This track provides a platform to discuss the more technical side of IS, particularly relating to the design, implementation, and evaluation of computational artifacts (i.e., IT or IS artifacts, including but not limited to AI-enabled systems). This track wants to attract computational design science studies with a strong sociotechnical context, i.e., strong business and societal implications.

Track Chairs:
Leona Chandra Kruse, University of Agder in Norway
Xin Li, Hong Kong Polytechnic University
Nan Zhang, University of Notre Dame

Schedule
2026
Monday, December 14th
12:00 AM

Can LLMs think like different investors? A self-reflective framework for risk-aligned stock prediction

Qixian Li, Macau University of Science and Technology
Di Han, Guangdong University of Finance
Jianqing Li, Macau University of Science and Technology
Paul Yuke Wang, McGill University Desautels Faculty of Management
Wenyu Jiao, McGill University Desautels Faculty of Management

12:00 AM

Designing a GenAI-based Social Bot to support Crisis Communication during Natural Hazards

Nina Sabo, University of Bamberg

12:00 AM

Designing for Recourse: Cost-Aware and Model Agnostic Counterfactual Explanations in Networked Decision Systems

Mukul Gupta, Indian Institute of Management Indore
Samrat Gupta, Indian Institute of Management
Giri Kumar Tayi, SUNY at Albany

12:00 AM

Designing PDEL-DRK: An Ablation-Testable Architecture for Repeated Agentic Delegation

Hoeyoung Kim, Abetter
Yunhwan Jang, Abetter

12:00 AM

From Detection to Decision: A Human-Centered Artifact for Regulatory Change Review

Joe Yu, Technical University of Munich
Kevin Chenhao Li, Technical University of Munich
Theresa Treffers, Technical University of Munich
Isabell M. Welpe, Technical University of Munich

12:00 AM

From Prediction to Evidence: Detecting Harmful Short Videos with Policy-Aligned Contrastive Learning via Sparse Autoencoders

Wenli Zhang, Iowa State University
Shuang Geng, Shenzhen University
Jiaheng Xie, University of Delaware
Zhonghan (Terry) Xiang, Iowa State University
Sudha Ram, University of Arizona

12:00 AM

From “Who” to “Why”: A Hierarchical Competition Alignment Network for Corporate Competitive Relation Discovery

Chenghan Wang, Renmin University of China
Liye Wang, School of Economics and Management,Communication University of China
Jin Zhang, Renmin University of China
Junlin Che, Renmin University of China

12:00 AM

Governance-Responsive Social-Capital Learning for Collusive Fraud Detection

Xiaoyu Yao, University of Science and Technology of China
Wenxiang Zhao, University of Science and Technology of China
Hefu Liu, School of Management, University of Science and Technology of China

12:00 AM

Identifying Organic Content Promoters: A Generative Approach to Grassroots Marketing

Jing Xu, Beihang University
Xiao Han, Beihang University

12:00 AM

Learning Coordinated Inventory Lateral Transshipment via Graph-Based Multi-Agent Reinforcement Learning

Zihan Feng, Beihang University
Guannan Liu, Beihang University
Junjie Wu, Beihang University

12:00 AM

LLM-Based Resume Optimization in Talent Recommendation Systems: Impact and Mitigation

Silin Du, Tsinghua University
Hongyan Liu, Tsinghua University
Jing Wang, Hong Kong University of Science and Technology

12:00 AM

LLM-Driven Generative Fashion Outfit Algorithm Based on Consumer Intent Detection

Yuli Hao, Communication University of China
Yue Guan, Communication University of China
Zhiyong Li, Communication University of China

12:00 AM

MAQUETTE: A Method for Computational User Interface Instantiation

Julia Seitz Saenger, Karlsruhe Institute of Technology
Felix Kretzer, Karlsruhe Institute of Technology
Till Carlo Schelhorn, Karlsruhe Institute of Technology
Alexander Maedche, Karlsruhe Institute of Technology (KIT)

12:00 AM

SCORSE: A Computational Design Artifact for LLM Financial Decision Support

Ryan Yurosko, University of South Florida
Alan Hevner, University of South Florida
Wolfgang Jank, University of South Florida
Daniel Zantedeschi, University of South Florida

12:00 AM

Towards Collaborative Conversational Recommendation: A Multi-Agent Framework with Socratic Intent Elicitation and Experience Retrieval

Haoran Zhang, Tianjin University
Wenhua Li, Tianjin University
Junpeng Guo, Tianjin University

12:00 AM

Understanding the Effects and Limitations of Reading Support Systems for Non-Native Readers in Comprehension Tasks

Martin Hänel, University of Kassel
Kevin Fred, Free University of Bozen-Bolzano
Thiemo Wambsganss, Bern University of Applied Sciences
Matthias Söllner, University of Kassel

12:00 AM

When (Not) to Trust AI: An Interpretable Approach to Assessing Machine Learning Predictions

Jens Dünisch, University of Regensburg
Bernd Heinrich, University of Regensburg
Alexander Schiller, University of Regensburg

12:00 AM

WorkScope: Towards a Design Framework and System for Uncovering Modern Slavery Through Hybrid Ontology Learning

Cornelius Reh, University of Kassel
André Hanelt, University of Kassel
Sofía Calderón Farfan, University of Notre Dame
Stefan Gold, Technical University of Munich
Ahmed Abbasi, University of Notre Dame

12:00 AM