) 

    Social Learning in Prosumption: Evidence from a Randomized Field Experiment     

    10 min Break 

    Olivier Toubia (Columbia) 

    A Poisson Factorization Topic Model for the Study of Creative Documents  

    Anindya Ghose (NYU) 

    Empowering Patients Using Smart Mobile Health Platforms 

    All plenary sessions will be livestreamed on Facebook: https://www.facebook.com/AIMLConference/live/  

     

    11.00 AM – 11.15 AM: Break 

     

    11.15 AM – 12.30 PM: Concurrent Sessions 1  

    12.30 PM – 1.30 PM: Break 

     

    1.30 PM – 3.30 PM: Plenary Session 2, join by clicking this Zoom Link (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

                                         Session Chair: Marco Qin 

    Presenter 

    Title 

    Harikesh Nair (Stanford) 

    Online Inference for Advertising Auctions 

    DK Lee (CMU) 

    Patents, Generative Algorithms, and Innovation Frontiers 

    Sridhar Narayanan (Stanford) 

    Behavioral Targeting, Machine Learning and Causal Effects using a Regression Discontinuity Design 

    10 min Break 

    John Hauser (MIT)  

     

    Identifying Profitable and Feasible Design Gaps for New Products 

    Xueming Luo (Temple)  

    AI for Customer Services and Employee Management 

     

    3.30 PM – 3.45 PM: Break 

     

    3.45 PM – 5.00 PM: Concurrent Sessions 2  

    5.10 PM – 6.00 PM: Plenary Panel Discussion A, join by clicking this Zoom Link (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

    "Challenges and Opportunities of Publishing AIML Topics in Top Journals" (Olivier Toubia at Columbia, Anindya Ghose at NYU, Param Singh at CMU, Xueming Luo at Temple). 

    Each panelist will first talk about one project or research themes on AIML topics at very high level for 5 min, then open up to conference attendees for Q&A on challenges and opportunities of publishing impactful AIML research at top journals such as Management Science, Marketing Science, Journal of Marketing Research, Information Systems Research, and others.     

     

    Friday, December 11, 2020 

    9.00 AM – 11.00 AM: Plenary Session 3, join by clicking this Zoom Link (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

                                         Session Chair: Yang Wang  

    Presenter 

    Title 

    Puneet Manchanda (Michigan) 

     

    The Race for Data: Who Gained from Re-permission E-mails in the Enforcement of GDPR  

    Alessandro Acquisti (CMU) 

    The Impact of the GDPR on Content Providers  

    Bin Gu (Boston) 

    TBD 

    10 min Break 

    Shunyuan Zhang (Harvard) 

    Unmasking with face masks: Analyzing customers' risk-perception and purchase decisions with in-store shopping video 

    Beibei Li (CMU) 

    Trading Privacy for the Greater Social Good: How Did America React During COVID-19?  

     

    11.00 AM – 11.15 AM: Coffee Break 

    11.15 AM – 12.30 AM: Concurrent Session 3   

    12.30 PM – 1.30 PM: Break 

    1.30 PM – 3.30 PM: Plenary Session 4, join by clicking this Zoom Link  

    (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

                                         Session Chair: Marco Qin 

    Presenter 

    Title 

    Kartik Hosanagar (Wharton) 

    Trust and Adoption of AI 

    Nan Jia (USC) 

     

    AI Supervision at Workplace: A Battle of Quality and Trust  

    Param Singh (CMU) 

    "Un"fair Machine Learning Algorithms  

    10 min Break 

    Roland Rust (UMD)/Ming-Hui Huang (NTU) 

    The Managerial Side of AI 

    Jonah Berger (Wharton) 

    Quantifying the Shape of Narratives  

     

    3.30 AM – 3.45 AM: Break 

    3.45 PM – 5.00 PM: Concurrent Sessions 4  

    5.10 PM – 6.00 PM: Plenary Panel Discussion B, join by clicking this Zoom Link   

    (https://temple.zoom.us/j/99660952830?pwd=cTROMHVYWVpiRlh0TFl0dHFXcUxhdz09

    "Best Practices of Working with Industry Companies on AIML Topics" (John Hauser at MIT, Harikesh Nair at Stanford, Vashist Avadhanula at Facebook, Brett Gordon at Northwestern, moderated by Xueming Luo) 

    Each panelist will first share the experience of working with tech industry leaders such as Facebook, JD, and others on AIML applications at very high level for 5 min, then open up to conference attendees for Q&A on best practices and pitfalls of industry-academic collaboration on AIML topics.    

       

     

    Dr. Xueming Luo

    Charles Gilliland Distinguished Chair Professor of Marketing, Strategy, and MIS

    Founder/Director of Global Center on Big Data and Mobile Analytics

    Fox School of Business, Temple University, Philadelphia, PA 19122

    Office: 215.204.4224, Email: luoxm@temple.edu

    http://www.fox.temple.edu/mcm_people/xueming-luo/    

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    Center website  www.fox.temple.edu/gbm 



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    Xueming Luo
    Professor
    Temple University
    Philadelphia PA
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