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AI & Data Science Day 2025: Collaboration as the Key to Success

AI & Data Science Day 2025: Collaboration as the Key to Success
2025-09-21 bibliotheek

amsterdam, zondag, 21 september 2025.
On 30 October 2025, the most important annual event of the UvA Data Science Centre returns to the brand-new University Library. The theme ‘Data Science and AI as Teamwork’ focuses on collaboration between data scientists and AI specialists, with special attention to the role of libraries in the digital society. The day is filled with inspiring presentations, poster sessions, and interactive workshops, offering space for in-depth discussions and networking.

AI & Data Science Day 2025: Collaboration as the Key to Success

On 30 October 2025, the most important annual event of the UvA Data Science Centre returns to the brand-new University Library. The theme ‘Data Science and AI as Teamwork’ focuses on collaboration between data scientists and AI specialists, with special attention to the role of libraries in the digital society. The day is filled with inspiring presentations, poster sessions, and interactive workshops, offering space for in-depth discussions and networking [1].

Integration of AI in Modern Libraries

Modern libraries are undergoing a transformation through the integration of artificial intelligence (AI). This technology not only offers new possibilities for service delivery but also changes how information is catalogued, searched, and provided. AI-driven search systems, personalised recommendations, automatic cataloguing, and digital assistants are just some of the applications that enrich user experiences [2].

AI-Driven Search Systems

One of the most direct applications of AI in libraries is the improvement of search systems. AI algorithms can analyse complex search queries and return relevant results, even if the search terms do not exactly match the available data. This helps users find the information they need more quickly and efficiently [3].

Personalised Recommendations

AI can also be used to generate personalised recommendations based on user behaviour and preferences. By recognising patterns in reading and search behaviour, libraries can suggest content that aligns with users’ interests. This enhances engagement and promotes a more personalised experience [3].

Automatic Cataloguing

Cataloguing new additions to the collection can be a time-consuming process. AI can assist by automatically generating metadata and categorising books and articles. This saves time and resources, allowing library staff to focus on other, more strategic tasks [3].

Digital Assistants

Chatbots and other digital assistants can help users with frequently asked questions and simple tasks, such as reserving books or checking opening hours. These assistants are available 24/7 and provide immediate support, significantly improving service quality [3].

Challenges and Opportunities

While the integration of AI in libraries offers many benefits, it also presents challenges. Privacy is a significant concern, as AI systems often process personal data. Libraries must ensure that these data are handled securely and responsibly. Additionally, the role of library staff is changing, with a greater focus on managing and optimising technological systems [3].

Practical Examples of Innovative Libraries

Several libraries are already making innovative use of AI. For example, the University Library in Amsterdam has implemented an AI-driven search system that helps users find the required information quickly and accurately [1]. The Vrije Universiteit Amsterdam Library also uses chatbots to support users in their search queries [GPT].

Expert Views on the Future

Experts in the field envision a future where AI will be an integral part of library services. Dr. Max Paulus, from the Faculty of Social and Behavioural Sciences at the UvA, states that AI can significantly improve the accessibility of information and contribute to the democratisation of knowledge [1]. Prof. Dr. Corine Boon, from the Amsterdam People Analytics Centre, emphasises the importance of a human-centred, data-driven approach in implementing AI in organisations [2].

Impact on Information Literacy

The integration of AI in libraries also positively impacts information literacy. Users learn how to effectively use digital tools and critically evaluate the information they find. This is crucial in a world where the amount of available information is rapidly growing [GPT].

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