This track is dedicated to research that applies and/or develops novel data science and analytics theories, algorithms, methods, and frameworks to address challenging and practical problems that benefit business and society at large. Domains may include small businesses, healthcare, judicial systems, social media and energy, and applications such as fraud detection, social network services, human resource analytics, privacy, recommendation systems, 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. This track is open to all types of research, including conceptual, theoretical, analytical, and/or empirical.

Track Co-Chairs
InduShobha Chengalur-Smith, Ph.D., University at Albany – SUNY
Ali Sunyaev, Ph.D., Karlsruhe Institute of Technology
Jing Wang, Ph.D., Hong Kong University of Science and Technology

Victoria Yoon, Ph.D., Virginia Commonwealth University

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Schedule
2023
Monday, December 11th
12:00 AM

A Graph Learning Model of Network Resources for Early Stage Startup Success Prediction

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

12:00 AM

12:00 AM

Applying Automated Text Analysis to Detect Ideologically-Motivated Manipulations in Mass-Media News

Iryna Babik, Boise State University
Emily Eker, Boise State University
Dmytro Babik, James Madison University

12:00 AM

12:00 AM

Between Attention and Portfolio Adjustment: Insights from Machine Learning-based Risk Preference Assessment

Xin Li, City University of Hong Kong
Arun Rai, Georgia State University
Qingping Song, Tsinghua University
Sean Xin Xu, Tsinghua University

12:00 AM

12:00 AM

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks

shengming zhang, Rutgers University
Hao Zhong, ESCP Business School
Yong Ge, The University of Arizona
Hui Xiong, Hong Kong University of Science and Technology (Guangzhou)

12:00 AM

12:00 AM

Counterfactual Explanations for Incorrect Predictions Made by AI Models

Amir Asrzad, University of Massachusetts Lowell
Xiaobai Li, University of Massachusetts Lowell

12:00 AM

12:00 AM

Decoding Data Products – Through the Lens of Work System Theory

M Redwan Hasan, University of Lausanne
Christine Legner, HEC Lausanne

12:00 AM

12:00 AM

DeepPsych: Harnessing Market Psychology with Deep Learning

Jiancheng Shen, Soochow University
Jia Wang, University of Massachusetts Lowell
Hongwei Zhu, University of Massachusetts Lowell
Benyuan Liu, University of Massachusetts Lowell

12:00 AM

12:00 AM

Designing Interactive Explainable AI Systems for Lay Users

Miguel Angel Meza Martínez, Karlsruhe Institute of Technology (KIT)
Alexander Mädche, Karlsruhe Institute of Technology (KIT)

12:00 AM

12:00 AM

Detection of Stock Manipulation Influencer Content using Supervised Learning

Frederic Haase, University of Cologne
Oliver Rath, Cologne Institute for Information Systems
Julia Lauten, University of Cologne
Detlef Schoder, University of Cologne

12:00 AM

12:00 AM

Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks

Manting Hu, City University of Hong Kong
Qingyuan LIN, City University of Hong Kong
Denghui Zhang, Stevens Institute of Technology
Angela Lu, City University of Hong Kong
Liu Junming, City University of Hong Kong
Hui Xiong, Hong Kong University of Science and Technology (Guangzhou)

12:00 AM

12:00 AM

How are you Feeling? Inferring Emotions through Movements in the Metaverse

Jannes Heinrich Diedrich Menck, University of Goettingen
Evgeni Uschakov, Georg-August-Universität Göttingen
Henrik Lechte, University of Goettingen
Tim-Benjamin Lembcke, University of Goettingen
Lutz M. Kolbe, University of Goettingen

12:00 AM

12:00 AM

Information System Articulation Development - Managing Veracity Attributes and Quantifying Relationship with Readability of Textual Data

Neelam Naik, SVKM's Usha Pravin Gandhi College of Arts, Science and Commerce
Shastri Nimmagadda, Curtin University
Seema Purohit, Affiliated with the University of Mumbai
Torsten Reiners, Curtin University
Dr Neel Mani, DSVV

12:00 AM

12:00 AM

Innovation Novelty and Firm Value: Deep Learning based Text Understanding

Wei HU, Tongji University
Yuk Yee CHAN, City University of Hong Kong
Jianming HUANG, City University of Hong Kong
Wanyue Zhou, City University of Hong Kong
Xin Li, City University of Hong Kong

12:00 AM

12:00 AM

Investigating German Higher Education Institutions' Transfer Activities: New Measurements Based on Web Mining

Michelle Schmitt, University of Siegen
Christian Schröder, University of Siegen
Günter W. Beck, Siegen University
Arndt Werner, University of Siegen

12:00 AM

12:00 AM

MANTRA: A Topic Modeling-Based Tool to Support Automated Trend Analysis on Unstructured Social Media Data

Janik Wörner, University of Regensburg
Daniel Konadl, University of Regensburg
Isabel Maria Schmid, University of Regensburg
Susanne Leist, University of Regensburg

12:00 AM

12:00 AM

The Currency of Wiki Articles – A Language Model-based Approach

Bernd Heinrich, University of Regensburg
Maximilian Felix Huber, University of Regensburg
Thomas Krapf, University of Regensburg
Alexander Schiller, University of Regensburg

12:00 AM

12:00 AM

The Impact of Network Neutrality Violation on the Streaming Platform Ecosystem : Evidence from Twitch TV

Dongwon Shin, Korea University
Gunwoong Lee, Korea University Business School

12:00 AM

12:00 AM

The Power of Trust: Designing Trustworthy Machine Learning Systems in Healthcare

Mariska Fecho, Technische Universität Darmstadt
Anne Zöll, TU Darmstadt

12:00 AM

12:00 AM

Theory-driven Bilateral Dynamic Preference Learning for Person and Job Match: A Process-oriented Multi-step Multi-objective Method

Xiaowei Shi, Tsinghua University
Cong Wang, Peking University
Qiang Wei, Tsinghua University

12:00 AM

12:00 AM

Turning Chatters into Donators: An Investigation of Topic-Based Bullet Screen Mode on a Livestreaming Platform Short Paper

Xiaodie Pu, Univeristy of Nottingham Ningbo China
Tanguy Tresor Sindihebura, The University of Nottingham Ningbo China
yue guo, Southern University of Science and Technology
Alain Chong, University of Nottingham

12:00 AM

12:00 AM

What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

Junwei Kuang, Beijing Institute of Technology
Jiaheng Xie, University of Delaware
Zhijun Yan, Beijing Institute of Technology

12:00 AM