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Research at IVDA includes various methodologies and branches, all related to the meaningful combination of both strengths of humans and machines in the data analysis, knowledge generation, and decision-making process. Particular research tracks are as follows.
The analysis of medical data is relevant for many use cases, including clinical research and patient treatment. While these cases typically represent a doctors'/physicians' perspective, there is yet another user group with an immense information need: patients. In addition, other types of stakeholders involved in the medical domain are, e.g., clinics, quality management environments, operational staff, and insurances.
Digital library systems (DLS) enable users to gain access to digital objects (documents, items) through interactive search and filtering capability. In future, DLS may also support exploration and data analysis capabilities to enable users gaining insights even while browsing for interesting digital objects. This is where methods and techniques developed in IVDA can help most.
Digital Humanities enters a new era through collaboration with Interactive Visual Data Analysis. We bring dynamic visual interfaces, data science, and AI to empower humanities scholars in the digital transformation. By making complex cultural data explorable and interpretable, we open new pathways for discovery, interpretation, and engagement with human history and culture.
Sustainability research and development tackles urgent ecological, social, and economic challenges. We support this vital work with interactive visual data analysis, making complex data understandable and actionable. Our methods reveal patterns, trade-offs, and impacts, enabling informed decisions and collaboration across disciplines - driving sustainable transformation through transparency, engagement, and data-driven insight.
Economics and Finance rely on complex, dynamic data for critical decision making. We enhance this domain with interactive visual data analysis, turning abstract numbers into intuitive insights. Our techniques empower analysts and stakeholders to explore trends, detect anomalies, and evaluate scenarios - enabling faster, smarter, and more transparent data-driven decisions.
