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Information Science

Information Science
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Information Science

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI Knowledge Organization Research
Internship studying knowledge organisation with analysis of classification, taxonomy, and retrieval. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
Machine Learning Information Behavior Research
Internship studying information behaviour with ML analysis of seeking, use, and sharing patterns. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Scholarly Communication Research
Internship studying scholarly communication with analysis of publishing, access, and evaluation. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Digital Curation Research
Internship studying digital curation with analysis of selection, preservation, and long-term access. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Metadata & Ontology Research
Internship studying metadata and ontologies with analysis of standards, mapping, and interoperability. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Health Information Research
Internship studying health information with analysis of quality, accessibility, and public understanding. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Scientometrics Research
Internship studying scientometrics with analysis of citation, collaboration, and research impact. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Information Literacy Research
Internship studying information literacy with analysis of evaluation skills and teaching approaches. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Misinformation & Infodemic Research
Internship studying misinformation spread with analysis of amplification, harm, and correction. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI AI-Augmented Librarianship Research
Internship studying AI-supported librarianship with analysis of discovery, curation, and user service. Interns work with realistic case datasets.
5 focused areasClick to view more details →
Natural Language Processing Information Extraction
Research developing NLP techniques to automatically extract structured information from unstructured text documents and digital collections.
5 focused areasClick to view more details →
User Behavior Analytics Search Systems
Investigate how users interact with search interfaces through log analysis, clickstream data, and behavioral pattern recognition.
5 focused areasClick to view more details →
Information Visualization Dashboard Design
Design and evaluate interactive visualizations for complex information discovery and exploratory data analysis workflows.
5 focused areasClick to view more details →
Recommender Systems Information Retrieval
Develop collaborative filtering and content-based algorithms to personalize information discovery in academic and digital library environments.
5 focused areasClick to view more details →
Social Media Information Credibility Analysis
Research methods to assess source reliability, detect fake news, and evaluate information quality across social platforms.
5 focused areasClick to view more details →
Semantic Web Linked Data Implementation
Implement RDF/OWL frameworks and linked data principles for enhanced knowledge representation and cross-domain information integration.
5 focused areasClick to view more details →
Digital Humanities Text Mining Projects
Apply computational text analysis and pattern discovery techniques to humanities corpora and cultural heritage collections.
5 focused areasClick to view more details →
Accessibility Information Architecture Research
Research inclusive design principles for organizing and presenting information to users with diverse accessibility needs.
5 focused areasClick to view more details →
Knowledge Graph Construction Evaluation
Build and evaluate knowledge graphs from structured and unstructured data to represent domain-specific information relationships.
5 focused areasClick to view more details →
Community Information Needs Assessment
Conduct ethnographic and participatory research to understand information seeking behaviors in underserved populations.
5 focused areasClick to view more details →