We invite original research submissions focusing on novelty, best practice and use case orientation. Submissions are required to demonstrate both scientific-technical depth and practical applicability, encompassing methods along the full pipeline of data science and AI systems – from data acquisition and data management, through data analysis using machine learning and artificial intelligence (AI), to visualization, data product design, and the management of societal effects.

Topics of Interest
Topics include but are not limited to, the following key focus areas for 2025:

Large Language and Foundation Models
Transformer Architectures, Multimodal Models (Text, Image, Video), Pre-trained Models, Generative AI, Natural Language Processing (NLP), Question Answering, Retrieval-Augmented Generation (RAG), Model Fine-tuning, Zero-shot Learning, Conversational AI, DataData-Driven AI, Model Interpretability, and Trustworthy AI

Human-AI Interaction
Human-in-the-loop, Human-AI Teaming, Personalization and Contextualization, Explainable AI, Adversarial Attacks & Robustness, Data Privacy and Security, Data and Information Quality, Data Governance, Adaptive User Interfaces, Proactive AI Systems, and AI-Assisted Decision Making

AI and Data Analytics for Science
Scientific Machine Learning, Data Exploration, Data Modeling and Visualization, Data Mining, Feature Selection, Pattern Recognition, Evolutionary Computing and Optimization, Fuzzy Computing, Digital Twins, Automated Hypothesis Generation, Predictive Analytics, Interdisciplinary Data Integration, Data Warehousing, Data Structures and Data Management, Information Retrieval, Information Integration, Big Data Applications, and Data Quality for Trusted AI

AI and Society
Ethics, Fairness, Accountability and Transparency, AI Regulation, AI Certification, Cybersecurity in Relation to Data Science, Data-driven Value Creation, Business

Intelligence, Service Design and Operations, Smart Services, and Domain Specific Applications for Societal Challenges (e.g., Climate Change, Aging Population, Urban Planning and Smart Cities, Food Security and Agriculture, etc.)

Data Science is a dynamic field. Therefore, we also welcome submissions that do not fit into any of the key focus areas.