SIGDSA provides a forum for facilitating constructive discussions for researchers, instructors, and practitioners who are engaged in exploring topics and issues in AI, Business Analytics, and Data Science.
The pre-ICIS SIGDSA 2024 Symposium theme is “Emerging AI Platforms for Societal Good.” This theme reflects the increased emphasis on understanding the impact of emerging digital platforms, such as Generative AI, on community structures, social dynamics, innovation strategies, global trends, and governance reform.
Submissions from 2024
Predicting Long-term Organizational Health, Hamidreza Ahady Dolatsara, Ashish Gupta, Alireza Farnoush, and Pankush Kalgotra
An Experiment on Nudging Clinicians’ Diagnostic Test-Ordering Decision-Making, Lu Bai, Shijia Gao, Frada Burstein, Paul Buntine, and Liam Hackett
Conceptual model of a set of ICT services to support city learning, Pradipta Banerjee and Sobah Abbas Petersen
Understanding the Impact of AI Transparency in Healthcare Settings on Patient Satisfaction, Gaurav Bansal, Vic Matta, and Kevin Diaz-Ordonez
Preventable Medicine Against Hypertension and its Related Outcomes Using Predictive Analytics, Ofir Ben-Assuli, Mor Atlas, Orit Goldman, Ori Rogowski, and Shlomo Berliner
Optimizing Call-to-Action Strategies with Human-AI Collaboration: Insights from Health Campaign Messaging, Neha Chaudhuri and Gaurav Gupta
AI The Magic Box: Strategies for Teaching How AI Works, Tingting (Rachel) Chung, Rani Banjarian, Peichih (Peggy) Chung, Danielle Seay, and Alisa Yang
Data Cleaning for a Green Agenda– A Generative AI Case, Adrian Cronin and Brian O’Flaherty
Landscape of Tools for Business Analytics and Data Science – A Tutorial on KNIME, Dursun Delen
Decoding Internet Signals for Stock Market Movement: A Machine Learning Study on Pharma Sector During Covid-19, Gaurav Dixit and Satyam Kamalakar Morankar
Optimizing Urban Waste with 4Rs and System Dynamics, Adi Fux, Shai Rozenes, and Sofia Amador
Teaching Social Network Analytics via Virtual Reality: Demonstrating a Novel VR Application, Sidharth Suresh Gautam, Pankush Kalgotra, and Ramesh Sharda
A Decision Support Tool for Domain-Driven Mobile Clinic Routing: A Case Study in Kenya, Mayukh Ghosh, Chintan Amrit, and Joaquim Gromicho
Will Algorithmic Management Jeopardize Employees’ Personal Integrity?, Yuanyuan Guo and Yufei Yuan
Mining Patterns of Temporal Factors Affecting Patient Experience, Mona Isazad-Mashinchi and Adegboyega Ojo
Deep Learning based Ransomware Defense Aligned to Business Strategy, Swati Jain and Arunabha Mukhopadhyay
Generative AI Adoption in Higher Education: Exploring Educator Resistance in Estonian Universities, Jan-Erik Kalmus and Anastasija Nikiforova
Applying Citizen Science and Design Science for Groundwater Management, Abdul Kader Khan, Lakshmi Iyer, Basant Maheshwari, and Ramesh Sharda
An Experimental Evaluation of the Capability of Large Language Models to Reason About Value-Added Tax Cases in Austrian Tax Law, Marina Luketina, Christoph G. Schuetz, and Thomas Wageneder
A Measurement Framework for Driving Improvement in Analytics Capstone, Kenneth Murphy
Empathetic Information Seeking Support using Generative Artificial Intelligence, Lemai Nguyen, Quan Vu, Bingqing Xiong Dr., and Rajeev Sharma
A Generative AI and NLP-Based Research Prototype for Call Resolutions and Automation: The Case of a Healthcare Contact Center, Rushabh Patel, Ashish Gupta, Xiao Qin, and Carlin Brickner
Using LLMs to Improve Reproducibility of Literature Reviews, René Peinl, Jonathan Baernthaler, Armin Haberl, Sarang Ravi Chouguley, and Stefan Thalmann
General Language Understanding Evaluation) benchmark vers SuperGLUE benchmark to assess overall understanding of NLP models, Aneta Poniszewska-Marańda, Kacper Królewiak, and Łukasz Chomątek
Generative AI and the Future of Work, Charlie Strohm, Vic Matta, and Gaurav Bansal