Track Chairs
Jingjing Li, Ph.D.
Shirish C. Srivastava, Ph.D.
Chih-Hung Peng, Ph.D.

Track Description
This track seeks to gather contemporary research works that have applied and/or developed novel data science and analytics methods, techniques, algorithms, and theories, to address challenging and real-world problems. We are particularly interested in developing research works that would benefit and impact how we do business, live, and socialize. While we do not limit the spectrum of domains, some of the suggested domains could be small and medium businesses, digital business and innovation, healthcare and wellness, community-based social services, judicial system and democracy, fraud and deception, social cohesion and inclusion, privacy and security, social media and politics, sustainability and climate change, etc. Contributions may be motivated by the shortcomings of state-of-the-art approaches in addressing practical challenges or may apply novel data science tools to existing problems.
Schedule

2025
Sunday, December 14th

Batching and Fairness When Recommending Multiple Teams in Online Platforms

Yihong Liu, The University of Texas at Dallas
Syam Menon, The University of Texas at Dallas
Sumit Sarkar, University of Texas at Dallas

Beyond the Match: Predicting Bilateral-matching Satisfaction with Multi-view Heterogeneous Graph Neural Network

Jiahui Feng, University of Science and Technology of China
Hefu Liu, School of Management, University of Science and Technology of China
Juntao Wu, University of Science and Technology of China
Huiyu Liu, University of Science and Technology of China
Peng Zhao, Orange energy Co.Ltd

Bridging Corporate Claims and Public Perception: Real-Time Validation of ESG Initiatives with Social-Media Analytics

Nidhi Mishra, Karlsruhe Institute of Technology
Moritz Diener, Karlsruhe Institute of Technology
Daniel Heinz, Karlsruhe Institute of Technology
Philipp Spitzer, Karlsruhe Institute of Technology
Philippe Cudré-Mauroux, University of Fribourg

Can large language models evaluate suppliers’ qualifications of complex production lines? An approach incorporating retrieval-augmented generation and Chain-of-Thought

Xuerong Li, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Wei Shang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Zihang Niu, University of Chicago
Bingxin Xie, University of International Business and Economics
Lexiang Zhu, University of Manchester

Communicative Constitution of Organizations in the Digital Age: Leveraging Network Analysis for the Identification of Communication Roles

Koray Konhäuser, FIM Research Center for Information Management
Lukas Mais, FIM Research Center for Information Management
Nina Schwarz, FIM Research Center for Information Management
Tim Werner, FIM Research Center for Information Management

Data Quality Challenges in Retrieval-Augmented Generation

Leopold Müller, Institute for Business & Information Systems Engineering of the Fraunhofer FIT
Joshua Holstein, Karlsruhe Institute of Technology
Sarah Bause, Karlsruhe Institute of Technology
Gerhard Satzger, KIT
Niklas Kühl, University of Bayreuth

DeepGridMCLP: Scalable Facility Placement in Continuous Region with Deep Reinforcement Learning

Yang Zhong, Claremont Graduated University
Yan Li, Claremont Graduate University

Event Shocks in Investment Networks: a Contextual-Temporal Aware Neural Point Process Framework for Startup Success Prediction

Mucan Liu, City University of Hong Kong
Manting Hu, City University of Hong Kong
Junming Liu, City University of Hong Kong

Fostering or Hindering Sales? Overlapping Influencer Followers in Live Streaming E-Commerce

Jingyun Hu, Department of Economics
Anqi Wu, Florida International University

Navigating Model Selection and Feature Engineering for Battery Health Prediction: An Evidence-Based Meta-Analysis

Yifan Wang, Leibniz University Hannover
Leonard Kost, Leibniz University Hannover
Maximilian Heumann, Leibniz University Hannover
Wolfgang Schade, Fraunhofer Heinrich Hertz Institute

Optimizing Business Forecasting through Human-AI Decision Fusion: A Theoretical Framework and Simulation Study

Shaohui Wang, Georgia State University

Search Ads Amplified: The Role of Display Ads in Online Food Delivery Platforms

Guo Chen, Harbin Institute of Technology
Hongying Zhao, Harbin Institute of Technology
Luning Liu, Harbin Institute of Technology

Seeing the Whole How Visual Features of Image Combinations Influence Consumer Click Behavior

yanyan zhu, University of Science and Technology of China
JIN LIU, University of Science and Technology of China
yongjun li, University of Science and Technology of China

Seeking Deep Insights: Misclassification and Performance in DeepSeek’s Spam Detection

Wei Cai, Victoria University of Wellington
Goh Tiong, Victoria University of Wellington
Yvonne Hong, Victoria University of Wellington

Snippet Commerce: A New Frontier in Digital Entrepreneurship

Yuxin Lu, Tongji University
Qiqi Jiang, Copenhagen Business School
Hongwei Wang, Tongji University

Turning Freemium into Gold: A Parallel Insight Network for Live Streaming Recommendation

Xintong Lu, Southern University of Science and Technology
Xuan Bi, University of Minnesota
Yue Guo, Southern University of Science and Technology
Alain Chong, University of Nottingham

Who Thrives, Who Stays? Predicting Talent Potential from Level-Aware Career Moves

Dawei Xu, University of Technology Sydney
Jingyuan Yang, George Mason University
Hao Zhong, ESCP Business School
Xitong Li, HEC Paris