Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human beh[...]

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

Outages that occur in power distribution systems can seriously endanger system operation in different ways. In recent years, with the explosion in data gathering within t[...]

Our world has been experiencing a dramatic and continually increasing growth of digital textual information. This phenomenon raises challenges in analyzing, understanding[...]

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

Stance detection in social media data has received attention in recent years as an approach to determine the standpoint of users toward a target of interest, such as a pe[...]

Misinformation on social media is a phenomenon with considerable impacts on our societies. To effectively mitigate its effects, we need to employ a cross-disciplinary eff[...]

The black lives matter movement has risen in response to social injustices in the African-American community in the United States, specifically concerned with police shoo[...]

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[...]