Data science has become increasingly popular as a methodological approach for advancing theory and practice. However, significant concerns exist as to how bias can manife[...]

Interactive visualizations leverage the human visual and reasoning systems to increase the scale of information with which we can effectively work, therefore improving ou[...]

Effective firefighting in dangerous environments demands strategies that can quickly adapt to evolving conditions to ensure the safety of both firefighters and civilians.[...]

Conspiracy theories (CTs) are beliefs that secretive and powerful people are responsible for some phenomena, often with nefarious intentions. The spread of CT-related mis[...]

Ethical leadership has emerged as a key construct in leadership studies over the past two decades. Hundreds of scholarly articles have been published to fully understand [...]

This dissertation examines how different emotion measurement approaches—self-report, other-report, and artificial intelligence (AI)-based emotion detection—relate to one [...]

In recent years, machine learning systems, particularly deep learning architectures, transformer models, and large language models (LLMs), have achieved remarkable succes[...]

News organizations, non-profits, and even government agencies use information graphics to advertise and communicate their messages. Data visualizations are used heavily i[...]

Human-AI co-creativity involves a human and an AI collaborating as partners on creative tasks such as generating music or art. This research domain is particularly timely[...]

This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Cl[...]