If you or your phd students plan to submit a paper to our 2021 zoom Conference on AI/ML, please send it by October 25.
If you only plan to attend the conf, please click this link and register here (no submission required): https://www.fox.temple.edu/institutes-centers/global-center-for-big-data-and-mobile-analytics/conferences/2021-conference-on-artificial-intelligence-machine-learning-and-business-analytics/
See conference details information in below.
2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics
December 2-3, 2021
Virtual on Zoom
Over five billion people worldwide actively engage with AI, bots, machine-to-machine connected solutions, wearables, Internet-of-Things, 5G, AR/VR, Fintech, Mooc, and blockchain. This conference will explore how digital, social, and mobile technologies affect business models, customer behavior, public policy, and social changes at large. Exemplar topics include:
AI automation/ Robotics AI adoption and user behavior/AI chatbot voice-mining for promo and recommendations/ Bot trading and AI advisor in financial markets/AI for ad creatives and publishers/ AI applications in worker training, hiring, and supervising/ ML applications in fintech, pharma, and e-commerce/ Privacy and new technologies/ Data breach and security/ Blockchain applications/ Future of work and unemployment/ Big data IoT, 5G, AR, and VR applications/ Public policy and regulation of AI technologies/ AI algorithm bias, interpretable ML/ Machine learning for causal inference/ ML and deep learning for statistics methods/ Machine learning for empirical IO/ Deep reinforcement learning for microeconomics theory / Healthcare applications of ML/ Multi-armed bandits for online advertising and pricing/ Contextual MAB for personalized dynamic recommendations/ MOOC education online with ML and AI NLP with social media text data for targeting/ ML for images, voice, and video data B2B markets, COVID detection/prevention/treatment
Confirmed Keynote Speakers: Ashish Agarwal (Texas), Tat Chan (WashU), Prithwiraj Choudhury (Harvard), Ryan Dew (Wharton), JP Dube (Chicago), Dean Eckles (MIT), John Horton (MIT), Anindya Ghose (NYU), Szu-chi Huang (Stanford), Nan Jia (USC), Kinshuk Jerath (Columbia), PK Kannan (Maryland), Dokyun Lee (BostonU), Beibei Li (CMU), Mike Luca (Harvard), Lan Luo (USC), Xueming Luo (Temple), Puneet Manchanda (Michigan), Sridhar Narayan (Stanford), Oded Netzer (Columbia), Navdeep Sahni (Stanford), Param Singh (CMU), K. Sudhir (Yale), Lynn Wu (Wharton), Eric Zheng (UTD), Shunyuan Zhang (Harvard)
Submission logistics: Submit either a 3-page abstract, full paper, or 10 PPT slides to AIML2021Conf@gmail.com and cc Xueming.Luo@temple.edu
Submission deadline: October 25, 2021. Acceptance notification date: November 3, 2021 (Acceptance of submission requires one co-author to register and present at the conference)
This annual conference was hosted at Chicago Booth in 2014, NYU Stern in 2015 and 2017, Stanford GSB in 2016, CMU Tepper in 2018, and Temple in 2019. It has attracted a vibrant group of professors, industry people, and PhD students (each year max 150 people) working on cutting-edge ML AI models and data in inter-disciplinary fields. This conference serves as an intellectual bridge between computer science, economics, statistics, marketing, management, finance, strategy, IS, healthcare, education, public policy, and others. See last year conf program here. Please direct any questions to the Conference Chair, Dr. Xueming Luo, Charles Gilliland Distinguished Chair Professor of Marketing, Management, and MIS (email: Xueming.Luo@temple.edu).
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)