Tübingen RDM Days 2025

Talk

Advancing Science: Research Data Management and AI in the Digital Age

_{Research Data Management (RDM) is a key foundation of responsible science in the digital age. This talk explores how RDM contributes to the quality, transparency, and reusability of research – and how it intersects with the use of Artificial Intelligence (AI). It opens the “Research Data meets AI” event by providing context, institutional guidelines, and perspectives on good scientific practice.}

Dr. Holger Gauza (ZDV),

Jennifer Esslinger (Dez. II)

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1h Lunch Break

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Short Talk
Research Data before Research Data

Short Talk
Pilot Project of the Specialized Information Services Theology: AI-assisted Research Data Analysis with Jupyter Notebook

_{The Specialized Information Services Theology pilot project addresses the growing use of AI in theological research. We are planning to provide executable Jupyter Notebook or Google Colab to overcome accessibility hurdles in computational methods. This fosters replicability and reproducibility, offering a low-threshold environment for theologians to easily apply AI tools to their research data.}

Short Talk

In-Class Test: AI-Based Content Analysis of the IxTheo Bibliography

_{For decades the IxTheo Classification has proven to be an established categorization system for the contents of the IxTheo bibliography. However the IxTheo has grown to a size where intellectual assignment is no longer feasible. The talk will present the current state of automatically classifying records using LLMs and an outlook on other planned steps to enhance the accessibility of the data of the Tübingen Specialised Information Services (FID) bibliographies by using AI-driven solutions.}

10min Break

Talk

FAIR Research Data – Challenges and Perspectives

_{Ten years after the introduction of the FAIR principles, the question remains: how FAIR is science today? This talk explores current challenges, existing standards, and future perspectives for researchers and institutions – with a focus on incentives, practical implementation, and the added value for the University of Tübingen.}

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AI in the DFG's funding activities

_{Artificial intelligence (AI) is used for various purposes in research practice and is therefore also playing an increasingly important role in the field of RDM. With the "Guidelines for dealing with Generative Models for Text and Image Creation" and the development of initial funding opportunities, the DFG aims to address the great potential of AI in research and provide support for its use.}

Talk

PeriMyo – Prediction of Perioperative Myocardial Injury using Machine Learning

_{Mortality and morbidity after non-cardiac surgery is a major health problem, with perioperative myocardial damage playing a crucial role. Machine learning (ML) methods offer the potential to systematically identify relevant risk factors and enable individualized risk predictions for patients. In a retrospective analysis of 8347 patients, ML models with a particular focus on interpretability were developed and used to determine potential risk factors for perioperative complications.}

Talk

“And it felt really good!”: Generative AI and the Transformation of Everyday University Life of Students and Staff

_{The talk provides insights into the everyday use of generative AI by students and staff at the University of Tübingen. Based on a survey and qualitative interviews, it highlights practices, interpretations, and tensions that arise in the use of generative AI in the context of academic daily life.}

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Machine Learning for Earth System Science
_{Many relevant processes in the dynamics of the Earth system are either not understood sufficiently well, or a computationally to costly to be simulated in terms of explicit physical models. Machine Learning approaches have recently been proposed to address this issue. In my talk, I will give an overview over some recent applications of Machine Learning, including state-of-the-art generative models, in different fields of Earth system science, including spatial field reconstruction, weather prediction, and climate projections.}

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10min Break

Panel Discussion

Using AI in research data management – opportunities and challenges

Moderation

Dr. Rebecca Hahn (Public Relations Department)